comparison_generalize

Benchmark Report

Generalize norm with 100 elements and size = 1,000 for a symmetrical matrix

name | rank | runs |      mean |     stdev | baseline

---------|------|------|-----------|-----------|--------- cysparse | 1 | 100 | 6.938e-07 | 1.33e-06 | 1 pysparse | 2 | 100 | 7.963e-07 | 1.217e-06 | 1.148

Generalize norm with 1,000 elements and size = 10,000 for a symmetrical matrix

name | rank | runs |      mean |     stdev | baseline

---------|------|------|-----------|-----------|--------- pysparse | 1 | 100 | 6.161e-06 | 5.383e-05 | 1 cysparse | 2 | 100 | 6.266e-06 | 5.584e-05 | 1.017

Generalize norm with 10,000 elements and size = 100,000 for a symmetrical matrix

name | rank | runs |      mean |    stdev | baseline

---------|------|------|-----------|----------|--------- pysparse | 1 | 100 | 0.0004842 | 0.004839 | 1 cysparse | 2 | 100 | 0.0004978 | 0.004974 | 1.028

Generalize norm with 80,000 elements and size = 100,000 for a symmetrical matrix

name | rank | runs |    mean |  stdev | baseline

---------|------|------|---------|--------|--------- pysparse | 1 | 100 | 0.03019 | 0.3019 | 1 cysparse | 2 | 100 | 0.0302 | 0.302 | 1

Total runs: 800 run in arbitrary order Python version: 2.7.5+ System: x86_64 Linux 3.11.0-12-generic Version: benchmark v0.1.5 Date: 2015-05-29 01:16:14