comparison_col_scale_strided

Benchmark Report

Simple col_scale with 100 elements and size = 1,000 and a strided NumPy vector

name | rank | runs |      mean |     stdev | baseline

---------|------|------|-----------|-----------|--------- cysparse | 1 | 10 | 6.986e-06 | 6.331e-06 | 1 pysparse | 2 | 10 | 1.256e-05 | 2.597e-06 | 1.799

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

name | rank | runs |      mean |     stdev | baseline

---------|------|------|-----------|-----------|--------- cysparse | 1 | 10 | 1.85e-05 | 1.377e-06 | 1 pysparse | 2 | 10 | 9.165e-05 | 4.863e-06 | 4.954

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

name | rank | runs |      mean |     stdev | baseline

---------|------|------|-----------|-----------|--------- cysparse | 1 | 10 | 0.0002064 | 1.748e-05 | 1 pysparse | 2 | 10 | 0.001102 | 0.000108 | 5.338

Simple col_scale with 80,000 elements and size = 100,000 and a strided NumPy vector (stride = 10)

name | rank | runs |      mean |     stdev | baseline

---------|------|------|-----------|-----------|--------- cysparse | 1 | 10 | 0.0006867 | 5.824e-05 | 1 pysparse | 2 | 10 | 0.001345 | 7e-05 | 1.959

Simple col_scale with 10,000 elements and size = 100,000 and a strided NumPy vector (stride = 739)

name | rank | runs |      mean |    stdev | baseline

---------|------|------|-----------|----------|--------- cysparse | 1 | 10 | 0.0003085 | 5.36e-05 | 1 pysparse | 2 | 10 | 0.002247 | 0.000201 | 7.285

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 15:17:24