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Getting Started with Parallel Computing using MATLAB

by Arjav Chakravarti

 

28 Jan 2009 (Updated 30 Jan 2009)

Code covered by BSD License  

Introductory tutorial for running parallel MATLAB applications on multicore desktops or clusters

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Description

This tutorial introduces a MATLAB or Simulink user to The MathWorks parallel computing tools. Through code examples, the user will learn to run parallel MATLAB applications using a multicore desktop computer or a cluster of computers.

Users should expect to complete the provided examples within 1 to 2 hours.

MATLAB release MATLAB 7.7 (R2008b)
Other requirements Parallel Computing Toolbox, MATLAB Distributed Computing Server (optional)
Zip File Content  
Other Files
exampleFiles/,
exampleFiles/getMyJob.m,
exampleFiles/parforExample1.m,
exampleFiles/spmdExample1.m,
exampleFiles/submitJob2a.m,
exampleFiles/submitJob2b.m,
exampleFiles/submitJob2b_spmd.m,
exampleFiles/submitJob3a.m,
exampleFiles/submitJob3b.m,
exampleFiles/submitJob4.m,
exampleFiles/submitJob5.m,
exampleFiles/testBatch.m,
exampleFiles/testParforBatch.m,
exampleFiles/testParforJob.m,
exampleFiles/testSpmdBatch.m,
exampleFiles/testTask.m,
ParallelComputingwithMATLAB.pdf
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Updates
30 Jan 2009

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Tag Activity for this File
Tag Applied By Date/Time
distributed Arjav Chakravarti 29 Jan 2009 16:47:19
parallel Arjav Chakravarti 29 Jan 2009 16:47:19
cluster Arjav Chakravarti 29 Jan 2009 16:47:19
grid Arjav Chakravarti 29 Jan 2009 16:47:19
parallel computing toolbox Arjav Chakravarti 29 Jan 2009 16:47:19
matlab distributed computing server Arjav Chakravarti 29 Jan 2009 16:47:19
embarrassingly parallel Arjav Chakravarti 29 Jan 2009 16:47:19
multiprocessor Arjav Chakravarti 29 Jan 2009 16:47:19
multiprocessing Arjav Chakravarti 29 Jan 2009 16:47:19
task parallel Arjav Chakravarti 29 Jan 2009 16:47:19
data parallel Arjav Chakravarti 29 Jan 2009 16:47:19
multicore Arjav Chakravarti 29 Jan 2009 16:47:19
cluster Drew 08 Feb 2009 02:14:14
 

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