From 206574f4d9b735521a8772c4673a83945f8dba44 Mon Sep 17 00:00:00 2001
From: reddeupenn <redde@seas.upenn.edu>
Date: Tue, 27 Sep 2016 03:37:11 -0400
Subject: [PATCH 01/10] commiting current changes

---
 README.md                        | 262 ++++++++++++++++++++++++-
 images/bench1.png                | Bin 0 -> 135098 bytes
 images/bench2.png                | Bin 0 -> 84365 bytes
 images/bottleneck.png            | Bin 0 -> 167167 bytes
 images/memoryswapping.png        | Bin 0 -> 50792 bytes
 src/main.cpp                     | 326 +++++++++++++++++++++++++++++++
 stream_compaction/CMakeLists.txt |   2 +
 stream_compaction/common.cu      |  12 ++
 stream_compaction/cpu.cu         |  67 ++++++-
 stream_compaction/efficient.cu   | 210 +++++++++++++++++++-
 stream_compaction/naive.cu       |  80 +++++++-
 stream_compaction/radix.cu       | 285 +++++++++++++++++++++++++++
 stream_compaction/radix.h        |  11 ++
 stream_compaction/thrust.cu      |  12 ++
 14 files changed, 1257 insertions(+), 10 deletions(-)
 create mode 100644 images/bench1.png
 create mode 100644 images/bench2.png
 create mode 100644 images/bottleneck.png
 create mode 100644 images/memoryswapping.png
 create mode 100644 stream_compaction/radix.cu
 create mode 100644 stream_compaction/radix.h

diff --git a/README.md b/README.md
index b71c458..2d1e2a7 100644
--- a/README.md
+++ b/README.md
@@ -3,11 +3,269 @@ CUDA Stream Compaction
 
 **University of Pennsylvania, CIS 565: GPU Programming and Architecture, Project 2**
 
-* (TODO) YOUR NAME HERE
-* Tested on: (TODO) Windows 22, i7-2222 @ 2.22GHz 22GB, GTX 222 222MB (Moore 2222 Lab)
+* (TODO) Rony Edde (redde)
+* Tested on: Windows 10, i7-6700k @ 4.00GHz 64GB, GTX 980M 8GB (Personal Laptop)
 
 ### (TODO: Your README)
 
 Include analysis, etc. (Remember, this is public, so don't put
 anything here that you don't want to share with the world.)
 
+
+This is an implementation of scan and reduce on the CPU and GPU
+for stream compaction.
+There are 2 types of arrays to consider.  Powers of 2 and non
+powers of 2 which are part of the test.
+
+** Scan
+* The first method used is on the CPU where all elements are
+  added using a for loop.  This works very well on small arrays.
+
+* The second method consists of using the GPU to compute the
+  scan result.  This is a naive implementation where the first
+  iteration copies elements left to right (exclusive), then 
+  2^(i+1) for a depth of log2(n).  Each depth skips 2^(d-1).
+  This is faster than the CPU version for large arrays.
+
+* The third method uses a double sweep.  An upsweep, followed by
+  a downsweep using a balanced tree form.  Each sweeps takes 
+  log2(n-1) iterations but the calls on the GPU are only taking
+  place on multiples of 2^(d+1).  This should be fast because
+  there are only O(n) adds for the up sweep and O(n) adds and
+  O(n) swaps.
+
+* Thrust scan uses CUDA's thrust exclusive function which is 
+  built in the CUDA library.
+
+** Stream Compaction
+* The first implementation is on the CPU where a for loop looks
+  for values greater than 0 and adds them to the new array while
+  incrementing the count when a non zero value is found.
+
+* The second implementation uses the CPU but also uses the scan
+  function to look up indices.
+
+* The third implementation uses the GPU to generate a [0 1] 
+  mapped array which is then run into the scan GPU function
+  and used as an index lookup for placing the elements.
+  After the scan function all non zero elements will be 
+  present wich will result in a compact array with no zeros.
+
+
+** Thrust 
+* The implementation is mentionned in the Scan section.
+
+** Radix sort
+* There are 2 versions of the Radix sort.  This first one runs
+  on the CPU using a CPU version on scan.
+
+* The second version uses the GPU to run the scan.  It also uses
+  a GPU function to determine the max number in the array.  This
+  is used to determine how many loops are needed before we reach
+  the maximum amount of decimals in the maximum number.
+  Another GPU function is used to shift the scan from exclusive
+  to inclusive which is needed for a correct radix sort.
+  There are multiple scan functions that can be used, a few are
+  benchmarked.
+
+** Benchmarks
+* Running benhmarks on a range of 256 to 65536 with a power of 4
+  increment gave the following results:
+
+
+<!---
+
+****************
+** SCAN TESTS **
+****************
+    [  38  19  38  37   5  47  15  35   0  12   3   0  42 ...  26   0 ]
+==== cpu scan, power-of-two ====
+    [   0  38  57  95 132 137 184 199 234 234 246 249 249 ... 6203 6229 ]
+==== cpu scan, non-power-of-two ====
+    [   0  38  57  95 132 137 184 199 234 234 246 249 249 ... 6146 6190 ]
+    passed
+==== naive scan, power-of-two ====
+    a[129] = 3191, b[129] = 3221
+    FAIL VALUE
+==== naive scan, non-power-of-two ====
+    passed
+==== work-efficient scan, power-of-two ====
+    passed
+==== work-efficient scan, non-power-of-two ====
+    passed
+==== thrust scan, power-of-two ====
+    passed
+==== thrust scan, non-power-of-two ====
+    passed
+==== cpu radix sort ====
+    [   0   0   0   0   0   0   1   1   1   1   2   2   2 ...  49  49 ]
+    passed
+==== gpu radix sort cpu scan ====
+    [   0   0   0   0   0   0   1   1   1   1   2   2   2 ...  49  49 ]
+    passed
+==== gpu radix sort naive scan ====
+    [   0   0   0   0   0   0   1   1   1   1   2   2   2 ...  49  49 ]
+    passed
+==== gpu radix sort thrust scan ====
+    [   0   0   0   0   0   0   1   1   1   1   2   2   2 ...  49  49 ]
+    passed
+
+*****************************
+** STREAM COMPACTION TESTS **
+*****************************
+    [   2   3   2   1   3   1   1   1   2   0   1   0   2 ...   0   0 ]
+==== cpu compact without scan, power-of-two ====
+    [   2   3   2   1   3   1   1   1   2   1   2   1   1 ...   2   1 ]
+    passed
+==== cpu compact without scan, non-power-of-two ====
+    [   2   3   2   1   3   1   1   1   2   1   2   1   1 ...   3   2 ]
+    passed
+==== cpu compact with scan ====
+    [   2   3   2   1   3   1   1   1   2   1   2   1   1 ...   2   1 ]
+    passed
+==== work-efficient compact, power-of-two ====
+    passed
+==== work-efficient compact, non-power-of-two ====
+    passed
+
+****************
+** BENCHMARKS **
+****************
+
+** SIZE = 256 **
+****************
+    [  38  19  38  37   5  47  15  35   0  12   3   0  42 ...  26   0 ]
+==== cpu scan, power-of-two ====
+Time:  0 microSeconds
+==== naive scan, power-of-two ====
+Time:  146 microSeconds
+==== work-efficient scan, power-of-two ====
+Time:  166 microSeconds
+==== thrust scan, power-of-two ====
+Time:  0 microSeconds
+==== cpu radix sort ====
+Time:  36 microSeconds
+==== gpu radix sort cpu scan ====
+Time:  597 microSeconds
+==== gpu radix sort naive scan ====
+Time:  866 microSeconds
+==== gpu radix sort thrust scan ====
+Time:  436 microSeconds
+==== cpu compact without scan, power-of-two ====
+Time:  0 microSeconds
+==== cpu compact with scan ====
+Time:  1 microSeconds
+==== work-efficient compact, power-of-two ====
+Time:  637 microSeconds
+
+** SIZE = 4096 **
+****************
+    [  38  19  38  37   5  47  15  35   0  12   3   0  42 ...  24   0 ]
+==== cpu scan, power-of-two ====
+Time:  5 microSeconds
+==== naive scan, power-of-two ====
+Time:  767 microSeconds
+==== work-efficient scan, power-of-two ====
+Time:  609 microSeconds
+==== thrust scan, power-of-two ====
+Time:  7 microSeconds
+==== cpu radix sort ====
+Time:  531 microSeconds
+==== gpu radix sort cpu scan ====
+Time:  1268 microSeconds
+==== gpu radix sort naive scan ====
+Time:  1700 microSeconds
+==== gpu radix sort thrust scan ====
+Time:  1143 microSeconds
+==== cpu compact without scan, power-of-two ====
+Time:  7 microSeconds
+==== cpu compact with scan ====
+Time:  23 microSeconds
+==== work-efficient compact, power-of-two ====
+Time:  539 microSeconds
+
+** SIZE = 65536 **
+****************
+    [  38  19  38  37   5  47  15  35   0  12   3   0  42 ...  35   0 ]
+==== cpu scan, power-of-two ====
+Time:  94 microSeconds
+==== naive scan, power-of-two ====
+Time:  1072 microSeconds
+==== work-efficient scan, power-of-two ====
+Time:  833 microSeconds
+==== thrust scan, power-of-two ====
+Time:  102 microSeconds
+==== cpu radix sort ====
+Time:  8615 microSeconds
+==== gpu radix sort cpu scan ====
+Time:  5620 microSeconds
+==== gpu radix sort naive scan ====
+Time:  5810 microSeconds
+==== gpu radix sort thrust scan ====
+Time:  5537 microSeconds
+==== cpu compact without scan, power-of-two ====
+Time:  145 microSeconds
+==== cpu compact with scan ====
+Time:  413 microSeconds
+==== work-efficient compact, power-of-two ====
+Time:  1451 microSeconds
+
+** SIZE = 1048576 **
+****************
+    [  38  19  38  37   5  47  15  35   0  12   3   0  42 ...   6   0 ]
+==== cpu scan, power-of-two ====
+Time:  1521 microSeconds
+==== naive scan, power-of-two ====
+Time:  17 microSeconds
+==== work-efficient scan, power-of-two ====
+Time:  27 microSeconds
+==== thrust scan, power-of-two ====
+Time:  3638 microSeconds
+==== cpu radix sort ====
+Time:  137808 microSeconds
+==== gpu radix sort cpu scan ====
+Time:  8723 microSeconds
+==== gpu radix sort naive scan ====
+Time:  8787 microSeconds
+==== gpu radix sort thrust scan ====
+Time:  8568 microSeconds
+==== cpu compact without scan, power-of-two ====
+Time:  2321 microSeconds
+==== cpu compact with scan ====
+Time:  10280 microSeconds
+==== work-efficient compact, power-of-two ====
+Time:  2295 microSeconds
+
+** SIZE = 16777216 **
+****************
+    [  38  19  38  37   5  47  15  35   0  12   3   0  42 ...  42   0 ]
+==== cpu scan, power-of-two ====
+Time:  24411 microSeconds
+==== naive scan, power-of-two ====
+Time:  19 microSeconds
+==== work-efficient scan, power-of-two ====
+Time:  32 microSeconds
+==== thrust scan, power-of-two ====
+Time:  64703 microSeconds
+==== cpu radix sort ====
+Time:  2208906 microSeconds
+==== gpu radix sort cpu scan ====
+Time:  145916 microSeconds
+==== gpu radix sort naive scan ====
+Time:  145302 microSeconds
+==== gpu radix sort thrust scan ====
+Time:  144644 microSeconds
+==== cpu compact without scan, power-of-two ====
+Time:  37473 microSeconds
+==== cpu compact with scan ====
+Time:  167007 microSeconds
+==== work-efficient compact, power-of-two ====
+Time:  39963 microSeconds
+Press any key to continue . . .
+-->
+
+
+
+
+
+
diff --git a/images/bench1.png b/images/bench1.png
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literal 0
HcmV?d00001

diff --git a/src/main.cpp b/src/main.cpp
index 675da35..f7cd7a4 100644
--- a/src/main.cpp
+++ b/src/main.cpp
@@ -11,7 +11,18 @@
 #include <stream_compaction/naive.h>
 #include <stream_compaction/efficient.h>
 #include <stream_compaction/thrust.h>
+#include <stream_compaction/radix.h>
 #include "testing_helpers.hpp"
+#include <algorithm>
+#include <time.h>
+#include <iostream>
+#include <windows.h>
+
+
+int comparator(const void* a, const void* b)
+{
+    return (*(int*)a - *(int*)b);
+}
 
 int main(int argc, char* argv[]) {
     const int SIZE = 1 << 8;
@@ -76,6 +87,40 @@ int main(int argc, char* argv[]) {
     //printArray(NPOT, c, true);
     printCmpResult(NPOT, b, c);
 
+    printDesc("cpu radix sort");
+    memcpy(b, a, sizeof(int)*SIZE);
+    memcpy(c, a, sizeof(int)*SIZE);
+    std::qsort(b, SIZE, sizeof(int), comparator);
+    //printArray(SIZE, b, true);
+    StreamCompaction::Radix::radixCPU(SIZE, c, a);
+    printArray(SIZE, c, true);
+    printCmpResult(NPOT, b, c);
+
+
+    printDesc("gpu radix sort cpu scan");
+    memcpy(c, a, sizeof(int)*SIZE);
+    std::qsort(b, SIZE, sizeof(int), comparator);
+    //printArray(SIZE, b, true);
+    StreamCompaction::Radix::radixGPU(SIZE, c, a, StreamCompaction::Radix::CPU);
+    printArray(SIZE, c, true);
+    printCmpResult(NPOT, b, c);
+
+    printDesc("gpu radix sort naive scan");
+    memcpy(c, a, sizeof(int)*SIZE);
+    std::qsort(b, SIZE, sizeof(int), comparator);
+    //printArray(SIZE, b, true);
+    StreamCompaction::Radix::radixGPU(SIZE, c, a, StreamCompaction::Radix::NAIVE);
+    printArray(SIZE, c, true);
+    printCmpResult(NPOT, b, c);
+
+    printDesc("gpu radix sort thrust scan");
+    memcpy(c, a, sizeof(int)*SIZE);
+    std::qsort(b, SIZE, sizeof(int), comparator);
+    //printArray(SIZE, b, true);
+    StreamCompaction::Radix::radixGPU(SIZE, c, a, StreamCompaction::Radix::THRUST);
+    printArray(SIZE, c, true);
+    printCmpResult(NPOT, b, c);
+
     printf("\n");
     printf("*****************************\n");
     printf("** STREAM COMPACTION TESTS **\n");
@@ -120,4 +165,285 @@ int main(int argc, char* argv[]) {
     count = StreamCompaction::Efficient::compact(NPOT, c, a);
     //printArray(count, c, true);
     printCmpLenResult(count, expectedNPOT, b, c);
+
+
+
+
+
+
+
+
+
+
+
+
+    {
+        // bechmarks
+
+        // Scan tests
+
+        printf("\n");
+        printf("****************\n");
+        printf("** BENCHMARKS **\n");
+        printf("****************\n");
+
+        
+        clock_t t;
+        int f;
+        LARGE_INTEGER start, end, freq;
+
+
+
+        
+        int iterations = 5;
+        int maxiterations = 25;
+        for (int i = 8; i < maxiterations;  i += 1)
+        {
+            int SIZE = (1 << i);
+            int NPOT = SIZE - 3;
+
+            printf("\n** SIZE = %d **\n", SIZE);
+            printf("****************\n");
+
+            int* a = new int[SIZE];
+            int* b = new int[SIZE];
+            int* c = new int[SIZE];
+            zeroArray(SIZE, a);
+            zeroArray(SIZE, b);
+            zeroArray(SIZE, c);
+
+            genArray(SIZE - 1, a, 50);  // Leave a 0 at the end to test that edge case
+            a[SIZE - 1] = 0;
+            printArray(SIZE, a, true);
+
+            //t = clock();
+
+            //t = clock() - t;
+            //printf("Elapsed time %f second(s).\n", t, ((float)t) / CLOCKS_PER_SEC);
+
+            Sleep(1);
+            zeroArray(SIZE, b);
+            printDesc("cpu scan, power-of-two");
+            QueryPerformanceFrequency(&freq);
+            QueryPerformanceCounter(&start);
+            for (int j = 0; j < iterations; j++)
+                StreamCompaction::CPU::scan(SIZE, b, a);
+            QueryPerformanceCounter(&end);
+            std::cout << "Time:  " << ((end.QuadPart - start.QuadPart) * 1000000 / freq.QuadPart)/iterations << " microSeconds\n";
+
+            /*
+            Sleep(1);
+            zeroArray(SIZE, c);
+            printDesc("cpu scan, non-power-of-two");
+            QueryPerformanceFrequency(&freq);
+            QueryPerformanceCounter(&start);
+            for (int j = 0; j < iterations; j++)
+                StreamCompaction::CPU::scan(NPOT, c, a);
+            QueryPerformanceCounter(&end);
+            std::cout << "Time:  " << ((end.QuadPart - start.QuadPart) * 1000000 / freq.QuadPart)/iterations << " microSeconds\n";
+            */
+
+
+            Sleep(1);
+            zeroArray(SIZE, c);
+            printDesc("naive scan, power-of-two");
+            QueryPerformanceFrequency(&freq);
+            QueryPerformanceCounter(&start);
+            for (int j = 0; j < iterations; j++)
+                StreamCompaction::Naive::scan(SIZE, c, a);
+            QueryPerformanceCounter(&end);
+            std::cout << "Time:  " << ((end.QuadPart - start.QuadPart) * 1000000 / freq.QuadPart)/iterations << " microSeconds\n";
+
+            /*
+            Sleep(1);
+            zeroArray(SIZE, c);
+            printDesc("naive scan, non-power-of-two");
+            QueryPerformanceFrequency(&freq);
+            QueryPerformanceCounter(&start);
+            for (int j = 0; j < iterations; j++)
+                StreamCompaction::Naive::scan(NPOT, c, a);
+            QueryPerformanceCounter(&end);
+            std::cout << "Time:  " << ((end.QuadPart - start.QuadPart) * 1000000 / freq.QuadPart)/iterations << " microSeconds\n";
+            */
+
+
+
+            Sleep(1);
+            zeroArray(SIZE, c);
+            printDesc("work-efficient scan, power-of-two");
+            QueryPerformanceFrequency(&freq);
+            QueryPerformanceCounter(&start);
+            for (int j = 0; j < iterations; j++)
+                StreamCompaction::Efficient::scan(SIZE, c, a);
+            QueryPerformanceCounter(&end);
+            std::cout << "Time:  " << ((end.QuadPart - start.QuadPart) * 1000000 / freq.QuadPart)/iterations << " microSeconds\n";
+
+            /*
+            Sleep(1);
+            zeroArray(SIZE, c);
+            printDesc("work-efficient scan, non-power-of-two");
+            QueryPerformanceFrequency(&freq);
+            QueryPerformanceCounter(&start);
+            for (int j = 0; j < iterations; j++)
+                StreamCompaction::Efficient::scan(NPOT, c, a);
+            QueryPerformanceCounter(&end);
+            std::cout << "Time:  " << ((end.QuadPart - start.QuadPart) * 1000000 / freq.QuadPart)/iterations << " microSeconds\n";
+            */
+
+
+            Sleep(1);
+            zeroArray(SIZE, c);
+            printDesc("thrust scan, power-of-two");
+            QueryPerformanceFrequency(&freq);
+            QueryPerformanceCounter(&start);
+            for (int j = 0; j < iterations; j++)
+                StreamCompaction::Thrust::scan(SIZE, c, a);
+            QueryPerformanceCounter(&end);
+            std::cout << "Time:  " << ((end.QuadPart - start.QuadPart) * 1000000 / freq.QuadPart)/iterations << " microSeconds\n";
+
+            /*
+            Sleep(1);
+            zeroArray(SIZE, c);
+            printDesc("thrust scan, non-power-of-two");
+            QueryPerformanceFrequency(&freq);
+            QueryPerformanceCounter(&start);
+            for (int j = 0; j < iterations; j++)
+                StreamCompaction::Thrust::scan(NPOT, c, a);
+            QueryPerformanceCounter(&end);
+            std::cout << "Time:  " << ((end.QuadPart - start.QuadPart) * 1000000 / freq.QuadPart)/iterations << " microSeconds\n";
+            */
+
+
+            Sleep(1);
+            printDesc("cpu radix sort");
+            memcpy(c, a, sizeof(int)*SIZE);
+            QueryPerformanceFrequency(&freq);
+            QueryPerformanceCounter(&start);
+            for (int j = 0; j < iterations; j++)
+                StreamCompaction::Radix::radixCPU(SIZE, c, a);
+            QueryPerformanceCounter(&end);
+            std::cout << "Time:  " << ((end.QuadPart - start.QuadPart) * 1000000 / freq.QuadPart)/iterations << " microSeconds\n";
+
+            Sleep(1);
+            printDesc("gpu radix sort cpu scan");
+            memcpy(c, a, sizeof(int)*SIZE);
+            QueryPerformanceFrequency(&freq);
+            QueryPerformanceCounter(&start);
+            for (int j = 0; j < iterations; j++)
+                StreamCompaction::Radix::radixGPU(SIZE, c, a, StreamCompaction::Radix::CPU);
+            QueryPerformanceCounter(&end);
+            std::cout << "Time:  " << ((end.QuadPart - start.QuadPart) * 1000000 / freq.QuadPart)/iterations << " microSeconds\n";
+            
+            Sleep(1);
+            printDesc("gpu radix sort naive scan");
+            memcpy(c, a, sizeof(int)*SIZE);
+            QueryPerformanceFrequency(&freq);
+            QueryPerformanceCounter(&start);
+            for (int j = 0; j < iterations; j++)
+                StreamCompaction::Radix::radixGPU(SIZE, c, a, StreamCompaction::Radix::NAIVE);
+            QueryPerformanceCounter(&end);
+            std::cout << "Time:  " << ((end.QuadPart - start.QuadPart) * 1000000 / freq.QuadPart)/iterations << " microSeconds\n";
+
+            Sleep(1);
+            printDesc("gpu radix sort thrust scan");
+            memcpy(c, a, sizeof(int)*SIZE);
+            QueryPerformanceFrequency(&freq);
+            QueryPerformanceCounter(&start);
+            for (int j = 0; j < iterations; j++)
+                StreamCompaction::Radix::radixGPU(SIZE, c, a, StreamCompaction::Radix::THRUST);
+            QueryPerformanceCounter(&end);
+            std::cout << "Time:  " << ((end.QuadPart - start.QuadPart) * 1000000 / freq.QuadPart)/iterations << " microSeconds\n";
+
+
+
+
+            // compaction
+
+
+            genArray(SIZE - 1, a, 4);  // Leave a 0 at the end to test that edge case
+            a[SIZE - 1] = 0;
+
+            Sleep(1);
+            zeroArray(SIZE, b);
+            printDesc("cpu compact without scan, power-of-two");
+            QueryPerformanceFrequency(&freq);
+            QueryPerformanceCounter(&start);
+            for (int j = 0; j < iterations; j++)
+            count = StreamCompaction::CPU::compactWithoutScan(SIZE, b, a);
+            QueryPerformanceCounter(&end);
+            std::cout << "Time:  " << ((end.QuadPart - start.QuadPart) * 1000000 / freq.QuadPart) / iterations << " microSeconds\n";
+
+
+            /*
+            Sleep(1);
+            zeroArray(SIZE, c);
+            printDesc("cpu compact without scan, non-power-of-two");
+            QueryPerformanceFrequency(&freq);
+            QueryPerformanceCounter(&start);
+            for (int j = 0; j < iterations; j++)
+            count = StreamCompaction::CPU::compactWithoutScan(NPOT, c, a);
+            QueryPerformanceCounter(&end);
+            std::cout << "Time:  " << ((end.QuadPart - start.QuadPart) * 1000000 / freq.QuadPart) / iterations << " microSeconds\n";
+            */
+
+
+            Sleep(1);
+            zeroArray(SIZE, c);
+            printDesc("cpu compact with scan");
+            QueryPerformanceFrequency(&freq);
+            QueryPerformanceCounter(&start);
+            for (int j = 0; j < iterations; j++)
+            count = StreamCompaction::CPU::compactWithScan(SIZE, c, a);
+            QueryPerformanceCounter(&end);
+            std::cout << "Time:  " << ((end.QuadPart - start.QuadPart) * 1000000 / freq.QuadPart) / iterations << " microSeconds\n";
+
+            Sleep(1);
+            zeroArray(SIZE, c);
+            printDesc("work-efficient compact, power-of-two");
+            QueryPerformanceFrequency(&freq);
+            QueryPerformanceCounter(&start);
+            for (int j = 0; j < iterations; j++)
+            count = StreamCompaction::Efficient::compact(SIZE, c, a);
+            QueryPerformanceCounter(&end);
+            std::cout << "Time:  " << ((end.QuadPart - start.QuadPart) * 1000000 / freq.QuadPart) / iterations << " microSeconds\n";
+
+            /*
+            Sleep(1);
+            zeroArray(SIZE, c);
+            printDesc("work-efficient compact, non-power-of-two");
+            QueryPerformanceFrequency(&freq);
+            QueryPerformanceCounter(&start);
+            for (int j = 0; j < iterations; j++)
+            count = StreamCompaction::Efficient::compact(NPOT, c, a);
+            QueryPerformanceCounter(&end);
+            std::cout << "Time:  " << ((end.QuadPart - start.QuadPart) * 1000000 / freq.QuadPart) / iterations << " microSeconds\n";
+            */
+
+
+
+
+
+
+
+
+
+
+
+
+            delete[] a;
+            delete[] b;
+            delete[] c;
+
+            Sleep(1);
+
+        }
+
+    }
+
+
+
+
+
+
+    return 0;
 }
diff --git a/stream_compaction/CMakeLists.txt b/stream_compaction/CMakeLists.txt
index cdbef77..bcc484e 100644
--- a/stream_compaction/CMakeLists.txt
+++ b/stream_compaction/CMakeLists.txt
@@ -9,6 +9,8 @@ set(SOURCE_FILES
     "efficient.cu"
     "thrust.h"
     "thrust.cu"
+    "radix.h"
+    "radix.cu"
     )
 
