Benchmarks report

Generated on 2011-07-13, 11:08 PM

CPU: Intel(R) Core(TM) i7-2600K CPU @ 3.40GHz

Total memory: 8173548 kB

Input file: /home/spiros/git/auto-numerical-bench/app-benchmarks/autobench/files/python/blastests.in
# Testing almost all implementations using gcc-4.6.1 and enabling vectorization

blas-reference sci-libs/blas-reference-3.3.1-r1 FC=gfortran-4.5.2 FFLAGS="-O3 -pipe -march=native -msse3 -msse4.1 -msse4.2"
acml sci-libs/acml-4.4.0-r1 -acml32-gfortran -acml32-gfortran-openmp -acml64-gfortran-openmp
goto sci-libs/gotoblas2-1.13 CFLAGS="-O3 -march=native" USE='incblas' TARGET=NEHALEM
atlas sci-libs/atlas-3.9.41 CC=gcc-4.6.1 CFLAGS="-O3 -pipe -march=native -msse3 -msse4.1 -msse4.2"
openblas sci-libs/openblas CC=gcc-4.6.1 CFLAGS="-O3 -pipe -march=native -msse3 -msse4.1 -msse4.2" USE=incblas TARGET=NEHALEM
eigen dev-cpp/eigen-3.0.1-r1 CC=gcc-4.6.1 CXX=g++-4.6.1 CFLAGS="-O3 -pipe -march=native -msse3 -msse4.1 -msse4.2" CXXFLAGS="-O3 -pipe -march=native -msse3 -msse4.1 -msse4.2"
Logs: /var/log/benchmarks/blas_accuracy_2011-07-13

y = a*x + y

Matrix-Vector multiply

Triangular system solution

Matrix-Matrix multiply