1.caffe 上OpenBLAS的安裝使用
BLAS是一個數學函數接口標準，有很多個實現。按照Caffe官方ubuntu的安裝文檔默認安裝的是ATLAS。這個版本的BLAS不能利用多核CPU，我們將其換為OpenBLAS，可以利用多核CPU并行計算，加快Caffe的分類速度。
源代碼安裝配置OpenBLAS
-git代碼到本地并安裝

git clone https://github.com/xianyi/OpenBLAS.git
cd OpenBLAS
make -j4
make install

-修改Caffe的Makefile.config

BLAS_INCLUDE :=  /opt/OpenBLAS/include
BLAS_LIB := /opt/OpenBLAS/lib

-caffe重新make

make clean

make pycaffe

make all -j6

make test && runtest

在caffe安裝好后，編譯時要指定Makefile.config

# BLAS choice:
# atlas for ATLAS (default)
# mkl for MKL
# open for OpenBlas
BLAS := open
# Custom (MKL/ATLAS/OpenBLAS) include and lib directories.
# Leave commented to accept the defaults for your choice of BLAS
# (which should work)!
BLAS_INCLUDE := /usr/local/OpenBlas/include
BLAS_LIB := /usr/local/OpenBlas/lib

在runtest時會報一個錯：：error while loading shared libraries: libopenblas.so.0: cannot open shared object file: No such file or directory.
解決方法：在/usr/lib/下建立一個 軟鏈接將 libopenblas.so.0指向/openbls安裝目錄/lib/ libopenblas.so.0

sudo ln -s /opt/OpenBLAS/lib/libopenblas.so.0 /usr/lib/libopenblas.so.0