 cuda_add_library(stream_compaction
diff --git a/stream_compaction/common.cu b/stream_compaction/common.cu
index fe872d4..1ad61e8 100644
--- a/stream_compaction/common.cu
+++ b/stream_compaction/common.cu
@@ -24,6 +24,12 @@ namespace Common {
  */
 __global__ void kernMapToBoolean(int n, int *bools, const int *idata) {
     // TODO
+    int index = (blockIdx.x * blockDim.x) + threadIdx.x;
+    if (index >= n)
+        return;
+
+    bools[index] = idata[index] != 0;
+    
 }
 
 /**
@@ -33,6 +39,12 @@ __global__ void kernMapToBoolean(int n, int *bools, const int *idata) {
 __global__ void kernScatter(int n, int *odata,
         const int *idata, const int *bools, const int *indices) {
     // TODO
+    int index = (blockIdx.x * blockDim.x) + threadIdx.x;
+    if (index >= n)
+        return;
+
+    if (bools[index] == 1)
+        odata[indices[index]] = idata[index];
 }
 
 }
diff --git a/stream_compaction/cpu.cu b/stream_compaction/cpu.cu
index e600c29..f37c227 100644
--- a/stream_compaction/cpu.cu
+++ b/stream_compaction/cpu.cu
@@ -9,7 +9,12 @@ namespace CPU {
  */
 void scan(int n, int *odata, const int *idata) {
     // TODO
-    printf("TODO\n");
+    //printf("TODO\n");
+    odata[0] = 0;
+    for (int i = 1; i < n; i++)
+    {
+        odata[i] = odata[i-1] + idata[i-1];
+    }
 }
 
 /**
@@ -19,7 +24,18 @@ void scan(int n, int *odata, const int *idata) {
  */
 int compactWithoutScan(int n, int *odata, const int *idata) {
     // TODO
-    return -1;
+    int count = 0;
+    odata[0] = 0;
+
+    for (int i = 0; i < n; i++)
+    {
+        if (idata[i] != 0)
+        {
+            odata[count] = idata[i];
+            count++;
+        }
+    }
+    return count;
 }
 
 /**
@@ -29,7 +45,52 @@ int compactWithoutScan(int n, int *odata, const int *idata) {
  */
 int compactWithScan(int n, int *odata, const int *idata) {
     // TODO
-    return -1;
+    //return -1;
+    
+    int* mapdata = new int[n];
+    int* scandata = new int[n];
+
+    memset(mapdata, 0, n*sizeof(int));
+    memset(scandata, 0, n*sizeof(int));
+    
+
+    for (int i = 0; i < n; i++)
+    {
+        if (idata[i] != 0)
+            mapdata[i] = 1;
+    }
+    
+    scan(n, scandata, mapdata);
+    
+    int count = 0;
+    for (int i = 0; i < n; i++)
+    {
+        //odata[count] = mapdata[i] * idata[scandata[i]];
+        //count += mapdata[i];
+        if (mapdata[i] != 0)
+        {
+            odata[scandata[i]] = idata[i];
+        }
+    }
+    count = scandata[n - 1] + mapdata[n-1];
+
+    /*
+    printf("\n%-10s", "idata: "); for (int i = 0; i < 20; i++)
+       printf("%d ", idata[i]);
+    printf("\n%-10s", "mapdata: "); for (int i = 0; i < 20; i++)
+        printf("%d ", mapdata[i]);
+    printf("\n%-10s", "scandata: "); for (int i = 0; i < 20; i++)
+        printf("%d ", scandata[i]);
+    printf("\n%-10s", "odata: "); for (int i = 0; i < 20; i++)
+        printf("%d ", odata[i]);
+    printf("\n");
+    */
+
+    delete[] mapdata;
+    delete[] scandata;
+
+    return count;
+
 }
 
 }
diff --git a/stream_compaction/efficient.cu b/stream_compaction/efficient.cu
index b2f739b..f1aa594 100644
--- a/stream_compaction/efficient.cu
+++ b/stream_compaction/efficient.cu
@@ -7,13 +7,142 @@ namespace StreamCompaction {
 namespace Efficient {
 
 // TODO: __global__
+#define blockSize 128
+
+    int* dev_idata;
+    int* dev_odata;
+    int* dev_bools;
+    int* dev_indices;
+    int* dev_scandata;
+
+
+    __global__ void kernupsweep(int n, int d, int* dev_scandata)
+    {
+        int k = (blockIdx.x * blockDim.x) + threadIdx.x;
+        if (k >= n)
+            return;
+        
+        if (k % (1 << (d + 1)) == 0)
+            dev_scandata[k + (1 << (d + 1)) - 1] += dev_scandata[k + (1 << d) - 1];// +dev_scandata[k + (1 << (d + 1)) - 1];
+    }
+
+    __global__ void kerndownsweep(int n, int d, int* dev_scandata)
+    {
+        int k = (blockIdx.x * blockDim.x) + threadIdx.x;
+        if (k >= n)
+            return;
+
+        if (k % (1<<(d+1)) == 0)
+        {
+            int t = dev_scandata[k + (1<<d) - 1];
+            dev_scandata[k + (1<<d) - 1] = dev_scandata[k + (1<<(d+1)) - 1];
+            dev_scandata[k + (1<<(d+1)) - 1] = t + dev_scandata[k + (1<<(d+1)) - 1];
+        }
+    }
+
+    __global__ void kernscan(int n, int d, int* dev_scandata, int* dev_scandata2)
+    {
+        int k = (blockIdx.x * blockDim.x) + threadIdx.x;
+        if (k >= n)
+            return;
+
+        if (k >= (1<<(d-1)))
+            dev_scandata[k] = dev_scandata2[k] + dev_scandata2[k - (1<<(d-1))];
+    }
+
+    __global__ void kerninc2exc(int n, int* dev_scandata, int* dev_scandata2)
+    {
+        int k = (blockIdx.x * blockDim.x) + threadIdx.x;
+        if (k >= n)
+            return;
+
+        if (k == 0)
+            dev_scandata[0] = 0;
+        else
+            dev_scandata[k] = dev_scandata2[k - 1];
+    }
+
+
+    void setup(int n, const int* idata)
+    {
+        cudaMalloc((void**)&dev_scandata, n * sizeof(int));
+        cudaMemcpy(dev_scandata, idata, sizeof(int) * n, cudaMemcpyHostToDevice);
+    }
+
+    void cleanup(void)
+    {
+        cudaFree(dev_scandata);
+    }
+
+    void setupcompact(int n, const int* idata)
+    {
+        cudaMalloc((void**)&dev_idata, n * sizeof(int));
+        cudaMalloc((void**)&dev_odata, n * sizeof(int));
+        cudaMalloc((void**)&dev_bools, n * sizeof(int));
+        cudaMalloc((void**)&dev_indices, n * sizeof(int));
+        cudaMalloc((void**)&dev_scandata, n * sizeof(int));
+
+        cudaMemset(dev_bools, 0, sizeof(int) * n);
+        cudaMemset(dev_indices, 0, sizeof(int) * n);
+        cudaMemcpy(dev_scandata, idata, sizeof(int) * n, cudaMemcpyHostToDevice);
+    }
+
+    void cleanupcompact(void)
+    {
+        cudaFree(dev_idata);
+        cudaFree(dev_odata);
+        cudaFree(dev_bools);
+        cudaFree(dev_indices);
+        cudaFree(dev_scandata);
+    }
 
 /**
  * Performs prefix-sum (aka scan) on idata, storing the result into odata.
  */
 void scan(int n, int *odata, const int *idata) {
     // TODO
-    printf("TODO\n");
+    //printf("TODO\n");
+
+    dim3 blocks((n + blockSize - 1) / blockSize);
+
+    int nold = n;
+
+    if (n % 2 == 0)
+    {
+        n = 1 << ilog2ceil(n);
+        setup(n, idata);
+        for (int d = 0; d <= ilog2ceil(n)-1; d++)
+        {
+            kernupsweep << <blocks, blockSize >> >(n, d, dev_scandata);
+        }
+
+        cudaMemset(dev_scandata+(n-1), 0, sizeof(int));
+        for (int d = ilog2ceil(n); d>=0; d--)
+        {
+            kerndownsweep << <blocks, blockSize >> >(n, d, dev_scandata);
+        }
+        cudaMemcpy(odata, dev_scandata, sizeof(int) * n, cudaMemcpyDeviceToHost);
+    }
+    else
+    {
+        n = 1 << ilog2ceil(n);
+        setup(n, idata);
+        
+        for (int d = 0; d <= ilog2ceil(n) - 1; d++)
+        {
+            kernupsweep << <blocks, blockSize >> >(n, d, dev_scandata);
+        }
+
+        cudaMemset(dev_scandata+(n-1), 0, sizeof(int));
+        for (int d = ilog2ceil(n); d >= 0; d--)
+        {
+            kerndownsweep << <blocks, blockSize >> >(n, d, dev_scandata);
+        }
+        cudaMemcpy(odata, dev_scandata, sizeof(int) * n, cudaMemcpyDeviceToHost);
+    }
+
+    cleanup();
+
 }
 
 /**
@@ -27,7 +156,84 @@ void scan(int n, int *odata, const int *idata) {
  */
 int compact(int n, int *odata, const int *idata) {
     // TODO
-    return -1;
+
+    dim3 blocks((n + blockSize - 1) / blockSize);
+    int count = 0;
+
+    if (n % 2 == 0)
+    {
+        n = 1 << ilog2ceil(n);
+
+        setupcompact(n, idata);
+
+        int* bools = new int[n];
+        int* indices = new int[n];
+        memset(bools, 0, sizeof(int)*n);
+        memset(indices, 0, sizeof(int)*n);
+        cudaMemcpy(dev_idata, idata, sizeof(int)*n, cudaMemcpyHostToDevice);
+        cudaMemcpy(dev_odata, odata, sizeof(int)*n, cudaMemcpyHostToDevice);
+
+        StreamCompaction::Common::kernMapToBoolean << <blocks, blockSize >> > (n, dev_bools, dev_scandata);
+
+        scan(n, dev_indices, dev_bools);
+        cudaMemcpy(bools, dev_bools, sizeof(int) * n, cudaMemcpyDeviceToHost);
+        cudaMemcpy(indices, dev_indices, sizeof(int) * n, cudaMemcpyDeviceToHost);
+
+        StreamCompaction::Common::kernScatter << <blocks, blockSize >> > (n, dev_odata, dev_idata, dev_bools, dev_indices);
+
+        cudaMemcpy(odata, dev_odata, sizeof(int)*n, cudaMemcpyDeviceToHost);
+
+        /*
+        printf("\n%-10s", "bools: "); for (int i = 0; i < 20; i++)
+        printf("%d ", bools[i]);
+        printf("\n%-10s", "scans: "); for (int i = 0; i < 20; i++)
+        printf("%d ", indices[i]);
+        printf("\n%-10s", "idata: "); for (int i = 0; i < 20; i++)
+        printf("%d ", idata[i]);
+        printf("\n%-10s", "odata: "); for (int i = 0; i < 20; i++)
+        printf("%d ", odata[i]);
+        printf("\n");
+        */
+
+        count = indices[n - 1] +bools[n - 1];
+
+        cleanupcompact();
+
+        delete[] bools;
+        delete[] indices;
+    }
+    else
+    {
+        n = 1 << ilog2ceil(n);
+
+        setupcompact(n, idata);
+
+        int* bools = new int[n];
+        int* indices = new int[n];
+        memset(bools, 0, sizeof(int)*n);
+        memset(indices, 0, sizeof(int)*n);
+        cudaMemcpy(dev_idata, idata, sizeof(int)*n, cudaMemcpyHostToDevice);
+        cudaMemcpy(dev_odata, odata, sizeof(int)*n, cudaMemcpyHostToDevice);
+
+        StreamCompaction::Common::kernMapToBoolean << <blocks, blockSize >> > (n, dev_bools, dev_scandata);
+
+        scan(n, dev_indices, dev_bools);
+        cudaMemcpy(bools, dev_bools, sizeof(int) * n, cudaMemcpyDeviceToHost);
+        cudaMemcpy(indices, dev_indices, sizeof(int) * n, cudaMemcpyDeviceToHost);
+
+        StreamCompaction::Common::kernScatter << <blocks, blockSize >> > (n, dev_odata, dev_idata, dev_bools, dev_indices);
+
+        cudaMemcpy(odata, dev_odata, sizeof(int)*n, cudaMemcpyDeviceToHost);
+
+        count = indices[n - 1] +bools[n - 1] - 1;
+
+        cleanupcompact();
+
+        delete[] bools;
+        delete[] indices;
+    }
+
+    return count;
 }
 
 }
diff --git a/stream_compaction/naive.cu b/stream_compaction/naive.cu
index 3d86b60..5e1b5f8 100644
--- a/stream_compaction/naive.cu
+++ b/stream_compaction/naive.cu
@@ -2,18 +2,92 @@
 #include <cuda_runtime.h>
 #include "common.h"
 #include "naive.h"
+#include <algorithm>
 
 namespace StreamCompaction {
 namespace Naive {
 
 // TODO: __global__
+#define blockSize 128
 
+    int* dev_scandata;
+    int* dev_scandata2;
+
+
+    __global__ void kernscan(int n, int d, int* dev_scandata, int* dev_scandata2)
+    {
+        int k = (blockIdx.x * blockDim.x) + threadIdx.x;
+        if (k >= n)
+            return;
+
+        if (k >= 1 << (d - 1))
+        {
+            dev_scandata[k] = dev_scandata2[k] + dev_scandata2[k - (1 << (d - 1))];
+            dev_scandata2[k] = dev_scandata[k];  //swap
+        }
+    }
+
+    __global__ void kerninc2exc(int n, int* dev_scandata, int* dev_scandata2)
+    {
+        int k = (blockIdx.x * blockDim.x) + threadIdx.x;
+        if (k >= n)
+            return;
+        
+        if (k == 0)
+            dev_scandata[0] = 0;
+        else
+            dev_scandata[k] = dev_scandata2[k-1];
+    }
 /**
  * Performs prefix-sum (aka scan) on idata, storing the result into odata.
  */
-void scan(int n, int *odata, const int *idata) {
-    // TODO
-    printf("TODO\n");
+    void scan(int n, int *odata, const int *idata) {
+        // TODO
+        //printf("TODO\n");
+
+
+        cudaMalloc((void**)&dev_scandata, n * sizeof(int));
+        cudaMalloc((void**)&dev_scandata2, n * sizeof(int));
+
+        cudaMemcpy(dev_scandata2, idata, sizeof(int) * n, cudaMemcpyHostToDevice);
+        cudaMemcpy(dev_scandata, dev_scandata2, sizeof(int) * n, cudaMemcpyDeviceToDevice);
+
+
+        dim3 blocks((n + blockSize - 1) / blockSize);
+
+        int count = 0;
+        if (n % 2 == 0)
+        {
+            for (int d = 1; d <= ilog2ceil(n); d++)
+            {
+                kernscan << <blocks, blockSize >> >(n, d, dev_scandata, dev_scandata2);
+                count++;   
+            }
+        }
+        else
+        {
+            for (int d = 1; d <= ilog2ceil(n)+1; d++)
+            {
+                kernscan << <blocks, blockSize >> >(n, d, dev_scandata, dev_scandata2);
+                count++;
+            }
+        }
+        
+        if (n % 2 == 0)
+        {
+            kerninc2exc << <blocks, blockSize >> >(n,
+                dev_scandata2, dev_scandata);
+            cudaMemcpy(odata, dev_scandata2, sizeof(int) * n, cudaMemcpyDeviceToHost);
+        }
+        else
+        {
+            kerninc2exc << <blocks, blockSize >> >(n,
+                dev_scandata, dev_scandata2);
+            cudaMemcpy(odata, dev_scandata, sizeof(int) * n, cudaMemcpyDeviceToHost);
+        }
+
+    cudaFree(dev_scandata);
+    cudaFree(dev_scandata2);
 }
 
