numpy・scipyでマルチスレッドBLAS・LAPACKを使う ref: http://qiita.com/_akisato/items/d5de60e38b5a69387bde

__init__.py

from scipy.linalg import flapack
clapack = flapack
_use_force_clapack = 0

__init_old__.py

from scipy.linalg import flapack
from scipy.linalg import clapack
_use_force_clapack = 1
if hasattr(clapack,'empty_module'):
    clapack = flapack
    _use_force_clapack = 0
elif hasattr(flapack,'empty_module'):
    flapack = clapack''

file0.txt

# wget http://prs.ism.ac.jp/~nakama/SurviveGotoBLAS2/SurviveGotoBLAS2_3.14.tar.gz
# tar xzf SurviveGotoBLAS2_3.14.tar.gz
# cd survivegotoblas2_3.14
# vim Makefile.rule
TARGET=X86_64
BINARY=64
USE_THREAD=1
USE_OPENMP=1
NUM_THREADS=12    # CPUの数に応じて調節する
NO_CBLAS=1    # CBLASはあとでビルドする
NO_LAPACK=1    # LAPACKもあとでビルドする
# make all -j 4
# cp libgoto2.a ~/lib    # 永続的に残す場所（ここでは~/lib）へコピー

file1.txt

# mkdir tmp
# cd tmp
# cp ../libgoto2.a .
# ar -x libgoto2.a    # .aを.oに分解
# gfortran -shared -lpthread -lgomp  -o libgoto2.so *.o
# cp libgoto2.so ~/lib    # 永続的に残す場所へコピー
# export BLAS=~/lib/libgoto2.so    # なくても良いかも

file10.txt

# python setup.py build
# python setup.py install

file11.txt

# python -c "import numpy; numpy.test(verbose=2)"

file2.txt

# wget http://www.netlib.org/blas/blast-forum/cblas.tgz
# tar xzf cblas.tgz
# cd CBLAS
# cp Makefile.LINUX Makefile.in
# vim Makefile.in
BLLIB = ~/lib/libgoto2.a    # ここでBLASを参照
CBLIB = ../lib/libcblas.a    # CBLASの出力先
LOADER = $(FC) -lpthread
CFLAGS = -O3 -m64 -fPIC -DADD_
FFLAGS = -O3 -m64 -fPIC
# make all -j 4
# cp lib/libcblas.a ~/lib    # 永続的に残す場所へコピー
# gfortran -L${HOME}/lib -lgoto2 -shared -o libcblas.so *.o
# cp libcblas.so ~/lib    # 永続的に残す場所へコピー

file3.txt

# wget http://www.netlib.org/lapack/lapack.tgz
# tar xzf lapack.tgz
# cd lapack
# cp INSTALL/make.inc.gfortran make.inc
# vi make.inc
OPTS =  -O3 -m64 -fPIC
NOOPT = -O0 -m64 -fPIC
LOADOPTS = -L${HOME}/lib -lgoto2 -lcblas
# make lapacklib -j 4
# cp liblapack.a ~/lib    # 永続的に残す場所へコピー
# mkdir tmp
# cd tmp
# cp ../liblapack.a .
# ar -x liblapack.a    # .aを.oに分解
# gfortran -L${HOME}/lib -lgoto2 -lcblas -shared -o liblapack.so *.o
# cp liblapack.so ~/lib
# export LAPACK=~/lib/liblapack.so    # なくても良いかも

file4.txt

# wget http://sourceforge.net/projects/numpy/files/NumPy/1.9.0/numpy-1.9.0.tar.gz/download --no-check-certificate
# tar xzf numpy-1.9.0.tar.gz
# cd numpy-1.9.0
# cp site.cfg.example site.cfg
# vim site.cfg
[DEFAULT]
library_dirs = ${HOME}/lib
[atlas]
atlas_libs = goto2,cblas
# python setup.py build
# python setup.py install

file5.txt

# python -c "import numpy; numpy.test(verbose=2)"

file6.txt

# python test_numpy.py

file7.txt

# wget http://sourceforge.net/projects/scipy/files/scipy/0.14.0/scipy-0.14.0.tar.gz/download
# tar xzvf scipy-0.14.0.tar.gz
# cd scipy-0.14.0
# vim site.cfg
[DEFAULT]
library_dirs = ${HOME}/lib
[atlas]
atlas_libs = lapack,goto2,cblas