comparison_row_scale_strided

Benchmark Report

Simple row_scale with 100 elements and size = 1,000 and a strided NumPy vector (stride = 10)

name | rank | runs |      mean |     stdev | baseline

---------|------|------|-----------|-----------|--------- cysparse | 1 | 10 | 7.343e-06 | 5.94e-06 | 1 pysparse | 2 | 10 | 8.774e-06 | 3.234e-06 | 1.195

Simple row_scale with 1000 elements and size = 10,000 and a strided NumPy vector (stride = 10)

name | rank | runs |      mean |     stdev | baseline

---------|------|------|-----------|-----------|--------- cysparse | 1 | 10 | 2.851e-05 | 1.364e-06 | 1 pysparse | 2 | 10 | 6.385e-05 | 2.338e-06 | 2.239

Simple row_scale with 10000 elements and size = 100,000 and a strided NumPy vector (stride = 10)

name | rank | runs |      mean |     stdev | baseline

---------|------|------|-----------|-----------|--------- cysparse | 1 | 10 | 0.0004733 | 7.523e-05 | 1 pysparse | 2 | 10 | 0.0007922 | 2.718e-05 | 1.674

Simple row_scale with 80000 elements and size = 100,000 and a strided NumPy vector (stride = 10)

name | rank | runs |      mean |     stdev | baseline

---------|------|------|-----------|-----------|--------- cysparse | 1 | 10 | 0.0005418 | 8.501e-05 | 1 pysparse | 2 | 10 | 0.0008255 | 4.292e-05 | 1.524

Simple row_scale with 10000 elements and size = 100,000 and a strided NumPy vector (stride = 739)

name | rank | runs |     mean |     stdev | baseline

---------|------|------|----------|-----------|--------- cysparse | 1 | 10 | 0.00163 | 0.000282 | 1 pysparse | 2 | 10 | 0.001965 | 0.0002132 | 1.205

Total runs: 100 run in arbitrary order Python version: 2.7.5+ System: x86_64 Linux 3.11.0-12-generic Version: benchmark v0.1.5 Date: 2015-05-28 16:41:56