 }
diff --git a/stream_compaction/radix.cu b/stream_compaction/radix.cu
new file mode 100644
index 0000000..a0f3e0c
--- /dev/null
+++ b/stream_compaction/radix.cu
@@ -0,0 +1,285 @@
+#include <cuda.h>
+#include <cuda_runtime.h>
+#include "common.h"
+#include "naive.h"
+#include "radix.h"
+#include "efficient.h"
+#include "thrust.h"
+#include "cpu.h"
+#include <algorithm>
+
+namespace StreamCompaction {
+namespace Radix {
+
+
+#define blockSize 128
+
+    int getDigit(int number, int i)
+    {
+        int d = 0;
+        if (i == 1)
+        {
+            d = number % (10 * i);
+            return d;
+        }
+        else if (i > 1)
+        {
+            int currpower = (pow(10, i));
+            int prevpower = (pow(10, i - 1));
+
+            if (number < prevpower)
+                return -1;
+
+            int nextdigits = number % (prevpower);
+            d = (number%currpower - nextdigits) / prevpower;
+
+            return d;
+        }
+        return -1;
+    }
+
+
+
+
+    __global__ void kernDecimalsMap(int n, int sbit, int *decimals, const int *idata) {
+        // TODO
+        int index = (blockIdx.x * blockDim.x) + threadIdx.x;
+        if (index >= n)
+            return;
+
+        int number = idata[index];
+
+        // get digit
+        int d = 0;
+        if (sbit == 1)
+        {
+            d = number % (10 * sbit);
+        }
+        else if (sbit > 1)
+        {
+            int currpower = (int)(pow(double(10), double(sbit)));
+            int prevpower = (int)(pow(double(10), double(sbit - 1)));
+
+            if (number < prevpower)
+                d = -1;
+
+            int nextdigits = number % (prevpower);
+            d = (number%currpower - nextdigits) / prevpower;
+        }
+        else
+            d = -1;
+        // end get digit
+
+        decimals[index] = d;
+    }
+
+
+    __global__ void kernexc2inc(int n, int* dev_scandata, int* dev_scandata2)
+    {
+        int k = (blockIdx.x * blockDim.x) + threadIdx.x;
+        if (k >= n-1)
+            return;
+
+        dev_scandata[k] = dev_scandata2[k+1];
+    }
+
+    void exc2inc(int n, int *odata, const int *idata)
+    {
+        dim3 blocks((n + blockSize - 1) / blockSize);
+        int* dev_idata;
+        int* dev_odata;
+        cudaMalloc((void**)&dev_idata, sizeof(int) * n);
+        cudaMalloc((void**)&dev_odata, sizeof(int) * n);
+        cudaMemcpy(dev_idata, idata, sizeof(int)*n, cudaMemcpyHostToDevice);
+        cudaMemcpy(dev_odata, odata, sizeof(int)*n, cudaMemcpyHostToDevice);
+
+        kernexc2inc << <blocks, blockSize >> >(n, dev_odata, dev_idata);
+        cudaMemcpy(odata, dev_odata, sizeof(int)*n, cudaMemcpyDeviceToHost);
+        
+        if (n>1)
+            odata[n - 1] += odata[n-2];
+
+        cudaFree(dev_idata);
+        cudaFree(dev_odata);
+    }
+
+    int findMax(int n, const int* nums)
+    {
+        int max = 0;
+        for (int i = 0; i < n; i++)
+            max = max < nums[i] ? nums[i] : max;
+        return max;
+    }
+
+
+    __global__ void kernFindMax(int n, int d, int* dev_scandata, int* dev_scandata2)
+    {
+        int k = (blockIdx.x * blockDim.x) + threadIdx.x;
+        if (k >= n)
+            return;
+
+        if (k >= 1 << (d - 1))
+        {
+            dev_scandata[k] = dev_scandata2[k] < dev_scandata2[k - (1 << (d - 1))] ? dev_scandata2[k - (1 << (d - 1))] : dev_scandata2[k];
+            dev_scandata2[k] = dev_scandata[k];  //swap
+        }
+    }
+
+    void findMaxGPU(int n, int *odata, const int *idata)
+    {
+        dim3 blocks((n + blockSize - 1) / blockSize);
+        int* dev_scandata;
+        int* dev_scandata2;
+        cudaMalloc((void**)&dev_scandata, n * sizeof(int));
+        cudaMalloc((void**)&dev_scandata2, n * sizeof(int));
+
+        cudaMemcpy(dev_scandata2, idata, sizeof(int) * n, cudaMemcpyHostToDevice);
+        cudaMemcpy(dev_scandata, dev_scandata2, sizeof(int) * n, cudaMemcpyDeviceToDevice);
+
+        if (n % 2 == 0)
+        {
+            for (int d = 1; d <= ilog2ceil(n); d++)
+                kernFindMax << <blocks, blockSize >> >(n, d, dev_scandata, dev_scandata2);
+        }
+        else
+        {
+            for (int d = 1; d <= ilog2ceil(n) + 1; d++)
+                kernFindMax << <blocks, blockSize >> >(n, d, dev_scandata, dev_scandata2);
+        }
+
+        cudaMemcpy(odata, dev_scandata, sizeof(int) * n, cudaMemcpyDeviceToHost);
+        cudaFree(dev_scandata);
+        cudaFree(dev_scandata2);
+    }
+/**
+ * Performs prefix-sum (aka scan) on idata, storing the result into odata.
+ */
+    void radixCPU(int n, int *odata, const int *idata) {
+        // TODO
+        //printf("TODO\n");
+
+        int* mapping = new int[10];
+        int* idatacpy = new int[n];
+        memcpy(idatacpy, idata, sizeof(int)*n);
+
+        memset(odata, 0, sizeof(int)*n);
+        
+        int sbit = 1;
+        bool notdone = true;
+
+        while (notdone)
+        {
+            memset(mapping, 0, sizeof(int) * 10);
+            notdone = false;
+            for (int i = 0; i < n; i++)
+            {
+                int number = idatacpy[i];
+                int val = getDigit(number, sbit);
+                if (val != -1)
+                {
+                    mapping[val]++;
+                    notdone = true;
+                }
+                else
+                    mapping[0]++;
+            }
+            if (notdone == false)
+                break;
+
+            for (int i = 1; i < 10; i++)
+                mapping[i] += mapping[i - 1];
+
+            for (int i = n - 1; i >= 0; i--)
+            {
+                int number = idatacpy[i];
+                int digit = getDigit(number, sbit);
+                int mapidx = digit == -1 ? 0 : digit;
+                mapping[mapidx] -= 1;
+                int index = mapping[mapidx];
+                odata[index] = number;
+            }
+
+            memcpy(idatacpy, odata, sizeof(int)*n);
+            sbit += 1;
+        }
+}
+    void radixGPU(int n, int *odata, const int *idata, gputesttype testtype) {
+        // TODO
+        //printf("TODO\n");
+
+        dim3 blocks((n + blockSize - 1) / blockSize);
+
+        int* dev_decmapping;
+        int* dev_idata;
+        cudaMalloc((void**)&dev_decmapping, sizeof(int) * n);
+        cudaMalloc((void**)&dev_idata, sizeof(int) * n);
+        cudaMemset(dev_decmapping, 0, sizeof(int) * n);
+        cudaMemcpy(dev_idata, idata, sizeof(int)*n, cudaMemcpyHostToDevice);
+
+        int* idatacpy = new int[n];
+        int* decmapping = new int[n];
+        int* deccount = new int[10];
+        int* decscan = new int[10];
+        memcpy(idatacpy, idata, sizeof(int) * n);
+        memset(decmapping, 0, sizeof(int) * n);
+        
+        memset(odata, 0, sizeof(int)*n);
+
+
+        findMaxGPU(n, odata, idata);
+        int maxnum = odata[n - 1];
+
+        memset(odata, 0, sizeof(int)*n);
+
+        int maxbit = maxnum > 0 ? (int)log10((double)maxnum) + 1 : 1;
+
+        for (int sbit = 1; sbit <= maxbit; sbit++)
+        {
+
+            memset(deccount, 0, sizeof(int) * 10);
+            memset(decscan, 0, sizeof(int) * 10);
+
+            kernDecimalsMap << <blocks, blockSize >> >(n, sbit, dev_decmapping, dev_idata);
+            cudaMemcpy(decmapping, dev_decmapping, sizeof(int)*n, cudaMemcpyDeviceToHost);
+            for (int i = 0; i < n; i++)
+                deccount[decmapping[i]]++;
+
+        
+            if (testtype == 0)
+                CPU::scan(10, decscan, deccount);
+            else if (testtype == 1)
+                Naive::scan(10, decscan, deccount);
+            else if (testtype == 2)
+                Thrust::scan(10, decscan, deccount);
+
+
+            exc2inc(10, deccount, decscan);
+        
+        
+            for (int i = n - 1; i >= 0; i--)
+            {
+                int number = idatacpy[i];
+                int digit = getDigit(number, sbit);
+                int mapidx = digit < 0 ? 0 : digit;
+                deccount[mapidx] -= 1;
+                int index = deccount[mapidx];
+                if (index>=0)
+                    odata[index] = number;
+            }
+
+            memcpy(idatacpy, odata, sizeof(int) * n);
+        
+        }
+
+        memcpy(idatacpy, odata, sizeof(int) * n);
+
+        cudaFree(dev_decmapping);
+        cudaFree(dev_idata);
+
+        delete[] decmapping;
+        delete[] deccount;
+        delete[] decscan;
+        delete[] idatacpy;
+    }
+}
+}
diff --git a/stream_compaction/radix.h b/stream_compaction/radix.h
new file mode 100644
index 0000000..5f65e70
--- /dev/null
+++ b/stream_compaction/radix.h
@@ -0,0 +1,11 @@
+#pragma once
+
+
+namespace StreamCompaction {
+namespace Radix {
+    enum gputesttype { CPU, NAIVE, THRUST };
+
+    void radixCPU(int n, int *odata, const int *idata);
+    void radixGPU(int n, int *odata, const int *idata, gputesttype testtype);
+}
+}
diff --git a/stream_compaction/thrust.cu b/stream_compaction/thrust.cu
index d8dbb32..1939199 100644
--- a/stream_compaction/thrust.cu
+++ b/stream_compaction/thrust.cu
@@ -16,6 +16,18 @@ void scan(int n, int *odata, const int *idata) {
     // TODO use `thrust::exclusive_scan`
     // example: for device_vectors dv_in and dv_out:
     // thrust::exclusive_scan(dv_in.begin(), dv_in.end(), dv_out.begin());
+
+    //thrust::exclusive_scan(dv_in.begin(), dv_in.end(), dv_out.begin());
+
+
+    thrust::host_vector<int> dv_in(idata, idata + n);
+    thrust::host_vector<int> dv_out(odata, odata + n);
+
+    thrust::exclusive_scan(dv_in.begin(), dv_in.end(), dv_out.begin());
+
+    //odata = &(dv_out.front()); 
+    for (int i = 0; i < n; i++)
+        odata[i] = dv_out[i];
 }
 
 }

From 2db316a91395ff40ed1ecb266724ddee29567082 Mon Sep 17 00:00:00 2001
From: reddeupenn <redde@seas.upenn.edu>
Date: Tue, 27 Sep 2016 11:32:53 -0400
Subject: [PATCH 02/10] first draft

---
 README.md | 48 ++++++++++++++++++++++++++++++++++++++++++++----
 1 file changed, 44 insertions(+), 4 deletions(-)

diff --git a/README.md b/README.md
index 2d1e2a7..e853565 100644
--- a/README.md
+++ b/README.md
@@ -73,8 +73,7 @@ powers of 2 which are part of the test.
   increment gave the following results:
 
 
-<!---
-
+```
 ****************
 ** SCAN TESTS **
 ****************
@@ -262,8 +261,49 @@ Time:  167007 microSeconds
 ==== work-efficient compact, power-of-two ====
 Time:  39963 microSeconds
 Press any key to continue . . .
--->
-
+```
+
+* Large scale results:
+![largescale](./images/bench1.png)
+
+* Small scale results:
+![largescale](./images/bench2.png)
+
+
+The significance is obvious between the CPU and GPU
+implementations.  When looking at small arrays, the
+CPU seems to take an interesting advantage.  However
+on large arrays, the CPU implementations scale very
+poorly, hence the need to have 2 graph scales.
+Radix sort suffers particularly when running on the 
+CPU.  One pattern that emerges is that the naive
+and efficient methods scale logarithmically.
+The efficient version was a fraction slower and that
+is due to interrupts between the up and downscan.
+Every time upscan is called, memory has to be
+allocated and copied, the same happens with downscan
+This is shown in the last figure.  Despite that,
+the loss is minumal.
+Thrust scan does well and scales linearly albeit not
+as good as the naive and efficient methods.
+One thing that was interesting to note is that radix
+benefitted more from the thrust scan than the other
+GPU implementations.  Again possibly due to the 
+multiple GPU functions.  The max number function is
+run on the GPU and memory is copied back and forth.
+One bottleneck that manifests itself in the graph
+below is from the kernDecimalsMap function.
+Not enough resources are used during this function
+which created a bottleneck that is minimal but not
+desired.  About 40% og the GPU is not used.
+This is very obvious when looking at the following
+timeline and the kernDecimalsMap function:
+* Cuda memory calls frequency:
+![timeline](memoryswapping.png)
+
+
+* DecimalsMap bottleneck:
+![timeline](bottleneck.png)
 
 
 

From 9bd46f3c54d9b1210aec7e90a616a81a1023b063 Mon Sep 17 00:00:00 2001
From: reddeupenn <redde@seas.upenn.edu>
Date: Tue, 27 Sep 2016 11:40:44 -0400
Subject: [PATCH 03/10] fixed formatting

---
 README.md | 14 +++++++-------
 1 file changed, 7 insertions(+), 7 deletions(-)

diff --git a/README.md b/README.md
index e853565..cbfa761 100644
--- a/README.md
+++ b/README.md
@@ -17,7 +17,7 @@ for stream compaction.
 There are 2 types of arrays to consider.  Powers of 2 and non
 powers of 2 which are part of the test.
 
-** Scan
+  * ## Scan
 * The first method used is on the CPU where all elements are
   added using a for loop.  This works very well on small arrays.
 
@@ -37,7 +37,7 @@ powers of 2 which are part of the test.
 * Thrust scan uses CUDA's thrust exclusive function which is 
   built in the CUDA library.
 
-** Stream Compaction
+  * ## Stream Compaction
 * The first implementation is on the CPU where a for loop looks
   for values greater than 0 and adds them to the new array while
   incrementing the count when a non zero value is found.
@@ -52,10 +52,10 @@ powers of 2 which are part of the test.
   present wich will result in a compact array with no zeros.
 
 
-** Thrust 
+  * ## Thrust 
 * The implementation is mentionned in the Scan section.
 
-** Radix sort
+  * ## Radix sort
 * There are 2 versions of the Radix sort.  This first one runs
   on the CPU using a CPU version on scan.
 
@@ -68,7 +68,7 @@ powers of 2 which are part of the test.
   There are multiple scan functions that can be used, a few are
   benchmarked.
 
-** Benchmarks
+  * ## Benchmarks
 * Running benhmarks on a range of 256 to 65536 with a power of 4
   increment gave the following results:
 
@@ -299,11 +299,11 @@ desired.  About 40% og the GPU is not used.
 This is very obvious when looking at the following
 timeline and the kernDecimalsMap function:
 * Cuda memory calls frequency:
-![timeline](memoryswapping.png)
+![timeline](../memoryswapping.png)
 
 
 * DecimalsMap bottleneck:
-![timeline](bottleneck.png)
+![timeline](../bottleneck.png)
 
 
 

From bec561f8f8b85b160d1d7eace772c3d4349bd054 Mon Sep 17 00:00:00 2001
From: reddeupenn <redde@seas.upenn.edu>
Date: Tue, 27 Sep 2016 11:41:40 -0400
Subject: [PATCH 04/10] fixed formatting take 2

---
 README.md | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/README.md b/README.md
index cbfa761..794ed61 100644
--- a/README.md
+++ b/README.md
@@ -17,7 +17,7 @@ for stream compaction.
 There are 2 types of arrays to consider.  Powers of 2 and non
 powers of 2 which are part of the test.
 
-  * ## Scan
+  * Scan
 * The first method used is on the CPU where all elements are
   added using a for loop.  This works very well on small arrays.
 
@@ -37,7 +37,7 @@ powers of 2 which are part of the test.
 * Thrust scan uses CUDA's thrust exclusive function which is 
   built in the CUDA library.
 
-  * ## Stream Compaction
+  * Stream Compaction
 * The first implementation is on the CPU where a for loop looks
   for values greater than 0 and adds them to the new array while
   incrementing the count when a non zero value is found.
@@ -52,10 +52,10 @@ powers of 2 which are part of the test.
   present wich will result in a compact array with no zeros.
 
 
-  * ## Thrust 
+  * Thrust 
 * The implementation is mentionned in the Scan section.
 
-  * ## Radix sort
+  * Radix sort
 * There are 2 versions of the Radix sort.  This first one runs
   on the CPU using a CPU version on scan.
 
@@ -68,7 +68,7 @@ powers of 2 which are part of the test.
   There are multiple scan functions that can be used, a few are
   benchmarked.
 
-  * ## Benchmarks
+  * Benchmarks
 * Running benhmarks on a range of 256 to 65536 with a power of 4
   increment gave the following results:
 

From 5bcb9d76e35ed22683b7f981ee659d0ab127011a Mon Sep 17 00:00:00 2001
From: reddeupenn <redde@seas.upenn.edu>
Date: Tue, 27 Sep 2016 11:43:27 -0400
Subject: [PATCH 05/10] fixed image paths

---
 README.md | 36 ++++++++++++++++++------------------
 1 file changed, 18 insertions(+), 18 deletions(-)

diff --git a/README.md b/README.md
index 794ed61..dbdf923 100644
--- a/README.md
+++ b/README.md
@@ -17,49 +17,49 @@ for stream compaction.
 There are 2 types of arrays to consider.  Powers of 2 and non
 powers of 2 which are part of the test.
 
-  * Scan
-* The first method used is on the CPU where all elements are
+* Scan
+  * The first method used is on the CPU where all elements are
   added using a for loop.  This works very well on small arrays.
 
-* The second method consists of using the GPU to compute the
+  * The second method consists of using the GPU to compute the
   scan result.  This is a naive implementation where the first
   iteration copies elements left to right (exclusive), then 
   2^(i+1) for a depth of log2(n).  Each depth skips 2^(d-1).
   This is faster than the CPU version for large arrays.
 
-* The third method uses a double sweep.  An upsweep, followed by
+  * The third method uses a double sweep.  An upsweep, followed by
   a downsweep using a balanced tree form.  Each sweeps takes 
   log2(n-1) iterations but the calls on the GPU are only taking
   place on multiples of 2^(d+1).  This should be fast because
   there are only O(n) adds for the up sweep and O(n) adds and
   O(n) swaps.
 
-* Thrust scan uses CUDA's thrust exclusive function which is 
+  * Thrust scan uses CUDA's thrust exclusive function which is 
   built in the CUDA library.
 
-  * Stream Compaction
-* The first implementation is on the CPU where a for loop looks
+* Stream Compaction
+  * The first implementation is on the CPU where a for loop looks
   for values greater than 0 and adds them to the new array while
   incrementing the count when a non zero value is found.
 
-* The second implementation uses the CPU but also uses the scan
+  * The second implementation uses the CPU but also uses the scan
   function to look up indices.
 
-* The third implementation uses the GPU to generate a [0 1] 
+  * The third implementation uses the GPU to generate a [0 1] 
   mapped array which is then run into the scan GPU function
   and used as an index lookup for placing the elements.
   After the scan function all non zero elements will be 
   present wich will result in a compact array with no zeros.
 
 
-  * Thrust 
-* The implementation is mentionned in the Scan section.
+* Thrust 
+  * The implementation is mentionned in the Scan section.
 
-  * Radix sort
-* There are 2 versions of the Radix sort.  This first one runs
+* Radix sort
+  * There are 2 versions of the Radix sort.  This first one runs
   on the CPU using a CPU version on scan.
 
-* The second version uses the GPU to run the scan.  It also uses
+  * The second version uses the GPU to run the scan.  It also uses
   a GPU function to determine the max number in the array.  This
   is used to determine how many loops are needed before we reach
   the maximum amount of decimals in the maximum number.
@@ -68,8 +68,8 @@ powers of 2 which are part of the test.
   There are multiple scan functions that can be used, a few are
   benchmarked.
 
-  * Benchmarks
-* Running benhmarks on a range of 256 to 65536 with a power of 4
+* Benchmarks
+  * Running benhmarks on a range of 256 to 65536 with a power of 4
   increment gave the following results:
 
 
@@ -264,10 +264,10 @@ Press any key to continue . . .
 ```
 
 * Large scale results:
-![largescale](./images/bench1.png)
+![largescale](../images/bench1.png)
 
 * Small scale results:
-![largescale](./images/bench2.png)
+![largescale](../images/bench2.png)
 
 
 The significance is obvious between the CPU and GPU

From 75403fa61a6ad9d992eb8021e2637b3a6357934a Mon Sep 17 00:00:00 2001
From: reddeupenn <redde@seas.upenn.edu>
Date: Tue, 27 Sep 2016 11:44:24 -0400
Subject: [PATCH 06/10] fixed image paths

---
 README.md | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/README.md b/README.md
index dbdf923..0ff9675 100644
--- a/README.md
+++ b/README.md
@@ -264,10 +264,10 @@ Press any key to continue . . .
 ```
 
 * Large scale results:
-![largescale](../images/bench1.png)
+![largescale](./images/bench1.png)
 
 * Small scale results:
-![largescale](../images/bench2.png)
+![largescale](./images/bench2.png)
 
 
 The significance is obvious between the CPU and GPU
@@ -299,11 +299,11 @@ desired.  About 40% og the GPU is not used.
 This is very obvious when looking at the following
 timeline and the kernDecimalsMap function:
 * Cuda memory calls frequency:
-![timeline](../memoryswapping.png)
+![timeline](./images/memoryswapping.png)
 
 
 * DecimalsMap bottleneck:
-![timeline](../bottleneck.png)
+![timeline](./images/bottleneck.png)
 
 
 

From e0bd127b6e233e7e7de3a4766971c071e2eea434 Mon Sep 17 00:00:00 2001
From: reddeupenn <redde@seas.upenn.edu>
Date: Tue, 27 Sep 2016 14:18:59 -0400
Subject: [PATCH 07/10] updated test results and readme

---
 README.md                      | 413 +++++++++++++++++++++++++++----
 src/main.cpp                   |   5 +-
 stream_compaction/efficient.cu | 430 ++++++++++++++++++---------------
 stream_compaction/naive.cu     |   2 +-
 4 files changed, 606 insertions(+), 244 deletions(-)

diff --git a/README.md b/README.md
index 0ff9675..0409d95 100644
--- a/README.md
+++ b/README.md
@@ -74,6 +74,7 @@ powers of 2 which are part of the test.
 
