2015年6月30日 星期二

BLAS - ATLAS openBLAS and MKL installation on Ubuntu14.04

BLAS (Basic Linear Algebra Subprograms) 

It is a specification that prescribes a set of low-level routines for performing common linear algebra operations.

There are a lot of implements of BLAS:

  • Accelerate : Apple's framework for Mac OS X and iOS, which includes tuned versions of BLAS
  • ACML : The AMD Core Math Library, supporting the AMD Athlon and Opteron CPUs under Linux and Windows.
  • ATLAS : Automatically Tuned Linear Algebra Software, an open source implementation of BLAS APIs for C and Fortran.
  • BLIS : BLAS-like Library Instantiation Software framework for rapid instantiation.
  • cuBLAS : Optimized BLAS for NVIDIA based GPU cards.
  • clBLAS : An OpenCL implemenation of BLAS.
  • Intel MKL : The Intel Math Kernel Library, supporting x86 32-bits and 64-bits. Includes optimizations for Intel Pentium, Core and Intel   Xeon CPUs and Intel Xeon Phi; support for Linux, Windows and Mac OS X.
  • etc..

MKL installation 

Step1: Go to the bellow links and register for Parallel Studio XE Cluster Edition. You will receive an email containing install and download instructions.
https://software.intel.com/en-us/intel-education-offerings

Step2: 

  $ tar zxvf parallel_studio_xe_2015_update3.tgz
  $ chmod a+x parallel_studio_xe_2015_update3 -R
  $ cd parallel_studio_xe_2015_update3
  $ sudo ./install_GUI.sh
And then enter the serial keys as follow figure

Step3:
Extend default lib search path for MKL in ubuntu. Do not need to export LD_LIBRARY_PATH
Create intel_mkl.conf, and edit it.
  $ cd /etc/ld.so.conf.d
  $ sudo vi intel_mkl.conf
Paste the bellows:
  /opt/intel/lib/intel64
  /opt/intel/mkl/lib/intel64
  $ sudo ldconfig -v

The faster way to setup MKL:
Download MKL libraray from 
https://drive.google.com/file/d/0Bz2RXKLpvFgITU16YUs1TmNGcDA/view?usp=sharing
$ tar -xf intel_mkl.tar
$ sudo mv intel_mkl /opt/intel 
$ export LD_LIBRARY_PATH=/opt/intel/mkl/lib/intel64:/opt/intel/lib/intel64:$LD_LIBRARY_PATH

ATLAS installation

  $ sudo apt-get install libatlas-base-dev


OpenBLAS installation

  $ sudo apt-get install libopenblas-dev





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