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== Team Member ==
# [mailto:rlanderson@senecacollege.ca?subject=dps921 Rene Anderson]
== Intro ==
For this assignment I will be focusing on the Linear Algebra routines. I will use workshop six to demonstrate how BLAS can be used to significantly speed
up the calculations and compare them to other parallelization methods.
<u>Compared to</u>
#Serial
#Cilk
#Cilk with array notation and reduction
#Cilk with SIMD and reduction
#MKL CBLAS level 3
#CUDA CUBLAS level 3
#TBB
#OpenMP
'''Intel Math Kernel Library'''
This means that developers would have to make minor changes to their programs when
switching to MKL.
Intel MKL is also compatible with your choice of compilers, languages, operating systems, linking and threading models. One library solution across multiple environments means only one library to learn and manage.
'''Linear Algebra'''
#BLAS Level 3 matrix-matrix
'''How to enable Intel MKL'''
<u>#include <mkl.h></u> <u>Command line</u>
#-mkl
#-mkl=parallel to link with standard threaded Intel MKL.
#-mkl=sequential to link with sequential version of Intel MKL.
#-mkl=cluster to link with Intel MKL cluster components (sequential) that use Intel MPI.
<u>Microsoft Visual Studio</u>
project properties->Intel Performance Libraries->Intel Math Kernel Library
[[File:mkl.png]]
'''Fig 1 - Enable MKL'''
== Source code ==
[[File:mklcode.png]]
'''Fig 2 - MKL'''
[[File:TBB.png]]
'''Fig 3 - TBB'''
[[File:cuda.png]]
'''Fig 4 - CUDA'''
[[File:omp.png]]
'''Fig 5 - OpenMP'''
== Useful Link ==
# https://software.intel.com/en-us/intel-mkl/details
# https://software.intel.com/en-us/node/468380
# https://software.intel.com/sites/default/files/managed/4a/d6/mkl_11.2.1_lnx_userguide.pdf
== Progress ==
[[File:Data.png]]
'''Fig 6 - Recorded times'''
[[File:rlachart.png]]
'''Fig 7 - Graph of times'''