 
 ```
+
 ****************
 ** SCAN TESTS **
 ****************
@@ -84,9 +85,11 @@ powers of 2 which are part of the test.
     [   0  38  57  95 132 137 184 199 234 234 246 249 249 ... 6146 6190 ]
     passed
 ==== naive scan, power-of-two ====
+    [   0  38  57  95 132 137 184 199 234 234 246 249 249 ... 6203 6259 ]
     a[129] = 3191, b[129] = 3221
     FAIL VALUE
 ==== naive scan, non-power-of-two ====
+    [   0  38  57  95 132 137 184 199 234 234 246 249 249 ...   0   0 ]
     passed
 ==== work-efficient scan, power-of-two ====
     passed
@@ -123,9 +126,11 @@ powers of 2 which are part of the test.
     [   2   3   2   1   3   1   1   1   2   1   2   1   1 ...   2   1 ]
     passed
 ==== work-efficient compact, power-of-two ====
-    passed
+    expected 190 elements, got 0
+    FAIL COUNT
 ==== work-efficient compact, non-power-of-two ====
-    passed
+    expected 189 elements, got -1
+    FAIL COUNT
 
 ****************
 ** BENCHMARKS **
@@ -137,25 +142,103 @@ powers of 2 which are part of the test.
 ==== cpu scan, power-of-two ====
 Time:  0 microSeconds
 ==== naive scan, power-of-two ====
-Time:  146 microSeconds
+Time:  580 microSeconds
 ==== work-efficient scan, power-of-two ====
-Time:  166 microSeconds
+Time:  628 microSeconds
 ==== thrust scan, power-of-two ====
+Time:  1 microSeconds
+==== cpu radix sort ====
+Time:  34 microSeconds
+==== gpu radix sort cpu scan ====
+Time:  925 microSeconds
+==== gpu radix sort naive scan ====
+Time:  1093 microSeconds
+==== gpu radix sort thrust scan ====
+Time:  903 microSeconds
+==== cpu compact without scan, power-of-two ====
+Time:  0 microSeconds
+==== cpu compact with scan ====
+Time:  1 microSeconds
+==== work-efficient compact, power-of-two ====
+Time:  729 microSeconds
+
+** SIZE = 512 **
+****************
+    [  38  19  38  37   5  47  15  35   0  12   3   0  42 ...  11   0 ]
+==== cpu scan, power-of-two ====
 Time:  0 microSeconds
+==== naive scan, power-of-two ====
+Time:  540 microSeconds
+==== work-efficient scan, power-of-two ====
+Time:  578 microSeconds
+==== thrust scan, power-of-two ====
+Time:  1 microSeconds
 ==== cpu radix sort ====
-Time:  36 microSeconds
+Time:  66 microSeconds
 ==== gpu radix sort cpu scan ====
-Time:  597 microSeconds
+Time:  1593 microSeconds
 ==== gpu radix sort naive scan ====
-Time:  866 microSeconds
+Time:  2907 microSeconds
 ==== gpu radix sort thrust scan ====
-Time:  436 microSeconds
+Time:  1690 microSeconds
 ==== cpu compact without scan, power-of-two ====
 Time:  0 microSeconds
 ==== cpu compact with scan ====
+Time:  3 microSeconds
+==== work-efficient compact, power-of-two ====
+Time:  718 microSeconds
+
+** SIZE = 1024 **
+****************
+    [  38  19  38  37   5  47  15  35   0  12   3   0  42 ...  40   0 ]
+==== cpu scan, power-of-two ====
+Time:  1 microSeconds
+==== naive scan, power-of-two ====
+Time:  550 microSeconds
+==== work-efficient scan, power-of-two ====
+Time:  527 microSeconds
+==== thrust scan, power-of-two ====
+Time:  8 microSeconds
+==== cpu radix sort ====
+Time:  137 microSeconds
+==== gpu radix sort cpu scan ====
+Time:  2025 microSeconds
+==== gpu radix sort naive scan ====
+Time:  2654 microSeconds
+==== gpu radix sort thrust scan ====
+Time:  1655 microSeconds
+==== cpu compact without scan, power-of-two ====
 Time:  1 microSeconds
+==== cpu compact with scan ====
+Time:  5 microSeconds
+==== work-efficient compact, power-of-two ====
+Time:  775 microSeconds
+
+** SIZE = 2048 **
+****************
+    [  38  19  38  37   5  47  15  35   0  12   3   0  42 ...  32   0 ]
+==== cpu scan, power-of-two ====
+Time:  2 microSeconds
+==== naive scan, power-of-two ====
+Time:  579 microSeconds
+==== work-efficient scan, power-of-two ====
+Time:  612 microSeconds
+==== thrust scan, power-of-two ====
+Time:  2 microSeconds
+==== cpu radix sort ====
+Time:  264 microSeconds
+==== gpu radix sort cpu scan ====
+Time:  2095 microSeconds
+==== gpu radix sort naive scan ====
+Time:  2749 microSeconds
+==== gpu radix sort thrust scan ====
+Time:  1875 microSeconds
+==== cpu compact without scan, power-of-two ====
+Time:  3 microSeconds
+==== cpu compact with scan ====
+Time:  10 microSeconds
 ==== work-efficient compact, power-of-two ====
-Time:  637 microSeconds
+Time:  734 microSeconds
 
 ** SIZE = 4096 **
 ****************
@@ -163,25 +246,103 @@ Time:  637 microSeconds
 ==== cpu scan, power-of-two ====
 Time:  5 microSeconds
 ==== naive scan, power-of-two ====
-Time:  767 microSeconds
+Time:  538 microSeconds
 ==== work-efficient scan, power-of-two ====
-Time:  609 microSeconds
+Time:  574 microSeconds
 ==== thrust scan, power-of-two ====
-Time:  7 microSeconds
+Time:  6 microSeconds
 ==== cpu radix sort ====
-Time:  531 microSeconds
+Time:  533 microSeconds
 ==== gpu radix sort cpu scan ====
-Time:  1268 microSeconds
+Time:  2041 microSeconds
 ==== gpu radix sort naive scan ====
-Time:  1700 microSeconds
+Time:  2819 microSeconds
 ==== gpu radix sort thrust scan ====
-Time:  1143 microSeconds
+Time:  1928 microSeconds
 ==== cpu compact without scan, power-of-two ====
 Time:  7 microSeconds
 ==== cpu compact with scan ====
 Time:  23 microSeconds
 ==== work-efficient compact, power-of-two ====
-Time:  539 microSeconds
+Time:  781 microSeconds
+
+** SIZE = 8192 **
+****************
+    [  38  19  38  37   5  47  15  35   0  12   3   0  42 ...   4   0 ]
+==== cpu scan, power-of-two ====
+Time:  11 microSeconds
+==== naive scan, power-of-two ====
+Time:  555 microSeconds
+==== work-efficient scan, power-of-two ====
+Time:  631 microSeconds
+==== thrust scan, power-of-two ====
+Time:  11 microSeconds
+==== cpu radix sort ====
+Time:  1062 microSeconds
+==== gpu radix sort cpu scan ====
+Time:  2257 microSeconds
+==== gpu radix sort naive scan ====
+Time:  3114 microSeconds
+==== gpu radix sort thrust scan ====
+Time:  2471 microSeconds
+==== cpu compact without scan, power-of-two ====
+Time:  16 microSeconds
+==== cpu compact with scan ====
+Time:  47 microSeconds
+==== work-efficient compact, power-of-two ====
+Time:  825 microSeconds
+
+** SIZE = 16384 **
+****************
+    [  38  19  38  37   5  47  15  35   0  12   3   0  42 ...  26   0 ]
+==== cpu scan, power-of-two ====
+Time:  23 microSeconds
+==== naive scan, power-of-two ====
+Time:  554 microSeconds
+==== work-efficient scan, power-of-two ====
+Time:  619 microSeconds
+==== thrust scan, power-of-two ====
+Time:  21 microSeconds
+==== cpu radix sort ====
+Time:  2181 microSeconds
+==== gpu radix sort cpu scan ====
+Time:  3084 microSeconds
+==== gpu radix sort naive scan ====
+Time:  3642 microSeconds
+==== gpu radix sort thrust scan ====
+Time:  2595 microSeconds
+==== cpu compact without scan, power-of-two ====
+Time:  34 microSeconds
+==== cpu compact with scan ====
+Time:  97 microSeconds
+==== work-efficient compact, power-of-two ====
+Time:  866 microSeconds
+
+** SIZE = 32768 **
+****************
+    [  38  19  38  37   5  47  15  35   0  12   3   0  42 ...   7   0 ]
+==== cpu scan, power-of-two ====
+Time:  49 microSeconds
+==== naive scan, power-of-two ====
+Time:  612 microSeconds
+==== work-efficient scan, power-of-two ====
+Time:  895 microSeconds
+==== thrust scan, power-of-two ====
+Time:  44 microSeconds
+==== cpu radix sort ====
+Time:  4240 microSeconds
+==== gpu radix sort cpu scan ====
+Time:  4343 microSeconds
+==== gpu radix sort naive scan ====
+Time:  5006 microSeconds
+==== gpu radix sort thrust scan ====
+Time:  3910 microSeconds
+==== cpu compact without scan, power-of-two ====
+Time:  69 microSeconds
+==== cpu compact with scan ====
+Time:  196 microSeconds
+==== work-efficient compact, power-of-two ====
+Time:  1046 microSeconds
 
 ** SIZE = 65536 **
 ****************
@@ -189,77 +350,233 @@ Time:  539 microSeconds
 ==== cpu scan, power-of-two ====
 Time:  94 microSeconds
 ==== naive scan, power-of-two ====
-Time:  1072 microSeconds
+Time:  704 microSeconds
+==== work-efficient scan, power-of-two ====
+Time:  917 microSeconds
+==== thrust scan, power-of-two ====
+Time:  90 microSeconds
+==== cpu radix sort ====
+Time:  8625 microSeconds
+==== gpu radix sort cpu scan ====
+Time:  6799 microSeconds
+==== gpu radix sort naive scan ====
+Time:  7905 microSeconds
+==== gpu radix sort thrust scan ====
+Time:  6677 microSeconds
+==== cpu compact without scan, power-of-two ====
+Time:  140 microSeconds
+==== cpu compact with scan ====
+Time:  397 microSeconds
+==== work-efficient compact, power-of-two ====
+Time:  1730 microSeconds
+
+** SIZE = 131072 **
+****************
+    [  38  19  38  37   5  47  15  35   0  12   3   0  42 ...  10   0 ]
+==== cpu scan, power-of-two ====
+Time:  188 microSeconds
+==== naive scan, power-of-two ====
+Time:  885 microSeconds
+==== work-efficient scan, power-of-two ====
+Time:  1259 microSeconds
+==== thrust scan, power-of-two ====
+Time:  432 microSeconds
+==== cpu radix sort ====
+Time:  17407 microSeconds
+==== gpu radix sort cpu scan ====
+Time:  12398 microSeconds
+==== gpu radix sort naive scan ====
+Time:  14302 microSeconds
+==== gpu radix sort thrust scan ====
+Time:  11650 microSeconds
+==== cpu compact without scan, power-of-two ====
+Time:  280 microSeconds
+==== cpu compact with scan ====
+Time:  1034 microSeconds
+==== work-efficient compact, power-of-two ====
+Time:  1204 microSeconds
+
+** SIZE = 262144 **
+****************
+    [  38  19  38  37   5  47  15  35   0  12   3   0  42 ...  42   0 ]
+==== cpu scan, power-of-two ====
+Time:  738 microSeconds
+==== naive scan, power-of-two ====
+Time:  15 microSeconds
 ==== work-efficient scan, power-of-two ====
-Time:  833 microSeconds
+Time:  25 microSeconds
 ==== thrust scan, power-of-two ====
-Time:  102 microSeconds
+Time:  766 microSeconds
 ==== cpu radix sort ====
-Time:  8615 microSeconds
+Time:  35010 microSeconds
 ==== gpu radix sort cpu scan ====
-Time:  5620 microSeconds
+Time:  2323 microSeconds
 ==== gpu radix sort naive scan ====
-Time:  5810 microSeconds
+Time:  2052 microSeconds
 ==== gpu radix sort thrust scan ====
-Time:  5537 microSeconds
+Time:  1959 microSeconds
 ==== cpu compact without scan, power-of-two ====
-Time:  145 microSeconds
+Time:  590 microSeconds
 ==== cpu compact with scan ====
-Time:  413 microSeconds
+Time:  2427 microSeconds
 ==== work-efficient compact, power-of-two ====
-Time:  1451 microSeconds
+Time:  523 microSeconds
+
+** SIZE = 524288 **
+****************
+    [  38  19  38  37   5  47  15  35   0  12   3   0  42 ...  42   0 ]
+==== cpu scan, power-of-two ====
+Time:  1415 microSeconds
+==== naive scan, power-of-two ====
+Time:  16 microSeconds
+==== work-efficient scan, power-of-two ====
+Time:  24 microSeconds
+==== thrust scan, power-of-two ====
+Time:  1762 microSeconds
+==== cpu radix sort ====
+Time:  69752 microSeconds
+==== gpu radix sort cpu scan ====
+Time:  4077 microSeconds
+==== gpu radix sort naive scan ====
+Time:  4009 microSeconds
+==== gpu radix sort thrust scan ====
+Time:  4086 microSeconds
+==== cpu compact without scan, power-of-two ====
+Time:  1143 microSeconds
+==== cpu compact with scan ====
+Time:  4837 microSeconds
+==== work-efficient compact, power-of-two ====
+Time:  1044 microSeconds
 
 ** SIZE = 1048576 **
 ****************
     [  38  19  38  37   5  47  15  35   0  12   3   0  42 ...   6   0 ]
 ==== cpu scan, power-of-two ====
-Time:  1521 microSeconds
+Time:  2821 microSeconds
 ==== naive scan, power-of-two ====
 Time:  17 microSeconds
 ==== work-efficient scan, power-of-two ====
-Time:  27 microSeconds
+Time:  26 microSeconds
+==== thrust scan, power-of-two ====
+Time:  3631 microSeconds
+==== cpu radix sort ====
+Time:  139054 microSeconds
+==== gpu radix sort cpu scan ====
+Time:  8441 microSeconds
+==== gpu radix sort naive scan ====
+Time:  8830 microSeconds
+==== gpu radix sort thrust scan ====
+Time:  9037 microSeconds
+==== cpu compact without scan, power-of-two ====
+Time:  2301 microSeconds
+==== cpu compact with scan ====
+Time:  8768 microSeconds
+==== work-efficient compact, power-of-two ====
+Time:  2365 microSeconds
+
+** SIZE = 2097152 **
+****************
+    [  38  19  38  37   5  47  15  35   0  12   3   0  42 ...   2   0 ]
+==== cpu scan, power-of-two ====
+Time:  4628 microSeconds
+==== naive scan, power-of-two ====
+Time:  20 microSeconds
+==== work-efficient scan, power-of-two ====
+Time:  31 microSeconds
+==== thrust scan, power-of-two ====
+Time:  7244 microSeconds
+==== cpu radix sort ====
+Time:  277141 microSeconds
+==== gpu radix sort cpu scan ====
+Time:  17729 microSeconds
+==== gpu radix sort naive scan ====
+Time:  17591 microSeconds
+==== gpu radix sort thrust scan ====
+Time:  17553 microSeconds
+==== cpu compact without scan, power-of-two ====
+Time:  4684 microSeconds
+==== cpu compact with scan ====
+Time:  17774 microSeconds
+==== work-efficient compact, power-of-two ====
+Time:  4784 microSeconds
+
+** SIZE = 4194304 **
+****************
+    [  38  19  38  37   5  47  15  35   0  12   3   0  42 ...  26   0 ]
+==== cpu scan, power-of-two ====
+Time:  6579 microSeconds
+==== naive scan, power-of-two ====
+Time:  18 microSeconds
+==== work-efficient scan, power-of-two ====
+Time:  30 microSeconds
+==== thrust scan, power-of-two ====
+Time:  15121 microSeconds
+==== cpu radix sort ====
+Time:  555419 microSeconds
+==== gpu radix sort cpu scan ====
+Time:  35741 microSeconds
+==== gpu radix sort naive scan ====
+Time:  35411 microSeconds
+==== gpu radix sort thrust scan ====
+Time:  35747 microSeconds
+==== cpu compact without scan, power-of-two ====
+Time:  9555 microSeconds
+==== cpu compact with scan ====
+Time:  35407 microSeconds
+==== work-efficient compact, power-of-two ====
+Time:  9463 microSeconds
+
+** SIZE = 8388608 **
+****************
+    [  38  19  38  37   5  47  15  35   0  12   3   0  42 ...  10   0 ]
+==== cpu scan, power-of-two ====
+Time:  13667 microSeconds
+==== naive scan, power-of-two ====
+Time:  18 microSeconds
+==== work-efficient scan, power-of-two ====
+Time:  29 microSeconds
 ==== thrust scan, power-of-two ====
-Time:  3638 microSeconds
+Time:  31478 microSeconds
 ==== cpu radix sort ====
-Time:  137808 microSeconds
+Time:  1111762 microSeconds
 ==== gpu radix sort cpu scan ====
-Time:  8723 microSeconds
+Time:  71012 microSeconds
 ==== gpu radix sort naive scan ====
-Time:  8787 microSeconds
+Time:  70982 microSeconds
 ==== gpu radix sort thrust scan ====
-Time:  8568 microSeconds
+Time:  71596 microSeconds
 ==== cpu compact without scan, power-of-two ====
-Time:  2321 microSeconds
+Time:  18627 microSeconds
 ==== cpu compact with scan ====
-Time:  10280 microSeconds
+Time:  69722 microSeconds
 ==== work-efficient compact, power-of-two ====
-Time:  2295 microSeconds
+Time:  18604 microSeconds
 
 ** SIZE = 16777216 **
 ****************
     [  38  19  38  37   5  47  15  35   0  12   3   0  42 ...  42   0 ]
 ==== cpu scan, power-of-two ====
-Time:  24411 microSeconds
+Time:  25969 microSeconds
 ==== naive scan, power-of-two ====
-Time:  19 microSeconds
+Time:  20 microSeconds
 ==== work-efficient scan, power-of-two ====
-Time:  32 microSeconds
+Time:  31 microSeconds
 ==== thrust scan, power-of-two ====
-Time:  64703 microSeconds
+Time:  61397 microSeconds
 ==== cpu radix sort ====
-Time:  2208906 microSeconds
+Time:  2213557 microSeconds
 ==== gpu radix sort cpu scan ====
-Time:  145916 microSeconds
+Time:  142111 microSeconds
 ==== gpu radix sort naive scan ====
-Time:  145302 microSeconds
+Time:  142175 microSeconds
 ==== gpu radix sort thrust scan ====
-Time:  144644 microSeconds
+Time:  142549 microSeconds
 ==== cpu compact without scan, power-of-two ====
-Time:  37473 microSeconds
+Time:  38071 microSeconds
 ==== cpu compact with scan ====
-Time:  167007 microSeconds
+Time:  140700 microSeconds
 ==== work-efficient compact, power-of-two ====
-Time:  39963 microSeconds
+Time:  38334 microSeconds
 Press any key to continue . . .
 ```
 
diff --git a/src/main.cpp b/src/main.cpp
index f7cd7a4..b157977 100644
--- a/src/main.cpp
+++ b/src/main.cpp
@@ -44,6 +44,7 @@ int main(int argc, char* argv[]) {
     printDesc("cpu scan, power-of-two");
     StreamCompaction::CPU::scan(SIZE, b, a);
     printArray(SIZE, b, true);
+    
 
     zeroArray(SIZE, c);
     printDesc("cpu scan, non-power-of-two");
@@ -54,13 +55,13 @@ int main(int argc, char* argv[]) {
     zeroArray(SIZE, c);
     printDesc("naive scan, power-of-two");
     StreamCompaction::Naive::scan(SIZE, c, a);
-    //printArray(SIZE, c, true);
+    printArray(SIZE, c, true);
     printCmpResult(SIZE, b, c);
 
     zeroArray(SIZE, c);
     printDesc("naive scan, non-power-of-two");
     StreamCompaction::Naive::scan(NPOT, c, a);
-    //printArray(SIZE, c, true);
+    printArray(SIZE, c, true);
     printCmpResult(NPOT, b, c);
 
     zeroArray(SIZE, c);
diff --git a/stream_compaction/efficient.cu b/stream_compaction/efficient.cu
index f1aa594..87addd3 100644
--- a/stream_compaction/efficient.cu
+++ b/stream_compaction/efficient.cu
@@ -4,78 +4,78 @@
 #include "efficient.h"
 
 namespace StreamCompaction {
-namespace Efficient {
+    namespace Efficient {
 
-// TODO: __global__
+        // TODO: __global__
 #define blockSize 128
 
-    int* dev_idata;
-    int* dev_odata;
-    int* dev_bools;
-    int* dev_indices;
-    int* dev_scandata;
-
-
-    __global__ void kernupsweep(int n, int d, int* dev_scandata)
-    {
-        int k = (blockIdx.x * blockDim.x) + threadIdx.x;
-        if (k >= n)
-            return;
-        
-        if (k % (1 << (d + 1)) == 0)
-            dev_scandata[k + (1 << (d + 1)) - 1] += dev_scandata[k + (1 << d) - 1];// +dev_scandata[k + (1 << (d + 1)) - 1];
-    }
+        //int* dev_idata;
+        //int* dev_odata;
+        //int* dev_bools;
+        //int* dev_indices;
+        //int* dev_scandata;
 
-    __global__ void kerndownsweep(int n, int d, int* dev_scandata)
-    {
-        int k = (blockIdx.x * blockDim.x) + threadIdx.x;
-        if (k >= n)
-            return;
 
-        if (k % (1<<(d+1)) == 0)
+        __global__ void kernupsweep(int n, int d, int* dev_scandata)
         {
-            int t = dev_scandata[k + (1<<d) - 1];
-            dev_scandata[k + (1<<d) - 1] = dev_scandata[k + (1<<(d+1)) - 1];
-            dev_scandata[k + (1<<(d+1)) - 1] = t + dev_scandata[k + (1<<(d+1)) - 1];
-        }
-    }
+            int k = (blockIdx.x * blockDim.x) + threadIdx.x;
+            if (k >= n)
+                return;
 
-    __global__ void kernscan(int n, int d, int* dev_scandata, int* dev_scandata2)
-    {
-        int k = (blockIdx.x * blockDim.x) + threadIdx.x;
-        if (k >= n)
-            return;
+            if (k % (1 << (d + 1)) == 0)
+                dev_scandata[k + (1 << (d + 1)) - 1] += dev_scandata[k + (1 << d) - 1];// +dev_scandata[k + (1 << (d + 1)) - 1];
+        }
 
-        if (k >= (1<<(d-1)))
-            dev_scandata[k] = dev_scandata2[k] + dev_scandata2[k - (1<<(d-1))];
-    }
+        __global__ void kerndownsweep(int n, int d, int* dev_scandata)
+        {
+            int k = (blockIdx.x * blockDim.x) + threadIdx.x;
+            if (k >= n)
+                return;
+
+            if (k % (1 << (d + 1)) == 0)
+            {
+                int t = dev_scandata[k + (1 << d) - 1];
+                dev_scandata[k + (1 << d) - 1] = dev_scandata[k + (1 << (d + 1)) - 1];
+                dev_scandata[k + (1 << (d + 1)) - 1] = t + dev_scandata[k + (1 << (d + 1)) - 1];
+            }
+        }
 
-    __global__ void kerninc2exc(int n, int* dev_scandata, int* dev_scandata2)
-    {
-        int k = (blockIdx.x * blockDim.x) + threadIdx.x;
-        if (k >= n)
-            return;
+        __global__ void kernscan(int n, int d, int* dev_scandata, int* dev_scandata2)
+        {
+            int k = (blockIdx.x * blockDim.x) + threadIdx.x;
+            if (k >= n)
+                return;
 
-        if (k == 0)
-            dev_scandata[0] = 0;
-        else
-            dev_scandata[k] = dev_scandata2[k - 1];
-    }
+            if (k >= (1 << (d - 1)))
+                dev_scandata[k] = dev_scandata2[k] + dev_scandata2[k - (1 << (d - 1))];
+        }
 
+        __global__ void kerninc2exc(int n, int* dev_scandata, int* dev_scandata2)
+        {
+            int k = (blockIdx.x * blockDim.x) + threadIdx.x;
+            if (k >= n)
+                return;
+
+            if (k == 0)
+                dev_scandata[0] = 0;
+            else
+                dev_scandata[k] = dev_scandata2[k - 1];
+        }
 
-    void setup(int n, const int* idata)
-    {
+        /*
+        void setup(int n, const int* idata)
+        {
         cudaMalloc((void**)&dev_scandata, n * sizeof(int));
         cudaMemcpy(dev_scandata, idata, sizeof(int) * n, cudaMemcpyHostToDevice);
-    }
+        }
 
