Travis CI:
AppVeyor:
OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.
Please read the documents on OpenBLAS wiki pages http://github.com/xianyi/OpenBLAS/wiki.
We provide binary packages for the following platform.
- Windows x86/x86_64
You can download them from file hosting on sourceforge.net.
Download from project homepage. http://xianyi.github.com/OpenBLAS/
Or, check out codes from git://github.com/xianyi/OpenBLAS.git
- type "make" to detect the CPU automatically. or
- type "make TARGET=xxx" to set target CPU, e.g. "make TARGET=NEHALEM". The full target list is in file TargetList.txt.
Please set CC and FC with the cross toolchains. Then, set HOSTCC with your host C compiler. At last, set TARGET explicitly.
Examples:
On X86 box, compile this library for loongson3a CPU.
make BINARY=64 CC=mips64el-unknown-linux-gnu-gcc FC=mips64el-unknown-linux-gnu-gfortran HOSTCC=gcc TARGET=LOONGSON3A
On X86 box, compile this library for loongson3a CPU with loongcc (based on Open64) compiler.
make CC=loongcc FC=loongf95 HOSTCC=gcc TARGET=LOONGSON3A CROSS=1 CROSS_SUFFIX=mips64el-st-linux-gnu- NO_LAPACKE=1 NO_SHARED=1 BINARY=32
make DEBUG=1
IBM MASS library consists of a set of mathematical functions for C, C++, and Fortran-language applications that are tuned for optimum performance on POWER architectures. OpenBLAS with MASS requires 64-bit, little-endian OS on POWER. The library can be installed as below -
-
On Ubuntu:
wget -q http://public.dhe.ibm.com/software/server/POWER/Linux/xl-compiler/eval/ppc64le/ubuntu/public.gpg -O- | sudo apt-key add - echo "deb http://public.dhe.ibm.com/software/server/POWER/Linux/xl-compiler/eval/ppc64le/ubuntu/ trusty main" | sudo tee /etc/apt/sources.list.d/ibm-xl-compiler-eval.list sudo apt-get update sudo apt-get install libxlmass-devel.8.1.3
-
On RHEL/CentOS:
wget http://public.dhe.ibm.com/software/server/POWER/Linux/xl-compiler/eval/ppc64le/rhel7/repodata/repomd.xml.key sudo rpm --import repomd.xml.key wget http://public.dhe.ibm.com/software/server/POWER/Linux/xl-compiler/eval/ppc64le/rhel7/ibm-xl-compiler-eval.repo sudo cp ibm-xl-compiler-eval.repo /etc/yum.repos.d/ sudo yum install libxlmass-devel.8.1.3
After installing MASS library, compile openblas with USE_MASS=1.
Example:
Compiling on Power8 with MASS support -
make USE_MASS=1 TARGET=POWER8
Example:
make install PREFIX=your_installation_directory
The default directory is /opt/OpenBLAS
Please read GotoBLAS_01Readme.txt
- Intel Xeon 56xx (Westmere): Used GotoBLAS2 Nehalem codes.
- Intel Sandy Bridge: Optimized Level-3 and Level-2 BLAS with AVX on x86-64.
- Intel Haswell: Optimized Level-3 and Level-2 BLAS with AVX2 and FMA on x86-64.
- AMD Bobcat: Used GotoBLAS2 Barcelona codes.
- AMD Bulldozer: x86-64 ?GEMM FMA4 kernels. (Thank Werner Saar)
- AMD PILEDRIVER: Uses Bulldozer codes with some optimizations.
- AMD STEAMROLLER: Uses Bulldozer codes with some optimizations.
- ICT Loongson 3A: Optimized Level-3 BLAS and the part of Level-1,2.
- ICT Loongson 3B: Experimental
- ARMV6: Optimized BLAS for vfpv2 and vfpv3-d16 ( e.g. BCM2835, Cortex M0+ )
- ARMV7: Optimized BLAS for vfpv3-d32 ( e.g. Cortex A8, A9 and A15 )
- ARMV8: Experimental
- ARM Cortex-A57: Experimental
- Z13: blas3 for double
- GNU/Linux
- MingWin or Visual Studio(CMake)/Windows: Please read https://github.com/xianyi/OpenBLAS/wiki/How-to-use-OpenBLAS-in-Microsoft-Visual-Studio.
- Darwin/Mac OS X: Experimental. Although GotoBLAS2 supports Darwin, we are the beginner on Mac OS X.
- FreeBSD: Supported by community. We didn't test the library on this OS.
- Android: Supported by community. Please read https://github.com/xianyi/OpenBLAS/wiki/How-to-build-OpenBLAS-for-Android.
Link with libopenblas.a or -lopenblas for shared library.
Examples:
export OPENBLAS_NUM_THREADS=4
or
export GOTO_NUM_THREADS=4
or
export OMP_NUM_THREADS=4
The priorities are OPENBLAS_NUM_THREADS > GOTO_NUM_THREADS > OMP_NUM_THREADS.
If you compile this lib with USE_OPENMP=1, you should set OMP_NUM_THREADS environment variable. OpenBLAS ignores OPENBLAS_NUM_THREADS and GOTO_NUM_THREADS with USE_OPENMP=1.
We provided the below functions to control the number of threads on runtime.
void goto_set_num_threads(int num_threads);
void openblas_set_num_threads(int num_threads);
If you compile this lib with USE_OPENMP=1, you should use the above functions, too.
Please add a issue in https://github.com/xianyi/OpenBLAS/issues
- OpenBLAS users mailing list: https://groups.google.com/forum/#!forum/openblas-users
- OpenBLAS developers mailing list: https://groups.google.com/forum/#!forum/openblas-dev
Please see Changelog.txt to obtain the differences between GotoBLAS2 1.13 BSD version.
- Please read Faq at first.
- Please use gcc version 4.6 and above to compile Sandy Bridge AVX kernels on Linux/MingW/BSD.
- Please use Clang version 3.1 and above to compile the library on Sandy Bridge microarchitecture. The Clang 3.0 will generate the wrong AVX binary code.
- The number of CPUs/Cores should less than or equal to 256. On Linux x86_64(amd64), there is experimental support for up to 1024 CPUs/Cores and 128 numa nodes if you build the library with BIGNUMA=1.
- OpenBLAS does not set processor affinity by default. On Linux, you can enable processor affinity by commenting the line NO_AFFINITY=1 in Makefile.rule. But this may cause the conflict with R parallel.
- On Loongson 3A. make test would be failed because of pthread_create error. The error code is EAGAIN. However, it will be OK when you run the same testcase on shell.
- Check for open issues or open a fresh issue to start a discussion around a feature idea or a bug.
- Fork the OpenBLAS repository to start making your changes.
- Write a test which shows that the bug was fixed or that the feature works as expected.
- Send a pull request. Make sure to add yourself to
CONTRIBUTORS.md.
Please read this wiki page.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent