QUAD_PARFOR
A Parallel MATLAB Function Using PARFOR

QUAD_PARFOR is a directory which illustrates how a MATLAB function using the PARFOR statement can be run in parallel.

The MATLAB program is a simple function to estimate an integral. A single for statement was replaced by a parfor.

The function has the form:

function value = quad_fun ( n )

• n, is the number of points to use;
• value, is the estimated integral.

Depending on the situation, the function could be executed in parallel:

• interactively, and locally, using the matlabpool command;
• indirectly, and locally, using the batch command;
• indirectly, and on the Ithaca cluster, using the batch command;
• indirectly, and on the FSU HPC cluster, using the fsuClusterMatlab command;

Related Data and Programs:

COLLATZ_PARFOR, a MATLAB program which seeks the maximum Collatz sequence between 1 and N, running in parallel using MATLAB's parfor feature.

HEATED_PLATE_PARFOR, a MATLAB program which solves the steady (time independent) heat equation in a 2D rectangular region, using MATLAB's parfor facility to run in parallel.

HELLO_PARFOR, a MATLAB program which prints out "Hello, world!" multiple times, using MATLAB's parfor command for parallel execution.

HIGH_CARD_PARFOR, a MATLAB program which uses the parfor statement to compute in parallel the statistics for a card game in which you are required to guess the location of the highest card.

MATLAB_PARALLEL, MATLAB programs which illustrate "local" parallel programming on a single computer with MATLAB's Parallel Computing Toolbox.

MATRIX_ASSEMBLE_PARFOR, a MATLAB program which demonstrates the parfor parallel programming feature by assembling the Hilbert matrix in a parallel loop.

MD_PARFOR, a MATLAB program which carries out a molecular dynamics simulation, running in parallel using MATLAB's "PARFOR" feature.

ODE_SWEEP_PARFOR, a MATLAB program which demonstrates how the PARFOR command can be used to parallelize the computation of a grid of solutions to a parameterized system of ODE's.

PRIME_PARFOR, a MATLAB program which counts the number of primes between 1 and N; running in parallel using MATLAB's "PARFOR" feature.

QUAD_SERIAL, a MATLAB program which approximates an integral using a quadrature rule, and is intended as a starting point for parallelization exercises.

QUAD_SPMD, a MATLAB program which estimates an integral using quadrature; running in parallel using MATLAB's "SPMD" feature.

SATISFY_PARFOR, a MATLAB program which demonstrates, for a particular circuit, an exhaustive search for solutions of the circuit satisfiability problem, running in parallel using MATLAB's "PARFOR" feature.

SPARSE_PARFOR, a MATLAB library which demonstrates how a sparse matrix can be constructed by evaluating individual blocks in parallel with the parfor command, and then assembled (on a single processor) using the sparse() command.

Reference:

The User's Guide for the Parallel Computing Toolbox is available at http://www.mathworks.com/access/helpdesk/help/pdf_doc/distcomp/distcomp.pdf

• Gaurav Sharma, Jos Martin,
  MATLAB: A Language for Parallel Computing,
  International Journal of Parallel Programming,
  Volume 37, Number 1, pages 3-36, February 2009.

Source Code:

• quad_fun.m the function which performs the computations.

Examples and Tests:

QUAD_POOL executes the function locally and interactively:

• quad_pool.m a script which uses the MATLABPOOL command to run the function locally and interactively.
• quad_pool_output.txt the output file.

QUAD_BATCH_LOCAL executes the function locally and noninteractively:

• quad_script.m a script which calls the function, necessary for the BATCH command.
• quad_batch_local.m a script which uses the BATCH command to run the function indirectly and locally.

QUAD_FSU executes the function on the FSU HPC cluster:

• quad_fsu.m a script which uses the fsuClusterMatlab command to run the function indirectly on the FSU HPC cluster.

QUAD_ITHACA executes the function on the Virginia Tech Ithaca cluster:

• quad_fsu.m a script which runs the function on the Virginia Tech Ithaca cluster.

You can go up one level to the MATLAB source codes.