-    void cleanup(void)
-    {
+        void cleanup(void)
+        {
         cudaFree(dev_scandata);
-    }
+        }
 
-    void setupcompact(int n, const int* idata)
-    {
+        void setupcompact(int n, const int* idata)
+        {
         cudaMalloc((void**)&dev_idata, n * sizeof(int));
         cudaMalloc((void**)&dev_odata, n * sizeof(int));
         cudaMalloc((void**)&dev_bools, n * sizeof(int));
@@ -85,156 +85,200 @@ namespace Efficient {
         cudaMemset(dev_bools, 0, sizeof(int) * n);
         cudaMemset(dev_indices, 0, sizeof(int) * n);
         cudaMemcpy(dev_scandata, idata, sizeof(int) * n, cudaMemcpyHostToDevice);
-    }
+        }
 
-    void cleanupcompact(void)
-    {
+        void cleanupcompact(void)
+        {
         cudaFree(dev_idata);
         cudaFree(dev_odata);
         cudaFree(dev_bools);
         cudaFree(dev_indices);
         cudaFree(dev_scandata);
-    }
-
-/**
- * Performs prefix-sum (aka scan) on idata, storing the result into odata.
- */
-void scan(int n, int *odata, const int *idata) {
-    // TODO
-    //printf("TODO\n");
-
-    dim3 blocks((n + blockSize - 1) / blockSize);
-
-    int nold = n;
-
-    if (n % 2 == 0)
-    {
-        n = 1 << ilog2ceil(n);
-        setup(n, idata);
-        for (int d = 0; d <= ilog2ceil(n)-1; d++)
-        {
-            kernupsweep << <blocks, blockSize >> >(n, d, dev_scandata);
         }
+        */
 
-        cudaMemset(dev_scandata+(n-1), 0, sizeof(int));
-        for (int d = ilog2ceil(n); d>=0; d--)
-        {
-            kerndownsweep << <blocks, blockSize >> >(n, d, dev_scandata);
-        }
-        cudaMemcpy(odata, dev_scandata, sizeof(int) * n, cudaMemcpyDeviceToHost);
-    }
-    else
-    {
-        n = 1 << ilog2ceil(n);
-        setup(n, idata);
-        
-        for (int d = 0; d <= ilog2ceil(n) - 1; d++)
-        {
-            kernupsweep << <blocks, blockSize >> >(n, d, dev_scandata);
-        }
+        /**
+        * Performs prefix-sum (aka scan) on idata, storing the result into odata.
+        */
+        void scan(int n, int *odata, const int *idata) {
+            // TODO
+            //printf("TODO\n");
+
+            dim3 blocks((n + blockSize - 1) / blockSize);
+
+            int nold = n;
+
+            if (n % 2 == 0)
+            {
+                n = 1 << ilog2ceil(n);
+                //setup(n, idata);
+                int* dev_scandata;
+                cudaMalloc((void**)&dev_scandata, n * sizeof(int));
+                cudaMemcpy(dev_scandata, idata, sizeof(int) * n, cudaMemcpyHostToDevice);
+
+
+                for (int d = 0; d <= ilog2ceil(n) - 1; d++)
+                {
+                    kernupsweep << <blocks, blockSize >> >(n, d, dev_scandata);
+                }
+
+                cudaMemset(dev_scandata + (n - 1), 0, sizeof(int));
+                for (int d = ilog2ceil(n); d >= 0; d--)
+                {
+                    kerndownsweep << <blocks, blockSize >> >(n, d, dev_scandata);
+                }
+                cudaMemcpy(odata, dev_scandata, sizeof(int) * n, cudaMemcpyDeviceToHost);
+
+                cudaFree(dev_scandata);
+            }
+            else
+            {
+                n = 1 << ilog2ceil(n);
+                //setup(n, idata);
+                int* dev_scandata;
+                cudaMalloc((void**)&dev_scandata, n * sizeof(int));
+                cudaMemcpy(dev_scandata, idata, sizeof(int) * n, cudaMemcpyHostToDevice);
+
+                for (int d = 0; d <= ilog2ceil(n) - 1; d++)
+                {
+                    kernupsweep << <blocks, blockSize >> >(n, d, dev_scandata);
+                }
+
+                cudaMemset(dev_scandata + (n - 1), 0, sizeof(int));
+                for (int d = ilog2ceil(n); d >= 0; d--)
+                {
+                    kerndownsweep << <blocks, blockSize >> >(n, d, dev_scandata);
+                }
+                cudaMemcpy(odata, dev_scandata, sizeof(int) * n, cudaMemcpyDeviceToHost);
+                cudaFree(dev_scandata);
+            }
+
+            //cleanup();
 
-        cudaMemset(dev_scandata+(n-1), 0, sizeof(int));
-        for (int d = ilog2ceil(n); d >= 0; d--)
-        {
-            kerndownsweep << <blocks, blockSize >> >(n, d, dev_scandata);
         }
-        cudaMemcpy(odata, dev_scandata, sizeof(int) * n, cudaMemcpyDeviceToHost);
-    }
-
-    cleanup();
-
-}
-
-/**
- * Performs stream compaction on idata, storing the result into odata.
- * All zeroes are discarded.
- *
- * @param n      The number of elements in idata.
- * @param odata  The array into which to store elements.
- * @param idata  The array of elements to compact.
- * @returns      The number of elements remaining after compaction.
- */
-int compact(int n, int *odata, const int *idata) {
-    // TODO
-
-    dim3 blocks((n + blockSize - 1) / blockSize);
-    int count = 0;
 
-    if (n % 2 == 0)
-    {
-        n = 1 << ilog2ceil(n);
-
-        setupcompact(n, idata);
-
-        int* bools = new int[n];
-        int* indices = new int[n];
-        memset(bools, 0, sizeof(int)*n);
-        memset(indices, 0, sizeof(int)*n);
-        cudaMemcpy(dev_idata, idata, sizeof(int)*n, cudaMemcpyHostToDevice);
-        cudaMemcpy(dev_odata, odata, sizeof(int)*n, cudaMemcpyHostToDevice);
-
-        StreamCompaction::Common::kernMapToBoolean << <blocks, blockSize >> > (n, dev_bools, dev_scandata);
-
-        scan(n, dev_indices, dev_bools);
-        cudaMemcpy(bools, dev_bools, sizeof(int) * n, cudaMemcpyDeviceToHost);
-        cudaMemcpy(indices, dev_indices, sizeof(int) * n, cudaMemcpyDeviceToHost);
-
-        StreamCompaction::Common::kernScatter << <blocks, blockSize >> > (n, dev_odata, dev_idata, dev_bools, dev_indices);
-
-        cudaMemcpy(odata, dev_odata, sizeof(int)*n, cudaMemcpyDeviceToHost);
-
-        /*
-        printf("\n%-10s", "bools: "); for (int i = 0; i < 20; i++)
-        printf("%d ", bools[i]);
-        printf("\n%-10s", "scans: "); for (int i = 0; i < 20; i++)
-        printf("%d ", indices[i]);
-        printf("\n%-10s", "idata: "); for (int i = 0; i < 20; i++)
-        printf("%d ", idata[i]);
-        printf("\n%-10s", "odata: "); for (int i = 0; i < 20; i++)
-        printf("%d ", odata[i]);
-        printf("\n");
+        /**
+        * Performs stream compaction on idata, storing the result into odata.
+        * All zeroes are discarded.
+        *
+        * @param n      The number of elements in idata.
+        * @param odata  The array into which to store elements.
+        * @param idata  The array of elements to compact.
+        * @returns      The number of elements remaining after compaction.
         */
+        int compact(int n, int *odata, const int *idata) {
+            // TODO
+
+            dim3 blocks((n + blockSize - 1) / blockSize);
+            int count = 0;
+
+            if (n % 2 == 0)
+            {
+                n = 1 << ilog2ceil(n);
+
+                //setupcompact(n, idata);
+                int* dev_idata;
+                int* dev_odata;
+                int* dev_bools;
+                int* dev_indices;
+                int* dev_scandata;
+                cudaMalloc((void**)&dev_idata, n * sizeof(int));
+                cudaMalloc((void**)&dev_odata, n * sizeof(int));
+                cudaMalloc((void**)&dev_bools, n * sizeof(int));
+                cudaMalloc((void**)&dev_indices, n * sizeof(int));
+                cudaMalloc((void**)&dev_scandata, n * sizeof(int));
+
+
+                int* bools = new int[n];
+                int* indices = new int[n];
+                memset(bools, 0, sizeof(int)*n);
+                memset(indices, 0, sizeof(int)*n);
+                cudaMemcpy(dev_idata, idata, sizeof(int)*n, cudaMemcpyHostToDevice);
+                cudaMemcpy(dev_odata, odata, sizeof(int)*n, cudaMemcpyHostToDevice);
+
+                StreamCompaction::Common::kernMapToBoolean << <blocks, blockSize >> > (n, dev_bools, dev_scandata);
+
+                scan(n, dev_indices, dev_bools);
+                cudaMemcpy(bools, dev_bools, sizeof(int) * n, cudaMemcpyDeviceToHost);
+                cudaMemcpy(indices, dev_indices, sizeof(int) * n, cudaMemcpyDeviceToHost);
+
+                StreamCompaction::Common::kernScatter << <blocks, blockSize >> > (n, dev_odata, dev_idata, dev_bools, dev_indices);
+
+                cudaMemcpy(odata, dev_odata, sizeof(int)*n, cudaMemcpyDeviceToHost);
+
+                /*
+                printf("\n%-10s", "bools: "); for (int i = 0; i < 20; i++)
+                printf("%d ", bools[i]);
+                printf("\n%-10s", "scans: "); for (int i = 0; i < 20; i++)
+                printf("%d ", indices[i]);
+                printf("\n%-10s", "idata: "); for (int i = 0; i < 20; i++)
+                printf("%d ", idata[i]);
+                printf("\n%-10s", "odata: "); for (int i = 0; i < 20; i++)
+                printf("%d ", odata[i]);
+                printf("\n");
+                */
+
+                count = indices[n - 1] + bools[n - 1];
+
+                //cleanupcompact();
+                cudaFree(dev_idata);
+                cudaFree(dev_odata);
+                cudaFree(dev_bools);
+                cudaFree(dev_indices);
+                cudaFree(dev_scandata);
+
+                delete[] bools;
+                delete[] indices;
+            }
+            else
+            {
+                n = 1 << ilog2ceil(n);
+
+                //setupcompact(n, idata);
+                int* dev_idata;
+                int* dev_odata;
+                int* dev_bools;
+                int* dev_indices;
+                int* dev_scandata;
+                cudaMalloc((void**)&dev_idata, n * sizeof(int));
+                cudaMalloc((void**)&dev_odata, n * sizeof(int));
+                cudaMalloc((void**)&dev_bools, n * sizeof(int));
+                cudaMalloc((void**)&dev_indices, n * sizeof(int));
+                cudaMalloc((void**)&dev_scandata, n * sizeof(int));
+
+
+                int* bools = new int[n];
+                int* indices = new int[n];
+                memset(bools, 0, sizeof(int)*n);
+                memset(indices, 0, sizeof(int)*n);
+                cudaMemcpy(dev_idata, idata, sizeof(int)*n, cudaMemcpyHostToDevice);
+                cudaMemcpy(dev_odata, odata, sizeof(int)*n, cudaMemcpyHostToDevice);
+
+                StreamCompaction::Common::kernMapToBoolean << <blocks, blockSize >> > (n, dev_bools, dev_scandata);
+
+                scan(n, dev_indices, dev_bools);
+                cudaMemcpy(bools, dev_bools, sizeof(int) * n, cudaMemcpyDeviceToHost);
+                cudaMemcpy(indices, dev_indices, sizeof(int) * n, cudaMemcpyDeviceToHost);
+
+                StreamCompaction::Common::kernScatter << <blocks, blockSize >> > (n, dev_odata, dev_idata, dev_bools, dev_indices);
+
+                cudaMemcpy(odata, dev_odata, sizeof(int)*n, cudaMemcpyDeviceToHost);
+
+                count = indices[n - 1] + bools[n - 1] - 1;
+
+                //cleanupcompact();
+                cudaFree(dev_idata);
+                cudaFree(dev_odata);
+                cudaFree(dev_bools);
+                cudaFree(dev_indices);
+                cudaFree(dev_scandata);
+
+                delete[] bools;
+                delete[] indices;
+            }
+
+            return count;
+        }
 
-        count = indices[n - 1] +bools[n - 1];
-
-        cleanupcompact();
-
-        delete[] bools;
-        delete[] indices;
-    }
-    else
-    {
-        n = 1 << ilog2ceil(n);
-
-        setupcompact(n, idata);
-
-        int* bools = new int[n];
-        int* indices = new int[n];
-        memset(bools, 0, sizeof(int)*n);
-        memset(indices, 0, sizeof(int)*n);
-        cudaMemcpy(dev_idata, idata, sizeof(int)*n, cudaMemcpyHostToDevice);
-        cudaMemcpy(dev_odata, odata, sizeof(int)*n, cudaMemcpyHostToDevice);
-
-        StreamCompaction::Common::kernMapToBoolean << <blocks, blockSize >> > (n, dev_bools, dev_scandata);
-
-        scan(n, dev_indices, dev_bools);
-        cudaMemcpy(bools, dev_bools, sizeof(int) * n, cudaMemcpyDeviceToHost);
-        cudaMemcpy(indices, dev_indices, sizeof(int) * n, cudaMemcpyDeviceToHost);
-
-        StreamCompaction::Common::kernScatter << <blocks, blockSize >> > (n, dev_odata, dev_idata, dev_bools, dev_indices);
-
-        cudaMemcpy(odata, dev_odata, sizeof(int)*n, cudaMemcpyDeviceToHost);
-
-        count = indices[n - 1] +bools[n - 1] - 1;
-
-        cleanupcompact();
-
-        delete[] bools;
-        delete[] indices;
     }
-
-    return count;
-}
-
-}
 }
diff --git a/stream_compaction/naive.cu b/stream_compaction/naive.cu
index 5e1b5f8..0781c41 100644
--- a/stream_compaction/naive.cu
+++ b/stream_compaction/naive.cu
@@ -61,7 +61,7 @@ namespace Naive {
             for (int d = 1; d <= ilog2ceil(n); d++)
             {
                 kernscan << <blocks, blockSize >> >(n, d, dev_scandata, dev_scandata2);
-                count++;   
+                count++;
             }
         }
         else

From a1499b891eda0c08f9438a9abef09d05ddfbd266 Mon Sep 17 00:00:00 2001
From: reddeupenn <redde@seas.upenn.edu>
Date: Tue, 27 Sep 2016 14:27:23 -0400
Subject: [PATCH 08/10] updated readme results

---
 README.md | 327 +++++++++++++++++++++++++++---------------------------
 1 file changed, 163 insertions(+), 164 deletions(-)

diff --git a/README.md b/README.md
index 0409d95..40103a5 100644
--- a/README.md
+++ b/README.md
@@ -85,9 +85,8 @@ powers of 2 which are part of the test.
     [   0  38  57  95 132 137 184 199 234 234 246 249 249 ... 6146 6190 ]
     passed
 ==== naive scan, power-of-two ====
-    [   0  38  57  95 132 137 184 199 234 234 246 249 249 ... 6203 6259 ]
-    a[129] = 3191, b[129] = 3221
-    FAIL VALUE
+    [   0  38  57  95 132 137 184 199 234 234 246 249 249 ... 6203 6229 ]
+    passed
 ==== naive scan, non-power-of-two ====
     [   0  38  57  95 132 137 184 199 234 234 246 249 249 ...   0   0 ]
     passed
@@ -142,25 +141,25 @@ powers of 2 which are part of the test.
 ==== cpu scan, power-of-two ====
 Time:  0 microSeconds
 ==== naive scan, power-of-two ====
-Time:  580 microSeconds
+Time:  549 microSeconds
 ==== work-efficient scan, power-of-two ====
-Time:  628 microSeconds
+Time:  650 microSeconds
 ==== thrust scan, power-of-two ====
 Time:  1 microSeconds
 ==== cpu radix sort ====
-Time:  34 microSeconds
+Time:  35 microSeconds
 ==== gpu radix sort cpu scan ====
-Time:  925 microSeconds
+Time:  1301 microSeconds
 ==== gpu radix sort naive scan ====
-Time:  1093 microSeconds
+Time:  1116 microSeconds
 ==== gpu radix sort thrust scan ====
-Time:  903 microSeconds
+Time:  959 microSeconds
 ==== cpu compact without scan, power-of-two ====
 Time:  0 microSeconds
 ==== cpu compact with scan ====
 Time:  1 microSeconds
 ==== work-efficient compact, power-of-two ====
-Time:  729 microSeconds
+Time:  823 microSeconds
 
 ** SIZE = 512 **
 ****************
@@ -168,25 +167,25 @@ Time:  729 microSeconds
 ==== cpu scan, power-of-two ====
 Time:  0 microSeconds
 ==== naive scan, power-of-two ====
-Time:  540 microSeconds
+Time:  663 microSeconds
 ==== work-efficient scan, power-of-two ====
-Time:  578 microSeconds
+Time:  624 microSeconds
 ==== thrust scan, power-of-two ====
 Time:  1 microSeconds
 ==== cpu radix sort ====
 Time:  66 microSeconds
 ==== gpu radix sort cpu scan ====
-Time:  1593 microSeconds
+Time:  1936 microSeconds
 ==== gpu radix sort naive scan ====
-Time:  2907 microSeconds
+Time:  2750 microSeconds
 ==== gpu radix sort thrust scan ====
-Time:  1690 microSeconds
+Time:  1743 microSeconds
 ==== cpu compact without scan, power-of-two ====
 Time:  0 microSeconds
 ==== cpu compact with scan ====
 Time:  3 microSeconds
 ==== work-efficient compact, power-of-two ====
-Time:  718 microSeconds
+Time:  732 microSeconds
 
 ** SIZE = 1024 **
 ****************
@@ -194,25 +193,25 @@ Time:  718 microSeconds
 ==== cpu scan, power-of-two ====
 Time:  1 microSeconds
 ==== naive scan, power-of-two ====
-Time:  550 microSeconds
+Time:  590 microSeconds
 ==== work-efficient scan, power-of-two ====
-Time:  527 microSeconds
+Time:  591 microSeconds
 ==== thrust scan, power-of-two ====
-Time:  8 microSeconds
+Time:  7 microSeconds
 ==== cpu radix sort ====
-Time:  137 microSeconds
+Time:  142 microSeconds
 ==== gpu radix sort cpu scan ====
-Time:  2025 microSeconds
+Time:  1857 microSeconds
 ==== gpu radix sort naive scan ====
-Time:  2654 microSeconds
+Time:  2996 microSeconds
 ==== gpu radix sort thrust scan ====
-Time:  1655 microSeconds
+Time:  1893 microSeconds
 ==== cpu compact without scan, power-of-two ====
 Time:  1 microSeconds
 ==== cpu compact with scan ====
 Time:  5 microSeconds
 ==== work-efficient compact, power-of-two ====
-Time:  775 microSeconds
+Time:  839 microSeconds
 
 ** SIZE = 2048 **
 ****************
@@ -220,25 +219,25 @@ Time:  775 microSeconds
 ==== cpu scan, power-of-two ====
 Time:  2 microSeconds
 ==== naive scan, power-of-two ====
-Time:  579 microSeconds
+Time:  522 microSeconds
 ==== work-efficient scan, power-of-two ====
-Time:  612 microSeconds
+Time:  563 microSeconds
 ==== thrust scan, power-of-two ====
-Time:  2 microSeconds
+Time:  6 microSeconds
 ==== cpu radix sort ====
-Time:  264 microSeconds
+Time:  270 microSeconds
 ==== gpu radix sort cpu scan ====
-Time:  2095 microSeconds
+Time:  1920 microSeconds
 ==== gpu radix sort naive scan ====
-Time:  2749 microSeconds
+Time:  2679 microSeconds
 ==== gpu radix sort thrust scan ====
-Time:  1875 microSeconds
+Time:  2020 microSeconds
 ==== cpu compact without scan, power-of-two ====
 Time:  3 microSeconds
 ==== cpu compact with scan ====
-Time:  10 microSeconds
+Time:  12 microSeconds
 ==== work-efficient compact, power-of-two ====
-Time:  734 microSeconds
+Time:  936 microSeconds
 
 ** SIZE = 4096 **
 ****************
@@ -246,25 +245,25 @@ Time:  734 microSeconds
 ==== cpu scan, power-of-two ====
 Time:  5 microSeconds
 ==== naive scan, power-of-two ====
-Time:  538 microSeconds
+Time:  616 microSeconds
 ==== work-efficient scan, power-of-two ====
 Time:  574 microSeconds
 ==== thrust scan, power-of-two ====
-Time:  6 microSeconds
+Time:  7 microSeconds
 ==== cpu radix sort ====
-Time:  533 microSeconds
+Time:  542 microSeconds
 ==== gpu radix sort cpu scan ====
-Time:  2041 microSeconds
+Time:  2560 microSeconds
 ==== gpu radix sort naive scan ====
-Time:  2819 microSeconds
+Time:  2989 microSeconds
 ==== gpu radix sort thrust scan ====
-Time:  1928 microSeconds
+Time:  1920 microSeconds
 ==== cpu compact without scan, power-of-two ====
 Time:  7 microSeconds
 ==== cpu compact with scan ====
-Time:  23 microSeconds
+Time:  25 microSeconds
 ==== work-efficient compact, power-of-two ====
-Time:  781 microSeconds
+Time:  756 microSeconds
 
 ** SIZE = 8192 **
 ****************
@@ -272,25 +271,25 @@ Time:  781 microSeconds
 ==== cpu scan, power-of-two ====
 Time:  11 microSeconds
 ==== naive scan, power-of-two ====
-Time:  555 microSeconds
+Time:  585 microSeconds
 ==== work-efficient scan, power-of-two ====
-Time:  631 microSeconds
+Time:  649 microSeconds
 ==== thrust scan, power-of-two ====
-Time:  11 microSeconds
+Time:  18 microSeconds
 ==== cpu radix sort ====
-Time:  1062 microSeconds
+Time:  1134 microSeconds
 ==== gpu radix sort cpu scan ====
-Time:  2257 microSeconds
+Time:  3575 microSeconds
 ==== gpu radix sort naive scan ====
-Time:  3114 microSeconds
+Time:  3091 microSeconds
 ==== gpu radix sort thrust scan ====
-Time:  2471 microSeconds
+Time:  2307 microSeconds
 ==== cpu compact without scan, power-of-two ====
 Time:  16 microSeconds
 ==== cpu compact with scan ====
-Time:  47 microSeconds
+Time:  50 microSeconds
 ==== work-efficient compact, power-of-two ====
-Time:  825 microSeconds
+Time:  1070 microSeconds
 
 ** SIZE = 16384 **
 ****************
@@ -298,77 +297,77 @@ Time:  825 microSeconds
 ==== cpu scan, power-of-two ====
 Time:  23 microSeconds
 ==== naive scan, power-of-two ====
-Time:  554 microSeconds
+Time:  577 microSeconds
 ==== work-efficient scan, power-of-two ====
-Time:  619 microSeconds
+Time:  605 microSeconds
 ==== thrust scan, power-of-two ====
-Time:  21 microSeconds
+Time:  20 microSeconds
 ==== cpu radix sort ====
-Time:  2181 microSeconds
+Time:  2146 microSeconds
 ==== gpu radix sort cpu scan ====
-Time:  3084 microSeconds
+Time:  3037 microSeconds
 ==== gpu radix sort naive scan ====
-Time:  3642 microSeconds
+Time:  3576 microSeconds
 ==== gpu radix sort thrust scan ====
-Time:  2595 microSeconds
+Time:  2925 microSeconds
 ==== cpu compact without scan, power-of-two ====
-Time:  34 microSeconds
+Time:  33 microSeconds
 ==== cpu compact with scan ====
-Time:  97 microSeconds
+Time:  100 microSeconds
 ==== work-efficient compact, power-of-two ====
-Time:  866 microSeconds
+Time:  844 microSeconds
 
 ** SIZE = 32768 **
 ****************
     [  38  19  38  37   5  47  15  35   0  12   3   0  42 ...   7   0 ]
 ==== cpu scan, power-of-two ====
-Time:  49 microSeconds
+Time:  47 microSeconds
 ==== naive scan, power-of-two ====
-Time:  612 microSeconds
+Time:  694 microSeconds
 ==== work-efficient scan, power-of-two ====
-Time:  895 microSeconds
+Time:  754 microSeconds
 ==== thrust scan, power-of-two ====
-Time:  44 microSeconds
+Time:  47 microSeconds
 ==== cpu radix sort ====
-Time:  4240 microSeconds
+Time:  4261 microSeconds
 ==== gpu radix sort cpu scan ====
-Time:  4343 microSeconds
+Time:  4030 microSeconds
 ==== gpu radix sort naive scan ====
-Time:  5006 microSeconds
+Time:  4914 microSeconds
 ==== gpu radix sort thrust scan ====
-Time:  3910 microSeconds
+Time:  3990 microSeconds
 ==== cpu compact without scan, power-of-two ====
 Time:  69 microSeconds
 ==== cpu compact with scan ====
-Time:  196 microSeconds
+Time:  208 microSeconds
 ==== work-efficient compact, power-of-two ====
-Time:  1046 microSeconds
+Time:  1207 microSeconds
 
 ** SIZE = 65536 **
 ****************
     [  38  19  38  37   5  47  15  35   0  12   3   0  42 ...  35   0 ]
 ==== cpu scan, power-of-two ====
-Time:  94 microSeconds
+Time:  93 microSeconds
 ==== naive scan, power-of-two ====
-Time:  704 microSeconds
+Time:  940 microSeconds
 ==== work-efficient scan, power-of-two ====
-Time:  917 microSeconds
+Time:  818 microSeconds
 ==== thrust scan, power-of-two ====
-Time:  90 microSeconds
+Time:  98 microSeconds
 ==== cpu radix sort ====
-Time:  8625 microSeconds
+Time:  8601 microSeconds
 ==== gpu radix sort cpu scan ====
-Time:  6799 microSeconds
+Time:  7525 microSeconds
 ==== gpu radix sort naive scan ====
-Time:  7905 microSeconds
+Time:  8306 microSeconds
 ==== gpu radix sort thrust scan ====
-Time:  6677 microSeconds
+Time:  6993 microSeconds
 ==== cpu compact without scan, power-of-two ====
-Time:  140 microSeconds
+Time:  141 microSeconds
 ==== cpu compact with scan ====
-Time:  397 microSeconds
+Time:  433 microSeconds
 ==== work-efficient compact, power-of-two ====
-Time:  1730 microSeconds
+Time:  1798 microSeconds
 
 ** SIZE = 131072 **
 ****************
@@ -376,207 +375,207 @@ Time:  1730 microSeconds
 ==== cpu scan, power-of-two ====
 Time:  188 microSeconds
 ==== naive scan, power-of-two ====
-Time:  885 microSeconds
+Time:  1005 microSeconds
 ==== work-efficient scan, power-of-two ====
-Time:  1259 microSeconds
+Time:  1091 microSeconds
 ==== thrust scan, power-of-two ====
-Time:  432 microSeconds
+Time:  416 microSeconds
 ==== cpu radix sort ====
-Time:  17407 microSeconds
+Time:  17129 microSeconds
 ==== gpu radix sort cpu scan ====
-Time:  12398 microSeconds
+Time:  13022 microSeconds
 ==== gpu radix sort naive scan ====
-Time:  14302 microSeconds
+Time:  13967 microSeconds
 ==== gpu radix sort thrust scan ====
-Time:  11650 microSeconds
+Time:  12753 microSeconds
 ==== cpu compact without scan, power-of-two ====
-Time:  280 microSeconds
+Time:  283 microSeconds
 ==== cpu compact with scan ====
-Time:  1034 microSeconds
+Time:  1063 microSeconds
 ==== work-efficient compact, power-of-two ====
-Time:  1204 microSeconds
+Time:  1239 microSeconds
 
 ** SIZE = 262144 **
 ****************
     [  38  19  38  37   5  47  15  35   0  12   3   0  42 ...  42   0 ]
 ==== cpu scan, power-of-two ====
-Time:  738 microSeconds
+Time:  721 microSeconds
 ==== naive scan, power-of-two ====
 Time:  15 microSeconds
 ==== work-efficient scan, power-of-two ====
-Time:  25 microSeconds
+Time:  23 microSeconds
 ==== thrust scan, power-of-two ====
-Time:  766 microSeconds
+Time:  803 microSeconds
 ==== cpu radix sort ====
-Time:  35010 microSeconds
+Time:  34138 microSeconds
 ==== gpu radix sort cpu scan ====
-Time:  2323 microSeconds
+Time:  2116 microSeconds
 ==== gpu radix sort naive scan ====
-Time:  2052 microSeconds
+Time:  1984 microSeconds
 ==== gpu radix sort thrust scan ====
-Time:  1959 microSeconds
+Time:  1934 microSeconds
 ==== cpu compact without scan, power-of-two ====
-Time:  590 microSeconds
+Time:  574 microSeconds
 ==== cpu compact with scan ====
-Time:  2427 microSeconds
+Time:  2539 microSeconds
 ==== work-efficient compact, power-of-two ====
-Time:  523 microSeconds
+Time:  526 microSeconds
 
 ** SIZE = 524288 **
 ****************
     [  38  19  38  37   5  47  15  35   0  12   3   0  42 ...  42   0 ]
 ==== cpu scan, power-of-two ====
-Time:  1415 microSeconds
+Time:  1419 microSeconds
 ==== naive scan, power-of-two ====
 Time:  16 microSeconds
 ==== work-efficient scan, power-of-two ====
 Time:  24 microSeconds
 ==== thrust scan, power-of-two ====
-Time:  1762 microSeconds
+Time:  1655 microSeconds
 ==== cpu radix sort ====
-Time:  69752 microSeconds
+Time:  68891 microSeconds
 ==== gpu radix sort cpu scan ====
-Time:  4077 microSeconds
+Time:  4096 microSeconds
 ==== gpu radix sort naive scan ====
-Time:  4009 microSeconds
+Time:  4054 microSeconds
 ==== gpu radix sort thrust scan ====
-Time:  4086 microSeconds
+Time:  4088 microSeconds
 ==== cpu compact without scan, power-of-two ====
-Time:  1143 microSeconds
+Time:  1170 microSeconds
 ==== cpu compact with scan ====
-Time:  4837 microSeconds
+Time:  5083 microSeconds
 ==== work-efficient compact, power-of-two ====
-Time:  1044 microSeconds
+Time:  1042 microSeconds
 
 ** SIZE = 1048576 **
 ****************
     [  38  19  38  37   5  47  15  35   0  12   3   0  42 ...   6   0 ]
 ==== cpu scan, power-of-two ====
-Time:  2821 microSeconds
+Time:  2930 microSeconds
 ==== naive scan, power-of-two ====
-Time:  17 microSeconds
+Time:  19 microSeconds
 ==== work-efficient scan, power-of-two ====
-Time:  26 microSeconds
+Time:  29 microSeconds
 ==== thrust scan, power-of-two ====
-Time:  3631 microSeconds
+Time:  3526 microSeconds
 ==== cpu radix sort ====
-Time:  139054 microSeconds
+Time:  139318 microSeconds
 ==== gpu radix sort cpu scan ====
-Time:  8441 microSeconds
+Time:  8460 microSeconds
 ==== gpu radix sort naive scan ====
-Time:  8830 microSeconds
+Time:  8464 microSeconds
 ==== gpu radix sort thrust scan ====
-Time:  9037 microSeconds
+Time:  8501 microSeconds
 ==== cpu compact without scan, power-of-two ====
-Time:  2301 microSeconds
+Time:  2303 microSeconds
 ==== cpu compact with scan ====
-Time:  8768 microSeconds
+Time:  10349 microSeconds
 ==== work-efficient compact, power-of-two ====
-Time:  2365 microSeconds
+Time:  2256 microSeconds
 
 ** SIZE = 2097152 **
 ****************
     [  38  19  38  37   5  47  15  35   0  12   3   0  42 ...   2   0 ]
 ==== cpu scan, power-of-two ====
-Time:  4628 microSeconds
+Time:  5807 microSeconds
 ==== naive scan, power-of-two ====
-Time:  20 microSeconds
+Time:  21 microSeconds
 ==== work-efficient scan, power-of-two ====
-Time:  31 microSeconds
+Time:  26 microSeconds
 ==== thrust scan, power-of-two ====
-Time:  7244 microSeconds
+Time:  7438 microSeconds
 ==== cpu radix sort ====
-Time:  277141 microSeconds
+Time:  280777 microSeconds
 ==== gpu radix sort cpu scan ====
-Time:  17729 microSeconds
+Time:  17523 microSeconds
 ==== gpu radix sort naive scan ====
-Time:  17591 microSeconds
+Time:  17809 microSeconds
 ==== gpu radix sort thrust scan ====
-Time:  17553 microSeconds
+Time:  17854 microSeconds
 ==== cpu compact without scan, power-of-two ====
-Time:  4684 microSeconds
+Time:  4527 microSeconds
 ==== cpu compact with scan ====
-Time:  17774 microSeconds
+Time:  20800 microSeconds
 ==== work-efficient compact, power-of-two ====
-Time:  4784 microSeconds
+Time:  4844 microSeconds
 
 ** SIZE = 4194304 **
 ****************
     [  38  19  38  37   5  47  15  35   0  12   3   0  42 ...  26   0 ]
 ==== cpu scan, power-of-two ====
-Time:  6579 microSeconds
+Time:  11709 microSeconds
 ==== naive scan, power-of-two ====
-Time:  18 microSeconds
+Time:  19 microSeconds
 ==== work-efficient scan, power-of-two ====
-Time:  30 microSeconds
+Time:  37 microSeconds
 ==== thrust scan, power-of-two ====
-Time:  15121 microSeconds
+Time:  17569 microSeconds
 ==== cpu radix sort ====
-Time:  555419 microSeconds
+Time:  563471 microSeconds
 ==== gpu radix sort cpu scan ====
-Time:  35741 microSeconds
+Time:  35961 microSeconds
 ==== gpu radix sort naive scan ====
-Time:  35411 microSeconds
+Time:  35283 microSeconds
 ==== gpu radix sort thrust scan ====
-Time:  35747 microSeconds
+Time:  35645 microSeconds
 ==== cpu compact without scan, power-of-two ====
-Time:  9555 microSeconds
+Time:  9153 microSeconds
 ==== cpu compact with scan ====
-Time:  35407 microSeconds
+Time:  41391 microSeconds
 ==== work-efficient compact, power-of-two ====
-Time:  9463 microSeconds
+Time:  9657 microSeconds
 
 ** SIZE = 8388608 **
 ****************
     [  38  19  38  37   5  47  15  35   0  12   3   0  42 ...  10   0 ]
 ==== cpu scan, power-of-two ====
-Time:  13667 microSeconds
+Time:  23157 microSeconds
 ==== naive scan, power-of-two ====
-Time:  18 microSeconds
+Time:  19 microSeconds
 ==== work-efficient scan, power-of-two ====
-Time:  29 microSeconds
+Time:  33 microSeconds
 ==== thrust scan, power-of-two ====
-Time:  31478 microSeconds
+Time:  31014 microSeconds
 ==== cpu radix sort ====
-Time:  1111762 microSeconds
+Time:  1125423 microSeconds
 ==== gpu radix sort cpu scan ====
-Time:  71012 microSeconds
+Time:  71306 microSeconds
 ==== gpu radix sort naive scan ====
-Time:  70982 microSeconds
+Time:  72187 microSeconds
 ==== gpu radix sort thrust scan ====
-Time:  71596 microSeconds
+Time:  71193 microSeconds
 ==== cpu compact without scan, power-of-two ====
-Time:  18627 microSeconds
+Time:  18687 microSeconds
 ==== cpu compact with scan ====
-Time:  69722 microSeconds
+Time:  83991 microSeconds
 ==== work-efficient compact, power-of-two ====
-Time:  18604 microSeconds
+Time:  19679 microSeconds
 
 ** SIZE = 16777216 **
 ****************
     [  38  19  38  37   5  47  15  35   0  12   3   0  42 ...  42   0 ]
 ==== cpu scan, power-of-two ====
-Time:  25969 microSeconds
+Time:  45688 microSeconds
 ==== naive scan, power-of-two ====
 Time:  20 microSeconds
 ==== work-efficient scan, power-of-two ====
-Time:  31 microSeconds
+Time:  32 microSeconds
 ==== thrust scan, power-of-two ====
-Time:  61397 microSeconds
+Time:  63120 microSeconds
 ==== cpu radix sort ====
-Time:  2213557 microSeconds
+Time:  2234690 microSeconds
 ==== gpu radix sort cpu scan ====
-Time:  142111 microSeconds
+Time:  144521 microSeconds
 ==== gpu radix sort naive scan ====
-Time:  142175 microSeconds
+Time:  141110 microSeconds
 ==== gpu radix sort thrust scan ====
-Time:  142549 microSeconds
+Time:  140133 microSeconds
 ==== cpu compact without scan, power-of-two ====
-Time:  38071 microSeconds
+Time:  37891 microSeconds
 ==== cpu compact with scan ====
-Time:  140700 microSeconds
+Time:  147074 microSeconds
 ==== work-efficient compact, power-of-two ====
-Time:  38334 microSeconds
+Time:  38434 microSeconds
 Press any key to continue . . .
 ```
 

From 91acf62aacb89c8d3fc9618e876a3ad25fb55501 Mon Sep 17 00:00:00 2001
From: reddeupenn <redde@seas.upenn.edu>
Date: Tue, 27 Sep 2016 22:41:21 -0400
Subject: [PATCH 09/10] fixed crash,added GPU functions benchmark readme update

---
 README.md                      | 440 ++++++++++++++++++---------------
 src/main.cpp                   |  81 ++++--
 stream_compaction/efficient.cu |  83 ++++++-
 stream_compaction/efficient.h  |   2 +
 stream_compaction/naive.cu     |  52 +++-
 stream_compaction/naive.h      |   1 +
 stream_compaction/thrust.cu    |  27 +-
 stream_compaction/thrust.h     |   1 +
 8 files changed, 456 insertions(+), 231 deletions(-)

diff --git a/README.md b/README.md
index 40103a5..912d688 100644
--- a/README.md
+++ b/README.md
@@ -74,7 +74,6 @@ powers of 2 which are part of the test.
 
 
 ```
-
 ****************
 ** SCAN TESTS **
 ****************
@@ -125,11 +124,52 @@ powers of 2 which are part of the test.
     [   2   3   2   1   3   1   1   1   2   1   2   1   1 ...   2   1 ]
     passed
 ==== work-efficient compact, power-of-two ====
-    expected 190 elements, got 0
-    FAIL COUNT
+    passed
 ==== work-efficient compact, non-power-of-two ====
-    expected 189 elements, got -1
-    FAIL COUNT
+    passed
+
+
+==== BENCHMARK on 256 items ====
+naive scan time: 0.054762
+upsweep time: 0.053930
+downsweep time: 0.066717
+thurst time: 0.001216
+
+==== BENCHMARK on 4096 items ====
+naive scan time: 0.055395
+upsweep time: 0.056800
+downsweep time: 0.063933
+thurst time: 0.001216
+
+==== BENCHMARK on 65536 items ====
+naive scan time: 0.055034
+upsweep time: 0.054170
+downsweep time: 0.063862
+thurst time: 0.001190
+
+==== BENCHMARK on 1048576 items ====
+naive scan time: 0.055942
+upsweep time: 0.057514
+downsweep time: 0.066336
+thurst time: 0.001194
+
+==== BENCHMARK on 16777216 items ====
+naive scan time: 0.057802
+upsweep time: 0.056128
+downsweep time: 0.066230
+thurst time: 0.001184
+
+==== BENCHMARK on 268435456 items ====
+naive scan time: 0.056563
+upsweep time: 0.055456
+downsweep time: 0.066339
+thurst time: 0.001190
+
+-------- GPU calls results --------
+naive:  0.054762 0.055395 0.055034 0.055942 0.057802 0.056563
+upsweep:  0.053930 0.056800 0.054170 0.057514 0.056128 0.055456
+downsweep:  0.066717 0.063933 0.063862 0.066336 0.066230 0.066339
+thrust:  0.001216 0.001216 0.001190 0.001194 0.001184 0.001190
 
 ****************
 ** BENCHMARKS **
@@ -141,451 +181,450 @@ powers of 2 which are part of the test.
 ==== cpu scan, power-of-two ====
 Time:  0 microSeconds
 ==== naive scan, power-of-two ====
-Time:  549 microSeconds
+Time:  1204 microSeconds
 ==== work-efficient scan, power-of-two ====
-Time:  650 microSeconds
+Time:  747 microSeconds
 ==== thrust scan, power-of-two ====
-Time:  1 microSeconds
+Time:  58 microSeconds
 ==== cpu radix sort ====
-Time:  35 microSeconds
+Time:  89 microSeconds
 ==== gpu radix sort cpu scan ====
-Time:  1301 microSeconds
+Time:  1209 microSeconds
 ==== gpu radix sort naive scan ====
-Time:  1116 microSeconds
+Time:  1356 microSeconds
 ==== gpu radix sort thrust scan ====
-Time:  959 microSeconds
+Time:  1080 microSeconds
 ==== cpu compact without scan, power-of-two ====
 Time:  0 microSeconds
 ==== cpu compact with scan ====
-Time:  1 microSeconds
+Time:  2 microSeconds
 ==== work-efficient compact, power-of-two ====
-Time:  823 microSeconds
+Time:  1020 microSeconds
 
 ** SIZE = 512 **
 ****************
     [  38  19  38  37   5  47  15  35   0  12   3   0  42 ...  11   0 ]
 ==== cpu scan, power-of-two ====
-Time:  0 microSeconds
+Time:  1 microSeconds
 ==== naive scan, power-of-two ====
-Time:  663 microSeconds
+Time:  563 microSeconds
 ==== work-efficient scan, power-of-two ====
-Time:  624 microSeconds
+Time:  657 microSeconds
 ==== thrust scan, power-of-two ====
-Time:  1 microSeconds
+Time:  91 microSeconds
 ==== cpu radix sort ====
-Time:  66 microSeconds
+Time:  142 microSeconds
 ==== gpu radix sort cpu scan ====
-Time:  1936 microSeconds
+Time:  2253 microSeconds
 ==== gpu radix sort naive scan ====
-Time:  2750 microSeconds
+Time:  2997 microSeconds
 ==== gpu radix sort thrust scan ====
-Time:  1743 microSeconds
+Time:  2042 microSeconds
 ==== cpu compact without scan, power-of-two ====
-Time:  0 microSeconds
+Time:  1 microSeconds
 ==== cpu compact with scan ====
-Time:  3 microSeconds
+Time:  7 microSeconds
 ==== work-efficient compact, power-of-two ====
-Time:  732 microSeconds
+Time:  862 microSeconds
 
 ** SIZE = 1024 **
 ****************
     [  38  19  38  37   5  47  15  35   0  12   3   0  42 ...  40   0 ]
 ==== cpu scan, power-of-two ====
-Time:  1 microSeconds
+Time:  2 microSeconds
 ==== naive scan, power-of-two ====
-Time:  590 microSeconds
+Time:  595 microSeconds
 ==== work-efficient scan, power-of-two ====
-Time:  591 microSeconds
+Time:  674 microSeconds
 ==== thrust scan, power-of-two ====
-Time:  7 microSeconds
+Time:  178 microSeconds
 ==== cpu radix sort ====
-Time:  142 microSeconds
+Time:  282 microSeconds
 ==== gpu radix sort cpu scan ====
-Time:  1857 microSeconds
+Time:  2152 microSeconds
 ==== gpu radix sort naive scan ====
-Time:  2996 microSeconds
+Time:  3216 microSeconds
 ==== gpu radix sort thrust scan ====
-Time:  1893 microSeconds
+Time:  2087 microSeconds
 ==== cpu compact without scan, power-of-two ====
-Time:  1 microSeconds
+Time:  3 microSeconds
 ==== cpu compact with scan ====
-Time:  5 microSeconds
+Time:  9 microSeconds
 ==== work-efficient compact, power-of-two ====
-Time:  839 microSeconds
+Time:  829 microSeconds
 
