Introduction

This folder contains a simple matrix-multiplication routine to test the performance of 5 BLAS implementations - ACML , ATLAS , EIGEN , MKL and OpenBLAS. All the libraries are assumed to be already installed in the system.

Compile

1. Go inside each folder.
2. Open compile.sh and put in the appropriate paths.
3. sh compile.sh

This will product two executables in each folder

1. a.out This is the single-threaded version of matrix-multiplication.

2. ap.out This is the multithreaded version of matrix-multiplication. The number of threads can be controlled by setting OMP_NUM_THREADS variables.
   Note that the number of threads for the ATLAS library is determined at compile time and cannot be dynamically changed. The OMP_NUM_THREADS variable has no effect on ATLAS

Test-scripts

There are three shell scripts,

1. run_single_cpu.sh

   Computes the average matrix-multiplication time (over 5 runs) for each implementation on progressively increasing sizes of the matrices.

2. run_multiple_cpu.sh

   Computes the average matrix-multiplication time (over 5 runs) for each implementation on progressively increasing sizes of the matrices and increasing number of threads.

3. run_scaling.sh

   Computes the average matrix-multiplication time (over 5 runs) for each implementation on a 5000x5000 matrix with increasing number of threads.

Plotting-tools

Some handy plotting tools based on R are provided in the graphics folder