OpenBLAS

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Introduction

OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.

Please read the documentation on the OpenBLAS wiki pages: https://github.com/xianyi/OpenBLAS/wiki.

Binary Packages

We provide official binary packages for the following platform:

Windows x86/x86_64

You can download them from file hosting on sourceforge.net.

Installation from Source

Download from project homepage, https://xianyi.github.com/OpenBLAS/, or check out the code using Git from https://github.com/xianyi/OpenBLAS.git.

Dependencies

Building OpenBLAS requires the following to be installed:

GNU Make
A C compiler, e.g. GCC or Clang
A Fortran compiler (optional, for LAPACK)
IBM MASS (optional, see below)

Normal compile

Simply invoking make (or gmake on BSD) will detect the CPU automatically. To set a specific target CPU, use make TARGET=xxx, e.g. make TARGET=NEHALEM. The full target list is in the file TargetList.txt.

Cross compile

Set CC and FC to point to the cross toolchains, and set HOSTCC to your host C compiler. The target must be specified explicitly when cross compiling.

Examples:

On an x86 box, compile this library for a loongson3a CPU:

make BINARY=64 CC=mips64el-unknown-linux-gnu-gcc FC=mips64el-unknown-linux-gnu-gfortran HOSTCC=gcc TARGET=LOONGSON3A

On an x86 box, compile this library for a 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

Debug version

A debug version can be built using make DEBUG=1.

Compile with MASS support on Power CPU (optional)

The IBM MASS library consists of a set of mathematical functions for C, C++, and Fortran applications that are tuned for optimum performance on POWER architectures. OpenBLAS with MASS requires a 64-bit, little-endian OS on POWER. The library can be installed as shown:

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.8.1.5

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.8.1.5

After installing the MASS library, compile OpenBLAS with USE_MASS=1. For example, to compile on Power8 with MASS support: make USE_MASS=1 TARGET=POWER8.

Install to a specific directory (optional)

Use PREFIX= when invoking make, for example

make install PREFIX=your_installation_directory

The default installation directory is /opt/OpenBLAS.

Supported CPUs and Operating Systems

Please read GotoBLAS_01Readme.txt.

Additional supported CPUs

x86/x86-64

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.
Intel Skylake: Optimized Level-3 and Level-2 BLAS with AVX512 and FMA on x86-64.
AMD Bobcat: Used GotoBLAS2 Barcelona codes.
AMD Bulldozer: x86-64 ?GEMM FMA4 kernels. (Thanks to Werner Saar)
AMD PILEDRIVER: Uses Bulldozer codes with some optimizations.
AMD STEAMROLLER: Uses Bulldozer codes with some optimizations.
AMD ZEN: Uses Haswell codes with some optimizations.

MIPS64

ICT Loongson 3A: Optimized Level-3 BLAS and the part of Level-1,2.
ICT Loongson 3B: Experimental

ARM

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)

ARM64

ARMv8: Experimental
ARM Cortex-A57: Experimental

PPC/PPC64

POWER8: Optimized BLAS, only for PPC64LE (Little Endian), only with USE_OPENMP=1
POWER9: Optimized Level-3 BLAS (real) and some Level-1,2. PPC64LE with OpenMP only.

IBM zEnterprise System

Z13: Optimized Level-3 BLAS and Level-1,2 (double precision)
Z14: Optimized Level-3 BLAS and Level-1,2 (single precision)

Supported OS

GNU/Linux
MinGW or Visual Studio (CMake)/Windows: Please read https://github.com/xianyi/OpenBLAS/wiki/How-to-use-OpenBLAS-in-Microsoft-Visual-Studio.
Darwin/macOS: Experimental. Although GotoBLAS2 supports Darwin, we are not macOS experts.
FreeBSD: Supported by the community. We don't actively test the library on this OS.
OpenBSD: Supported by the community. We don't actively test the library on this OS.
DragonFly BSD: Supported by the community. We don't actively test the library on this OS.
Android: Supported by the community. Please read https://github.com/xianyi/OpenBLAS/wiki/How-to-build-OpenBLAS-for-Android.

Usage

Statically link with libopenblas.a or dynamically link with -lopenblas if OpenBLAS was compiled as a shared library.

Setting the number of threads using environment variables

Environment variables are used to specify a maximum number of threads. For example,

export OPENBLAS_NUM_THREADS=4
export GOTO_NUM_THREADS=4
export OMP_NUM_THREADS=4

The priorities are OPENBLAS_NUM_THREADS > GOTO_NUM_THREADS > OMP_NUM_THREADS.

If you compile this library with USE_OPENMP=1, you should set the OMP_NUM_THREADS environment variable; OpenBLAS ignores OPENBLAS_NUM_THREADS and GOTO_NUM_THREADS when compiled with USE_OPENMP=1.

Setting the number of threads at runtime

We provide the following functions to control the number of threads at runtime:

void goto_set_num_threads(int num_threads);
void openblas_set_num_threads(int num_threads);

If you compile this library with USE_OPENMP=1, you should use the above functions too.

Reporting bugs

Please submit an issue in https://github.com/xianyi/OpenBLAS/issues.

Contact

OpenBLAS users mailing list: https://groups.google.com/forum/#!forum/openblas-users
OpenBLAS developers mailing list: https://groups.google.com/forum/#!forum/openblas-dev

Change log

Please see Changelog.txt to view the differences between OpenBLAS and GotoBLAS2 1.13 BSD version.

Troubleshooting

Please read the FAQ 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. Clang 3.0 will generate the wrong AVX binary code.
Please use GCC version 6 or LLVM version 6 and above to compile Skylake AVX512 kernels.
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 out the line NO_AFFINITY=1 in Makefile.rule. However, note that this may cause a conflict with R parallel.
On Loongson 3A, make test may fail with a pthread_create error (EAGAIN). However, it will be okay when you run the same test case on the shell.

Contributing

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.

Donation

Please read this wiki page.

yuulin / OpenBLAS