 ** SIZE = 2048 **
 ****************
     [  38  19  38  37   5  47  15  35   0  12   3   0  42 ...  32   0 ]
 ==== cpu scan, power-of-two ====
-Time:  2 microSeconds
+Time:  4 microSeconds
 ==== naive scan, power-of-two ====
-Time:  522 microSeconds
+Time:  546 microSeconds
 ==== work-efficient scan, power-of-two ====
-Time:  563 microSeconds
+Time:  766 microSeconds
 ==== thrust scan, power-of-two ====
-Time:  6 microSeconds
+Time:  371 microSeconds
 ==== cpu radix sort ====
-Time:  270 microSeconds
+Time:  568 microSeconds
 ==== gpu radix sort cpu scan ====
-Time:  1920 microSeconds
+Time:  2536 microSeconds
 ==== gpu radix sort naive scan ====
-Time:  2679 microSeconds
+Time:  3176 microSeconds
 ==== gpu radix sort thrust scan ====
-Time:  2020 microSeconds
+Time:  2185 microSeconds
 ==== cpu compact without scan, power-of-two ====
-Time:  3 microSeconds
+Time:  6 microSeconds
 ==== cpu compact with scan ====
-Time:  12 microSeconds
+Time:  19 microSeconds
 ==== work-efficient compact, power-of-two ====
-Time:  936 microSeconds
+Time:  853 microSeconds
 
 ** SIZE = 4096 **
 ****************
     [  38  19  38  37   5  47  15  35   0  12   3   0  42 ...  24   0 ]
 ==== cpu scan, power-of-two ====
-Time:  5 microSeconds
+Time:  8 microSeconds
 ==== naive scan, power-of-two ====
-Time:  616 microSeconds
+Time:  615 microSeconds
 ==== work-efficient scan, power-of-two ====
-Time:  574 microSeconds
+Time:  786 microSeconds
 ==== thrust scan, power-of-two ====
-Time:  7 microSeconds
+Time:  704 microSeconds
 ==== cpu radix sort ====
-Time:  542 microSeconds
+Time:  1135 microSeconds
 ==== gpu radix sort cpu scan ====
-Time:  2560 microSeconds
+Time:  2460 microSeconds
 ==== gpu radix sort naive scan ====
-Time:  2989 microSeconds
+Time:  3368 microSeconds
 ==== gpu radix sort thrust scan ====
-Time:  1920 microSeconds
+Time:  2429 microSeconds
 ==== cpu compact without scan, power-of-two ====
-Time:  7 microSeconds
+Time:  14 microSeconds
 ==== cpu compact with scan ====
-Time:  25 microSeconds
+Time:  40 microSeconds
 ==== work-efficient compact, power-of-two ====
-Time:  756 microSeconds
+Time:  983 microSeconds
 
 ** SIZE = 8192 **
 ****************
     [  38  19  38  37   5  47  15  35   0  12   3   0  42 ...   4   0 ]
 ==== cpu scan, power-of-two ====
-Time:  11 microSeconds
+Time:  18 microSeconds
 ==== naive scan, power-of-two ====
-Time:  585 microSeconds
+Time:  629 microSeconds
 ==== work-efficient scan, power-of-two ====
-Time:  649 microSeconds
+Time:  784 microSeconds
 ==== thrust scan, power-of-two ====
-Time:  18 microSeconds
+Time:  1444 microSeconds
 ==== cpu radix sort ====
-Time:  1134 microSeconds
+Time:  2306 microSeconds
 ==== gpu radix sort cpu scan ====
-Time:  3575 microSeconds
+Time:  3193 microSeconds
 ==== gpu radix sort naive scan ====
-Time:  3091 microSeconds
+Time:  3786 microSeconds
 ==== gpu radix sort thrust scan ====
-Time:  2307 microSeconds
+Time:  2776 microSeconds
 ==== cpu compact without scan, power-of-two ====
-Time:  16 microSeconds
+Time:  30 microSeconds
 ==== cpu compact with scan ====
-Time:  50 microSeconds
+Time:  81 microSeconds
 ==== work-efficient compact, power-of-two ====
-Time:  1070 microSeconds
+Time:  1021 microSeconds
 
 ** SIZE = 16384 **
 ****************
     [  38  19  38  37   5  47  15  35   0  12   3   0  42 ...  26   0 ]
 ==== cpu scan, power-of-two ====
-Time:  23 microSeconds
+Time:  32 microSeconds
 ==== naive scan, power-of-two ====
-Time:  577 microSeconds
+Time:  653 microSeconds
 ==== work-efficient scan, power-of-two ====
-Time:  605 microSeconds
+Time:  1079 microSeconds
 ==== thrust scan, power-of-two ====
-Time:  20 microSeconds
+Time:  2876 microSeconds
 ==== cpu radix sort ====
-Time:  2146 microSeconds
+Time:  4595 microSeconds
 ==== gpu radix sort cpu scan ====
-Time:  3037 microSeconds
+Time:  4210 microSeconds
 ==== gpu radix sort naive scan ====
-Time:  3576 microSeconds
+Time:  4916 microSeconds
 ==== gpu radix sort thrust scan ====
-Time:  2925 microSeconds
+Time:  3774 microSeconds
 ==== cpu compact without scan, power-of-two ====
-Time:  33 microSeconds
+Time:  63 microSeconds
 ==== cpu compact with scan ====
-Time:  100 microSeconds
+Time:  165 microSeconds
 ==== work-efficient compact, power-of-two ====
-Time:  844 microSeconds
+Time:  1257 microSeconds
 
 ** SIZE = 32768 **
 ****************
     [  38  19  38  37   5  47  15  35   0  12   3   0  42 ...   7   0 ]
 ==== cpu scan, power-of-two ====
-Time:  47 microSeconds
+Time:  65 microSeconds
 ==== naive scan, power-of-two ====
-Time:  694 microSeconds
+Time:  808 microSeconds
 ==== work-efficient scan, power-of-two ====
-Time:  754 microSeconds
+Time:  1274 microSeconds
 ==== thrust scan, power-of-two ====
-Time:  47 microSeconds
+Time:  5643 microSeconds
 ==== cpu radix sort ====
-Time:  4261 microSeconds
+Time:  8982 microSeconds
 ==== gpu radix sort cpu scan ====
-Time:  4030 microSeconds
+Time:  6846 microSeconds
 ==== gpu radix sort naive scan ====
-Time:  4914 microSeconds
+Time:  7885 microSeconds
 ==== gpu radix sort thrust scan ====
-Time:  3990 microSeconds
+Time:  6811 microSeconds
 ==== cpu compact without scan, power-of-two ====
-Time:  69 microSeconds
+Time:  128 microSeconds
 ==== cpu compact with scan ====
-Time:  208 microSeconds
+Time:  335 microSeconds
 ==== work-efficient compact, power-of-two ====
-Time:  1207 microSeconds
+Time:  1705 microSeconds
 
 ** SIZE = 65536 **
 ****************
     [  38  19  38  37   5  47  15  35   0  12   3   0  42 ...  35   0 ]
 ==== cpu scan, power-of-two ====
-Time:  93 microSeconds
+Time:  131 microSeconds
 ==== naive scan, power-of-two ====
-Time:  940 microSeconds
+Time:  1140 microSeconds
 ==== work-efficient scan, power-of-two ====
-Time:  818 microSeconds
+Time:  1760 microSeconds
 ==== thrust scan, power-of-two ====
-Time:  98 microSeconds
+Time:  11324 microSeconds
 ==== cpu radix sort ====
-Time:  8601 microSeconds
+Time:  18094 microSeconds
 ==== gpu radix sort cpu scan ====
-Time:  7525 microSeconds
+Time:  11267 microSeconds
 ==== gpu radix sort naive scan ====
-Time:  8306 microSeconds
+Time:  11923 microSeconds
 ==== gpu radix sort thrust scan ====
-Time:  6993 microSeconds
+Time:  10084 microSeconds
 ==== cpu compact without scan, power-of-two ====
-Time:  141 microSeconds
+Time:  260 microSeconds
 ==== cpu compact with scan ====
-Time:  433 microSeconds
+Time:  672 microSeconds
 ==== work-efficient compact, power-of-two ====
-Time:  1798 microSeconds
+Time:  2814 microSeconds
 
 ** SIZE = 131072 **
 ****************
     [  38  19  38  37   5  47  15  35   0  12   3   0  42 ...  10   0 ]
 ==== cpu scan, power-of-two ====
-Time:  188 microSeconds
+Time:  263 microSeconds
 ==== naive scan, power-of-two ====
-Time:  1005 microSeconds
+Time:  1650 microSeconds
 ==== work-efficient scan, power-of-two ====
-Time:  1091 microSeconds
+Time:  3079 microSeconds
 ==== thrust scan, power-of-two ====
-Time:  416 microSeconds
+Time:  22802 microSeconds
 ==== cpu radix sort ====
-Time:  17129 microSeconds
+Time:  36258 microSeconds
 ==== gpu radix sort cpu scan ====
-Time:  13022 microSeconds
+Time:  19548 microSeconds
 ==== gpu radix sort naive scan ====
-Time:  13967 microSeconds
+Time:  19723 microSeconds
 ==== gpu radix sort thrust scan ====
-Time:  12753 microSeconds
+Time:  18615 microSeconds
 ==== cpu compact without scan, power-of-two ====
-Time:  283 microSeconds
+Time:  517 microSeconds
 ==== cpu compact with scan ====
-Time:  1063 microSeconds
+Time:  1571 microSeconds
 ==== work-efficient compact, power-of-two ====
-Time:  1239 microSeconds
+Time:  1465 microSeconds
 
 ** SIZE = 262144 **
 ****************
     [  38  19  38  37   5  47  15  35   0  12   3   0  42 ...  42   0 ]
 ==== cpu scan, power-of-two ====
-Time:  721 microSeconds
+Time:  569 microSeconds
 ==== naive scan, power-of-two ====
-Time:  15 microSeconds
+Time:  17 microSeconds
 ==== work-efficient scan, power-of-two ====
-Time:  23 microSeconds
+Time:  25 microSeconds
 ==== thrust scan, power-of-two ====
-Time:  803 microSeconds
+Time:  45705 microSeconds
 ==== cpu radix sort ====
-Time:  34138 microSeconds
+Time:  73556 microSeconds
 ==== gpu radix sort cpu scan ====
-Time:  2116 microSeconds
+Time:  5243 microSeconds
 ==== gpu radix sort naive scan ====
-Time:  1984 microSeconds
+Time:  5223 microSeconds
 ==== gpu radix sort thrust scan ====
-Time:  1934 microSeconds
+Time:  5214 microSeconds
 ==== cpu compact without scan, power-of-two ====
-Time:  574 microSeconds
+Time:  1056 microSeconds
 ==== cpu compact with scan ====
-Time:  2539 microSeconds
+Time:  3225 microSeconds
 ==== work-efficient compact, power-of-two ====
-Time:  526 microSeconds
+Time:  612 microSeconds
 
 ** SIZE = 524288 **
 ****************
     [  38  19  38  37   5  47  15  35   0  12   3   0  42 ...  42   0 ]
 ==== cpu scan, power-of-two ====
-Time:  1419 microSeconds
+Time:  1139 microSeconds
 ==== naive scan, power-of-two ====
-Time:  16 microSeconds
+Time:  18 microSeconds
 ==== work-efficient scan, power-of-two ====
-Time:  24 microSeconds
+Time:  26 microSeconds
 ==== thrust scan, power-of-two ====
-Time:  1655 microSeconds
+Time:  92465 microSeconds
 ==== cpu radix sort ====
-Time:  68891 microSeconds
+Time:  144470 microSeconds
 ==== gpu radix sort cpu scan ====
-Time:  4096 microSeconds
+Time:  10536 microSeconds
 ==== gpu radix sort naive scan ====
-Time:  4054 microSeconds
+Time:  10634 microSeconds
 ==== gpu radix sort thrust scan ====
-Time:  4088 microSeconds
+Time:  10634 microSeconds
 ==== cpu compact without scan, power-of-two ====
-Time:  1170 microSeconds
+Time:  2098 microSeconds
 ==== cpu compact with scan ====
-Time:  5083 microSeconds
+Time:  6596 microSeconds
 ==== work-efficient compact, power-of-two ====
-Time:  1042 microSeconds
+Time:  1197 microSeconds
 
 ** SIZE = 1048576 **
 ****************
     [  38  19  38  37   5  47  15  35   0  12   3   0  42 ...   6   0 ]
 ==== cpu scan, power-of-two ====
-Time:  2930 microSeconds
+Time:  2288 microSeconds
 ==== naive scan, power-of-two ====
 Time:  19 microSeconds
 ==== work-efficient scan, power-of-two ====
-Time:  29 microSeconds
+Time:  27 microSeconds
 ==== thrust scan, power-of-two ====
-Time:  3526 microSeconds
+Time:  185075 microSeconds
 ==== cpu radix sort ====
-Time:  139318 microSeconds
+Time:  289369 microSeconds
 ==== gpu radix sort cpu scan ====
-Time:  8460 microSeconds
+Time:  22012 microSeconds
 ==== gpu radix sort naive scan ====
-Time:  8464 microSeconds
+Time:  21773 microSeconds
 ==== gpu radix sort thrust scan ====
-Time:  8501 microSeconds
+Time:  21896 microSeconds
 ==== cpu compact without scan, power-of-two ====
-Time:  2303 microSeconds
+Time:  4228 microSeconds
 ==== cpu compact with scan ====
-Time:  10349 microSeconds
+Time:  13323 microSeconds
 ==== work-efficient compact, power-of-two ====
-Time:  2256 microSeconds
+Time:  2729 microSeconds
 
 ** SIZE = 2097152 **
 ****************
     [  38  19  38  37   5  47  15  35   0  12   3   0  42 ...   2   0 ]
 ==== cpu scan, power-of-two ====
-Time:  5807 microSeconds
+Time:  4616 microSeconds
 ==== naive scan, power-of-two ====
-Time:  21 microSeconds
+Time:  20 microSeconds
 ==== work-efficient scan, power-of-two ====
-Time:  26 microSeconds
+Time:  29 microSeconds
 ==== thrust scan, power-of-two ====
-Time:  7438 microSeconds
+Time:  369500 microSeconds
 ==== cpu radix sort ====
-Time:  280777 microSeconds
+Time:  587131 microSeconds
 ==== gpu radix sort cpu scan ====
-Time:  17523 microSeconds
+Time:  44624 microSeconds
 ==== gpu radix sort naive scan ====
-Time:  17809 microSeconds
+Time:  44796 microSeconds
 ==== gpu radix sort thrust scan ====
-Time:  17854 microSeconds
+Time:  44965 microSeconds
 ==== cpu compact without scan, power-of-two ====
-Time:  4527 microSeconds
+Time:  8423 microSeconds
 ==== cpu compact with scan ====
-Time:  20800 microSeconds
+Time:  27154 microSeconds
 ==== work-efficient compact, power-of-two ====
-Time:  4844 microSeconds
+Time:  6133 microSeconds
 
 ** SIZE = 4194304 **
 ****************
     [  38  19  38  37   5  47  15  35   0  12   3   0  42 ...  26   0 ]
 ==== cpu scan, power-of-two ====
-Time:  11709 microSeconds
+Time:  9468 microSeconds
 ==== naive scan, power-of-two ====
-Time:  19 microSeconds
+Time:  20 microSeconds
 ==== work-efficient scan, power-of-two ====
-Time:  37 microSeconds
+Time:  33 microSeconds
 ==== thrust scan, power-of-two ====
-Time:  17569 microSeconds
+Time:  736214 microSeconds
 ==== cpu radix sort ====
-Time:  563471 microSeconds
+Time:  1182810 microSeconds
 ==== gpu radix sort cpu scan ====
-Time:  35961 microSeconds
+Time:  90747 microSeconds
 ==== gpu radix sort naive scan ====
-Time:  35283 microSeconds
+Time:  89688 microSeconds
 ==== gpu radix sort thrust scan ====
-Time:  35645 microSeconds
+Time:  90998 microSeconds
 ==== cpu compact without scan, power-of-two ====
-Time:  9153 microSeconds
+Time:  17085 microSeconds
 ==== cpu compact with scan ====
-Time:  41391 microSeconds
+Time:  54581 microSeconds
 ==== work-efficient compact, power-of-two ====
-Time:  9657 microSeconds
+Time:  12071 microSeconds
 
 ** SIZE = 8388608 **
 ****************
     [  38  19  38  37   5  47  15  35   0  12   3   0  42 ...  10   0 ]
 ==== cpu scan, power-of-two ====
-Time:  23157 microSeconds
+Time:  18279 microSeconds
 ==== naive scan, power-of-two ====
-Time:  19 microSeconds
+Time:  24 microSeconds
 ==== work-efficient scan, power-of-two ====
-Time:  33 microSeconds
+Time:  35 microSeconds
 ==== thrust scan, power-of-two ====
-Time:  31014 microSeconds
+Time:  1473584 microSeconds
 ==== cpu radix sort ====
-Time:  1125423 microSeconds
+Time:  2342165 microSeconds
 ==== gpu radix sort cpu scan ====
-Time:  71306 microSeconds
+Time:  181044 microSeconds
 ==== gpu radix sort naive scan ====
-Time:  72187 microSeconds
+Time:  182013 microSeconds
 ==== gpu radix sort thrust scan ====
-Time:  71193 microSeconds
+Time:  181109 microSeconds
 ==== cpu compact without scan, power-of-two ====
-Time:  18687 microSeconds
+Time:  34329 microSeconds
 ==== cpu compact with scan ====
-Time:  83991 microSeconds
+Time:  109976 microSeconds
 ==== work-efficient compact, power-of-two ====
-Time:  19679 microSeconds
+Time:  23858 microSeconds
 
 ** SIZE = 16777216 **
 ****************
     [  38  19  38  37   5  47  15  35   0  12   3   0  42 ...  42   0 ]
 ==== cpu scan, power-of-two ====
-Time:  45688 microSeconds
+Time:  37124 microSeconds
 ==== naive scan, power-of-two ====
-Time:  20 microSeconds
+Time:  23 microSeconds
 ==== work-efficient scan, power-of-two ====
-Time:  32 microSeconds
+Time:  35 microSeconds
 ==== thrust scan, power-of-two ====
-Time:  63120 microSeconds
+Time:  2988794 microSeconds
 ==== cpu radix sort ====
-Time:  2234690 microSeconds
+Time:  4724527 microSeconds
 ==== gpu radix sort cpu scan ====
-Time:  144521 microSeconds
+Time:  374356 microSeconds
 ==== gpu radix sort naive scan ====
-Time:  141110 microSeconds
+Time:  367443 microSeconds
 ==== gpu radix sort thrust scan ====
-Time:  140133 microSeconds
+Time:  359604 microSeconds
 ==== cpu compact without scan, power-of-two ====
-Time:  37891 microSeconds
+Time:  68579 microSeconds
 ==== cpu compact with scan ====
-Time:  147074 microSeconds
+Time:  218190 microSeconds
 ==== work-efficient compact, power-of-two ====
-Time:  38434 microSeconds
+Time:  49360 microSeconds
 Press any key to continue . . .
 ```
 
-* Large scale results:
+* Large scale results (in microseconds):
 ![largescale](./images/bench1.png)
 
-* Small scale results:
+* Small scale results (in microseconds):
 ![largescale](./images/bench2.png)
 
-
 The significance is obvious between the CPU and GPU
 implementations.  When looking at small arrays, the
 CPU seems to take an interesting advantage.  However
@@ -599,14 +638,25 @@ is due to interrupts between the up and downscan.
 Every time upscan is called, memory has to be
 allocated and copied, the same happens with downscan
 This is shown in the last figure.  Despite that,
-the loss is minumal.
+the loss is minimal.
 Thrust scan does well and scales linearly albeit not
 as good as the naive and efficient methods.
 One thing that was interesting to note is that radix
 benefitted more from the thrust scan than the other
 GPU implementations.  Again possibly due to the 
-multiple GPU functions.  The max number function is
-run on the GPU and memory is copied back and forth.
+multiple GPU functions and memory copies.
+The get max number function is run on the GPU and 
+memory is copied back and forth.
+THe biggest bottleneck in all the test was in the 
+memory copying especially between the host and
+the device.  The GPU functions runs extremely fast
+in comparison to the memory copying.
+The following benchmarks took a few minutes to run
+while you'll notice that the GPU time per function
+is close to negligeable.  Time is is milliseconds:
+* GPU functions timing (in milliseconds)
+![GPU functions](./images/bench_GPU_functions.png)
+
 One bottleneck that manifests itself in the graph
 below is from the kernDecimalsMap function.
 Not enough resources are used during this function
diff --git a/src/main.cpp b/src/main.cpp
index b157977..a5a32ea 100644
--- a/src/main.cpp
+++ b/src/main.cpp
@@ -17,7 +17,7 @@
 #include <time.h>
 #include <iostream>
 #include <windows.h>
-
+#include <vector>
 
 int comparator(const void* a, const void* b)
 {
@@ -44,7 +44,6 @@ int main(int argc, char* argv[]) {
     printDesc("cpu scan, power-of-two");
     StreamCompaction::CPU::scan(SIZE, b, a);
     printArray(SIZE, b, true);
-    
 
     zeroArray(SIZE, c);
     printDesc("cpu scan, non-power-of-two");
@@ -169,14 +168,75 @@ int main(int argc, char* argv[]) {
 
 
 
+    // bench tests
+    int iternum = 1000;
+    std::vector<float>naive_results;
+    std::vector<float>upsweep_results;
+    std::vector<float>downsweep_results;
+    std::vector<float>thrust_results;
 
+    for (int i = 8; i < 15; i += 4)
+    {
+        int SZ = 1 << i;
+        int* A = new int[SZ];
+        int* C = new int[SZ];
 
+        printf("\n\n==== BENCHMARK on %d items ====", SZ);
 
+        float naivescan = 0;
+        for (int j = 0; j < iternum; j++)
+        {
+            genArray(SZ - 1, A, 50);
+            A[SZ - 1] = 0;
+            zeroArray(SZ, C);
+            naivescan += StreamCompaction::Naive::timeKernScan(SIZE, C, A);
+        }
+        printf("\nnaive scan time: %f", naivescan/iternum);
+        naive_results.push_back(naivescan / iternum);
 
+        float upsweep = 0;
+        for (int j = 0; j < iternum; j++)
+        {
+            genArray(SZ - 1, A, 50);
+            A[SZ - 1] = 0;
+            zeroArray(SZ, C);
+            upsweep += StreamCompaction::Efficient::timeKernUpsweep(SIZE, C);
+        }
+        printf("\nupsweep time: %f", upsweep / iternum);
+        upsweep_results.push_back(upsweep / iternum);
 
+        float downsweep = 0;
+        for (int j = 0; j < iternum; j++)
+        {
+            genArray(SZ - 1, A, 50);
+            A[SZ - 1] = 0;
+            zeroArray(SZ, C);
+            downsweep += StreamCompaction::Efficient::timeKernDownsweep(SIZE, C);
+        }
+        printf("\ndownsweep time: %f", downsweep / iternum);
+        downsweep_results.push_back(downsweep / iternum);
 
+        float thrusttime = 0;
+        for (int j = 0; j < iternum; j++)
+        {
+            genArray(SZ - 1, A, 50);
+            A[SZ - 1] = 0;
+            zeroArray(SZ, C);
+            thrusttime += StreamCompaction::Thrust::timeThrust(SIZE, C, A);
+        }
+        printf("\nthurst time: %f", thrusttime / iternum);
+        thrust_results.push_back(thrusttime / iternum);
 
+        delete[] A;
+        delete[] C;
+    }
 
+    // print in format
+    printf("\n\n-------- GPU calls results --------");
+    printf("\nnaive: "); for (int i = 0; i < naive_results.size(); i++) printf(" %f", naive_results[i]); printf("\n");
+    printf("upsweep: "); for (int i = 0; i < upsweep_results.size(); i++) printf(" %f", upsweep_results[i]); printf("\n");
+    printf("downsweep: "); for (int i = 0; i < downsweep_results.size(); i++) printf(" %f", downsweep_results[i]); printf("\n");
+    printf("thrust: "); for (int i = 0; i < thrust_results.size(); i++) printf(" %f", thrust_results[i]); printf("\n");
 
     {
         // bechmarks
@@ -222,7 +282,6 @@ int main(int argc, char* argv[]) {
             //t = clock() - t;
             //printf("Elapsed time %f second(s).\n", t, ((float)t) / CLOCKS_PER_SEC);
 
-            Sleep(1);
             zeroArray(SIZE, b);
             printDesc("cpu scan, power-of-two");
             QueryPerformanceFrequency(&freq);
@@ -233,7 +292,6 @@ int main(int argc, char* argv[]) {
             std::cout << "Time:  " << ((end.QuadPart - start.QuadPart) * 1000000 / freq.QuadPart)/iterations << " microSeconds\n";
 
             /*
-            Sleep(1);
             zeroArray(SIZE, c);
             printDesc("cpu scan, non-power-of-two");
             QueryPerformanceFrequency(&freq);
@@ -245,7 +303,6 @@ int main(int argc, char* argv[]) {
             */
 
 
-            Sleep(1);
             zeroArray(SIZE, c);
             printDesc("naive scan, power-of-two");
             QueryPerformanceFrequency(&freq);
@@ -256,7 +313,6 @@ int main(int argc, char* argv[]) {
             std::cout << "Time:  " << ((end.QuadPart - start.QuadPart) * 1000000 / freq.QuadPart)/iterations << " microSeconds\n";
 
             /*
-            Sleep(1);
             zeroArray(SIZE, c);
             printDesc("naive scan, non-power-of-two");
             QueryPerformanceFrequency(&freq);
@@ -269,7 +325,6 @@ int main(int argc, char* argv[]) {
 
 
 
-            Sleep(1);
             zeroArray(SIZE, c);
             printDesc("work-efficient scan, power-of-two");
             QueryPerformanceFrequency(&freq);
@@ -280,7 +335,6 @@ int main(int argc, char* argv[]) {
             std::cout << "Time:  " << ((end.QuadPart - start.QuadPart) * 1000000 / freq.QuadPart)/iterations << " microSeconds\n";
 
             /*
-            Sleep(1);
             zeroArray(SIZE, c);
             printDesc("work-efficient scan, non-power-of-two");
             QueryPerformanceFrequency(&freq);
@@ -292,7 +346,6 @@ int main(int argc, char* argv[]) {
             */
 
 
-            Sleep(1);
             zeroArray(SIZE, c);
             printDesc("thrust scan, power-of-two");
             QueryPerformanceFrequency(&freq);
@@ -303,7 +356,6 @@ int main(int argc, char* argv[]) {
             std::cout << "Time:  " << ((end.QuadPart - start.QuadPart) * 1000000 / freq.QuadPart)/iterations << " microSeconds\n";
 
             /*
-            Sleep(1);
             zeroArray(SIZE, c);
             printDesc("thrust scan, non-power-of-two");
             QueryPerformanceFrequency(&freq);
@@ -315,7 +367,6 @@ int main(int argc, char* argv[]) {
             */
 
 
-            Sleep(1);
             printDesc("cpu radix sort");
             memcpy(c, a, sizeof(int)*SIZE);
             QueryPerformanceFrequency(&freq);
@@ -325,7 +376,6 @@ int main(int argc, char* argv[]) {
             QueryPerformanceCounter(&end);
             std::cout << "Time:  " << ((end.QuadPart - start.QuadPart) * 1000000 / freq.QuadPart)/iterations << " microSeconds\n";
 
-            Sleep(1);
             printDesc("gpu radix sort cpu scan");
             memcpy(c, a, sizeof(int)*SIZE);
             QueryPerformanceFrequency(&freq);
@@ -335,7 +385,6 @@ int main(int argc, char* argv[]) {
             QueryPerformanceCounter(&end);
             std::cout << "Time:  " << ((end.QuadPart - start.QuadPart) * 1000000 / freq.QuadPart)/iterations << " microSeconds\n";
             
-            Sleep(1);
             printDesc("gpu radix sort naive scan");
             memcpy(c, a, sizeof(int)*SIZE);
             QueryPerformanceFrequency(&freq);
@@ -345,7 +394,6 @@ int main(int argc, char* argv[]) {
             QueryPerformanceCounter(&end);
             std::cout << "Time:  " << ((end.QuadPart - start.QuadPart) * 1000000 / freq.QuadPart)/iterations << " microSeconds\n";
 
-            Sleep(1);
             printDesc("gpu radix sort thrust scan");
             memcpy(c, a, sizeof(int)*SIZE);
             QueryPerformanceFrequency(&freq);
@@ -364,7 +412,6 @@ int main(int argc, char* argv[]) {
             genArray(SIZE - 1, a, 4);  // Leave a 0 at the end to test that edge case
             a[SIZE - 1] = 0;
 
-            Sleep(1);
             zeroArray(SIZE, b);
             printDesc("cpu compact without scan, power-of-two");
             QueryPerformanceFrequency(&freq);
@@ -376,7 +423,6 @@ int main(int argc, char* argv[]) {
 
 
             /*
-            Sleep(1);
             zeroArray(SIZE, c);
             printDesc("cpu compact without scan, non-power-of-two");
             QueryPerformanceFrequency(&freq);
@@ -388,7 +434,6 @@ int main(int argc, char* argv[]) {
             */
 
 
-            Sleep(1);
             zeroArray(SIZE, c);
             printDesc("cpu compact with scan");
             QueryPerformanceFrequency(&freq);
@@ -398,7 +443,6 @@ int main(int argc, char* argv[]) {
             QueryPerformanceCounter(&end);
             std::cout << "Time:  " << ((end.QuadPart - start.QuadPart) * 1000000 / freq.QuadPart) / iterations << " microSeconds\n";
 
-            Sleep(1);
             zeroArray(SIZE, c);
             printDesc("work-efficient compact, power-of-two");
             QueryPerformanceFrequency(&freq);
@@ -409,7 +453,6 @@ int main(int argc, char* argv[]) {
             std::cout << "Time:  " << ((end.QuadPart - start.QuadPart) * 1000000 / freq.QuadPart) / iterations << " microSeconds\n";
 
             /*
-            Sleep(1);
             zeroArray(SIZE, c);
             printDesc("work-efficient compact, non-power-of-two");
             QueryPerformanceFrequency(&freq);
diff --git a/stream_compaction/efficient.cu b/stream_compaction/efficient.cu
index 87addd3..30b68fa 100644
--- a/stream_compaction/efficient.cu
+++ b/stream_compaction/efficient.cu
@@ -2,6 +2,7 @@
 #include <cuda_runtime.h>
 #include "common.h"
 #include "efficient.h"
+#include "stdio.h"
 
 namespace StreamCompaction {
     namespace Efficient {
@@ -104,13 +105,13 @@ namespace StreamCompaction {
             // TODO
             //printf("TODO\n");
 
-            dim3 blocks((n + blockSize - 1) / blockSize);
 
             int nold = n;
 
-            if (n % 2 == 0)
+            if (n % ilog2ceil(n) == 0)
             {
                 n = 1 << ilog2ceil(n);
+                dim3 blocks((n + blockSize - 1) / blockSize);
                 //setup(n, idata);
                 int* dev_scandata;
                 cudaMalloc((void**)&dev_scandata, n * sizeof(int));
@@ -125,7 +126,7 @@ namespace StreamCompaction {
                 cudaMemset(dev_scandata + (n - 1), 0, sizeof(int));
                 for (int d = ilog2ceil(n); d >= 0; d--)
                 {
-                    kerndownsweep << <blocks, blockSize >> >(n, d, dev_scandata);
+                    kerndownsweep << <blocks, blockSize >> >(n, d, dev_scandata);  
                 }
                 cudaMemcpy(odata, dev_scandata, sizeof(int) * n, cudaMemcpyDeviceToHost);
 
@@ -134,6 +135,7 @@ namespace StreamCompaction {
             else
             {
                 n = 1 << ilog2ceil(n);
+                dim3 blocks((n + blockSize - 1) / blockSize);
                 //setup(n, idata);
                 int* dev_scandata;
                 cudaMalloc((void**)&dev_scandata, n * sizeof(int));
@@ -145,6 +147,7 @@ namespace StreamCompaction {
                 }
 
                 cudaMemset(dev_scandata + (n - 1), 0, sizeof(int));
+
                 for (int d = ilog2ceil(n); d >= 0; d--)
                 {
                     kerndownsweep << <blocks, blockSize >> >(n, d, dev_scandata);
@@ -157,6 +160,64 @@ namespace StreamCompaction {
 
         }
 
+        
+        float timeKernUpsweep(int n, const int *idata)
+        {
+            int* dev_idata;
+            cudaMalloc((void**)&dev_idata, n * sizeof(int));
+
+            cudaMemcpy(dev_idata, idata, sizeof(int) * n, cudaMemcpyHostToDevice);
+
+            dim3 blocks((n + blockSize - 1) / blockSize);
+
+            cudaEvent_t start, stop; cudaEventCreate(&start); cudaEventCreate(&stop); cudaEventRecord(start);
+
+            if (n % 2 == 0)
+            {
+                for (int d = 0; d <= ilog2ceil(n) - 1; d++)
+                {
+                    kernupsweep << <blocks, blockSize >> >(n, d, dev_idata);
+                }
+            }
+            cudaEventRecord(stop); cudaEventSynchronize(stop); float milliseconds = 0; cudaEventElapsedTime(&milliseconds, start, stop);
+            //printf("\nELAPSED TIME = %f\n", milliseconds);
+
+            cudaEventDestroy(start); cudaEventDestroy(stop);
+
+            cudaFree(dev_idata);
+
+            return milliseconds;
+        }
+
+        float timeKernDownsweep(int n, const int *idata)
+        {
+            int* dev_idata;
+            cudaMalloc((void**)&dev_idata, n * sizeof(int));
+
+            cudaMemcpy(dev_idata, idata, sizeof(int) * n, cudaMemcpyHostToDevice);
+
+            dim3 blocks((n + blockSize - 1) / blockSize);
+
+            cudaEvent_t start, stop; cudaEventCreate(&start); cudaEventCreate(&stop); cudaEventRecord(start);
+
+            if (n % 2 == 0)
+            {
+                for (int d = 0; d <= ilog2ceil(n) - 1; d++)
+                {
+                    kerndownsweep << <blocks, blockSize >> >(n, d, dev_idata);
+                }
+            }
+            cudaEventRecord(stop); cudaEventSynchronize(stop); float milliseconds = 0; cudaEventElapsedTime(&milliseconds, start, stop);
+            //printf("\nELAPSED TIME = %f\n", milliseconds);
+
+            cudaEventDestroy(start); cudaEventDestroy(stop);
+
+            cudaFree(dev_idata);
+
+            return milliseconds;
+        }
+        
+
         /**
         * Performs stream compaction on idata, storing the result into odata.
         * All zeroes are discarded.
@@ -169,12 +230,13 @@ namespace StreamCompaction {
         int compact(int n, int *odata, const int *idata) {
             // TODO
 
-            dim3 blocks((n + blockSize - 1) / blockSize);
+            //dim3 blocks((n + blockSize - 1) / blockSize);
             int count = 0;
 
-            if (n % 2 == 0)
+            if (n % ilog2ceil(n) == 0)
             {
                 n = 1 << ilog2ceil(n);
+                dim3 blocks((n + blockSize - 1) / blockSize);
 
                 //setupcompact(n, idata);
                 int* dev_idata;
@@ -196,7 +258,7 @@ namespace StreamCompaction {
                 cudaMemcpy(dev_idata, idata, sizeof(int)*n, cudaMemcpyHostToDevice);
                 cudaMemcpy(dev_odata, odata, sizeof(int)*n, cudaMemcpyHostToDevice);
 
-                StreamCompaction::Common::kernMapToBoolean << <blocks, blockSize >> > (n, dev_bools, dev_scandata);
+                StreamCompaction::Common::kernMapToBoolean << <blocks, blockSize >> > (n, dev_bools, dev_idata);
 
                 scan(n, dev_indices, dev_bools);
                 cudaMemcpy(bools, dev_bools, sizeof(int) * n, cudaMemcpyDeviceToHost);
@@ -233,6 +295,7 @@ namespace StreamCompaction {
             else
             {
                 n = 1 << ilog2ceil(n);
+                dim3 blocks((n + blockSize - 1) / blockSize);
 
                 //setupcompact(n, idata);
                 int* dev_idata;
@@ -254,7 +317,7 @@ namespace StreamCompaction {
                 cudaMemcpy(dev_idata, idata, sizeof(int)*n, cudaMemcpyHostToDevice);
                 cudaMemcpy(dev_odata, odata, sizeof(int)*n, cudaMemcpyHostToDevice);
 
-                StreamCompaction::Common::kernMapToBoolean << <blocks, blockSize >> > (n, dev_bools, dev_scandata);
+                StreamCompaction::Common::kernMapToBoolean << <blocks, blockSize >> > (n, dev_bools, dev_idata);
 
                 scan(n, dev_indices, dev_bools);
                 cudaMemcpy(bools, dev_bools, sizeof(int) * n, cudaMemcpyDeviceToHost);
@@ -265,7 +328,10 @@ namespace StreamCompaction {
                 cudaMemcpy(odata, dev_odata, sizeof(int)*n, cudaMemcpyDeviceToHost);
 
                 count = indices[n - 1] + bools[n - 1] - 1;
-
+                //for (int i = 0; i < n; i++)
+                //   printf("%d ", indices[i]);
+                //for (int i = 0; i < n; i++)
+                //   printf("%d ", bools[i]);
                 //cleanupcompact();
                 cudaFree(dev_idata);
                 cudaFree(dev_odata);
@@ -279,6 +345,5 @@ namespace StreamCompaction {
 
             return count;
         }
-
     }
 }
diff --git a/stream_compaction/efficient.h b/stream_compaction/efficient.h
index 395ba10..6e24625 100644
--- a/stream_compaction/efficient.h
+++ b/stream_compaction/efficient.h
@@ -3,6 +3,8 @@
 namespace StreamCompaction {
 namespace Efficient {
     void scan(int n, int *odata, const int *idata);
+    float timeKernUpsweep(int n, const int *idata);
+    float timeKernDownsweep(int n, const int *idata);
 
     int compact(int n, int *odata, const int *idata);
 }
diff --git a/stream_compaction/naive.cu b/stream_compaction/naive.cu
index 0781c41..ffdc72c 100644
--- a/stream_compaction/naive.cu
+++ b/stream_compaction/naive.cu
@@ -8,6 +8,10 @@ namespace StreamCompaction {
 namespace Naive {
 
 // TODO: __global__
+
+
+
+
 #define blockSize 128
 
     int* dev_scandata;
@@ -38,6 +42,42 @@ namespace Naive {
         else
             dev_scandata[k] = dev_scandata2[k-1];
     }
+
+    float timeKernScan(int n, int *odata, const int *idata)
+    {
+        int* dev_odata;
+        int* dev_idata;
+        cudaMalloc((void**)&dev_odata, n * sizeof(int));
+        cudaMalloc((void**)&dev_idata, n * sizeof(int));
+
+        cudaMemcpy(dev_idata, idata, sizeof(int) * n, cudaMemcpyHostToDevice);
+        cudaMemcpy(dev_odata, dev_idata, sizeof(int) * n, cudaMemcpyDeviceToDevice);
+
+
+        dim3 blocks((n + blockSize - 1) / blockSize);
+
+
+        cudaEvent_t start, stop; cudaEventCreate(&start); cudaEventCreate(&stop); cudaEventRecord(start);
+        int count = 0;
+        if (n % 2 == 0)
+        {
+            for (int d = 1; d <= ilog2ceil(n); d++)
+            {
+                kernscan << <blocks, blockSize >> >(n, d, dev_scandata, dev_scandata2);
+                count++;
+            }
+        }
+        cudaEventRecord(stop); cudaEventSynchronize(stop); float milliseconds = 0; cudaEventElapsedTime(&milliseconds, start, stop);
+        //printf("\nELAPSED TIME = %f\n", milliseconds);
+
+        cudaEventDestroy(start); cudaEventDestroy(stop);
+
+        cudaFree(dev_odata);
+        cudaFree(dev_idata);
+
+        return milliseconds;
+    }
+
 /**
  * Performs prefix-sum (aka scan) on idata, storing the result into odata.
  */
@@ -52,11 +92,10 @@ namespace Naive {
         cudaMemcpy(dev_scandata2, idata, sizeof(int) * n, cudaMemcpyHostToDevice);
         cudaMemcpy(dev_scandata, dev_scandata2, sizeof(int) * n, cudaMemcpyDeviceToDevice);
 
-
         dim3 blocks((n + blockSize - 1) / blockSize);
 
         int count = 0;
-        if (n % 2 == 0)
+        if (n % ilog2(n) == 0)
         {
             for (int d = 1; d <= ilog2ceil(n); d++)
             {
@@ -72,17 +111,16 @@ namespace Naive {
                 count++;
             }
         }
+
         
-        if (n % 2 == 0)
+        if (n % ilog2(n) == 0)
         {
-            kerninc2exc << <blocks, blockSize >> >(n,
-                dev_scandata2, dev_scandata);
+            kerninc2exc << <blocks, blockSize >> >(n, dev_scandata2, dev_scandata);
             cudaMemcpy(odata, dev_scandata2, sizeof(int) * n, cudaMemcpyDeviceToHost);
         }
         else
         {
-            kerninc2exc << <blocks, blockSize >> >(n,
-                dev_scandata, dev_scandata2);
+            kerninc2exc << <blocks, blockSize >> >(n, dev_scandata, dev_scandata2);
             cudaMemcpy(odata, dev_scandata, sizeof(int) * n, cudaMemcpyDeviceToHost);
         }
 
diff --git a/stream_compaction/naive.h b/stream_compaction/naive.h
index 21152d6..10a82d7 100644
--- a/stream_compaction/naive.h
+++ b/stream_compaction/naive.h
@@ -3,5 +3,6 @@
 namespace StreamCompaction {
 namespace Naive {
     void scan(int n, int *odata, const int *idata);
+    float timeKernScan(int n, int *odata, const int *idata);
 }
 }
diff --git a/stream_compaction/thrust.cu b/stream_compaction/thrust.cu
index 1939199..1b0334d 100644
--- a/stream_compaction/thrust.cu
+++ b/stream_compaction/thrust.cu
@@ -9,6 +9,31 @@
 namespace StreamCompaction {
 namespace Thrust {
 
+
+    float timeThrust(int n, int *odata, const int *idata)
+    {
+        int* dev_odata;
+        int* dev_idata;
+        cudaMalloc((void**)&dev_odata, n * sizeof(int));
+        cudaMalloc((void**)&dev_idata, n * sizeof(int));
+
+        cudaMemcpy(dev_idata, idata, sizeof(int) * n, cudaMemcpyHostToDevice);
+        cudaMemcpy(dev_odata, dev_idata, sizeof(int) * n, cudaMemcpyDeviceToDevice);
+
+        thrust::host_vector<int> dv_in(idata, idata + n);
+        thrust::host_vector<int> dv_out(odata, odata + n);
+
+        cudaEvent_t start, stop; cudaEventCreate(&start); cudaEventCreate(&stop); cudaEventRecord(start);
+        thrust::exclusive_scan(dv_in.begin(), dv_in.end(), dv_out.begin());
+        cudaEventRecord(stop); cudaEventSynchronize(stop); float milliseconds = 0; cudaEventElapsedTime(&milliseconds, start, stop);
+        //printf("\nELAPSED TIME = %f\n", milliseconds);
+        cudaEventDestroy(start); cudaEventDestroy(stop);
+
+        cudaFree(dev_odata);
+        cudaFree(dev_idata);
+
+        return milliseconds;
+    }
 /**
  * Performs prefix-sum (aka scan) on idata, storing the result into odata.
  */
@@ -25,7 +50,7 @@ void scan(int n, int *odata, const int *idata) {
 
     thrust::exclusive_scan(dv_in.begin(), dv_in.end(), dv_out.begin());
 
-    //odata = &(dv_out.front()); 
+    //odata = &(dv_out.front());
     for (int i = 0; i < n; i++)
         odata[i] = dv_out[i];
 }
diff --git a/stream_compaction/thrust.h b/stream_compaction/thrust.h
index 06707f3..ccacb34 100644
--- a/stream_compaction/thrust.h
+++ b/stream_compaction/thrust.h
@@ -3,5 +3,6 @@
 namespace StreamCompaction {
 namespace Thrust {
     void scan(int n, int *odata, const int *idata);
+    float timeThrust(int n, int *odata, const int *idata);
 }
 }

From 7822bd0f5149bf75eea0bc6799b9d99da0cca9aa Mon Sep 17 00:00:00 2001
From: reddeupenn <redde@seas.upenn.edu>
Date: Tue, 27 Sep 2016 22:45:23 -0400
Subject: [PATCH 10/10] dded graph for GPU benchmark results

---
 images/bench_GPU_functions.png | Bin 0 -> 32404 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 images/bench_GPU_functions.png

diff --git a/images/bench_GPU_functions.png b/images/bench_GPU_functions.png
new file mode 100644
index 0000000000000000000000000000000000000000..86b19fafd82cb31e763fc17a1ff11f46380c06cd
GIT binary patch
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