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<html>
<head>
<title>
LYRICS_REMOTE - Remote Execution of a Parallel MATLAB Program
</title>
</head>
<body bgcolor="#EEEEEE" link="#CC0000" alink="#FF3300" vlink="#000055">
<h1 align = "center">
LYRICS_REMOTE <br>
Remote Execution of a Parallel MATLAB Program
</h1>
<hr>
<p>
<b>LYRICS_REMOTE</b>
is a directory of MATLAB programs which
illustrate how to submit a parallel MATLAB program to run on a remote
machine.
</p>
<p>
Before remote submission of jobs is possible, you must have an account on
the remote machine, and go through some steps to ensure that that machine
and your desktop machine can communicate properly. If you have not
carried out these steps, refer to the document
<i>"Notes on Enabling Remote Submission of MATLAB Jobs"</i> listed
in the references below.
</p>
<p>
This program is an example of how parallel MATLAB can be used to set up a
systolic array of workers, that is, a set of cooperating processes, for
which the output of worker 1 goes to worker 2 for further processing, and so on.
</p>
<p>
The <i>systtolicLyricsFilter.m</i> code uses a systolic array of three tasks
to filter an audio file. The original file, <i>mjam.wav</i>, has a song
with a few spoken words (by Cleve Moler) superposed. The filtered version
removes the spoken words from the sound track. This is an example from the
MathWorks DC01 course on Parallel Processing.
</p>
<h3 align = "center">
Usage:
</h3>
<p>
Start up MATLAB on your desktop.
Then, at the MATLAB prompt, type
<blockquote>
<b>systolic_local</b>
</blockquote>
to run the program locally, on your desktop machine, or
<blockquote>
<b>systolic_ithaca</b>
</blockquote>
to have the program sent to ITHACA for execution.
</p>
<h3 align = "center">
Languages:
</h3>
<p>
<b>LYRICS_REMOTE</b> is available in
<a href = "../../m_src/lyrics_remote/lyrics_remote.html">a MATLAB version</a>.
</p>
<h3 align = "center">
Related Data and Programs:
</h3>
<p>
<a href = "../../m_src/birthday_remote/birthday_remote.html">
BIRTHDAY_REMOTE</a>,
a MATLAB program which
runs a Monte Carlo simulation of the birthday paradox, and includes
instructions on how to run the job, via MATLAB's BATCH facility,
on a remote system such as Virginia Tech's ITHACA cluster.
</p>
<p>
<a href = "../../m_src/cell_detection_tasks/cell_detection_tasks.html">
CELL_DETECTION_TASKS</a>,
a MATLAB program which
creates modified versions of a sequence of gray-scale TIF files containing
images of cells; the process of each file is carried out independently,
using the "task" feature of MATLAB's parallel computing toolbox.
</p>
<p>
<a href = "../../m_src/cg_distributed/cg_distributed.html">
CG_DISTRIBUTED</a>,
a MATLAB program which
implements a version of the NAS CG conjugate gradient benchmark,
using distributed memory.
</p>
<p>
<a href = "../../m_src/collatz_parfor/collatz_parfor.html">
COLLATZ_PARFOR</a>,
a MATLAB program which
seeks the maximum Collatz sequence between 1 and N,
running in parallel using MATLAB's "PARFOR" feature.
</p>
<p>
<a href = "../../m_src/color_remote/color_remote.html">
COLOR_REMOTE</a>,
a MATLAB program which
carries out the color segmentation of an image in parallel,
via SPMD commands; this includes instructions on how to run the job,
via MATLAB's BATCH facility,
on a remote system such as Virginia Tech's ITHACA cluster.
</p>
<p>
<a href = "../../m_src/contrast_spmd/contrast_spmd.html">
CONTRAST_SPMD</a>,
a MATLAB program which
demonstrates the SPMD parallel programming feature for image operations;
the client reads an image, the workers increase contrast over separate portions, and
the client assembles and displays the results.
</p>
<p>
<a href = "../../m_src/contrast2_spmd/contrast2_spmd.html">
CONTRAST2_SPMD</a>,
a MATLAB program which
demonstrates the SPMD parallel programming feature for image operations;
this improves the contrast_spmd program by allowing the workers to share some
data; this makes it possible to eliminate artificial "seams" in the processed
image.
</p>
<p>
<a href = "../../m_src/fd2d_heat_explicit_spmd/fd2d_heat_explicit_spmd.html">
FD2D_HEAT_EXPLICIT_SPMD</a>,
a MATLAB program which
uses the finite difference method and explicit time stepping
to solve the time dependent heat equation in 2D. A black and white image
is used as the "initial condition". MATLAB's SPMD facility is used to
carry out the computation in parallel.
</p>
<p>
<a href = "../../m_src/fmincon_parallel/fmincon_parallel.html">
FMINCON_PARALLEL</a>,
a MATLAB program which
demonstrates the use of MATLAB's FMINCON constrained minimization
function, taking advantage of MATLAB's Parallel Computing Toolbox
for faster execution.
</p>
<p>
<a href = "../../m_src/image_denoise_spmd/image_denoise_spmd.html">
IMAGE_DENOISE_SPMD</a>,
a MATLAB program which
demonstrates the SPMD parallel programming feature for image operations;
the client reads an image, the workers process portions of it, and
the client assembles and displays the results.
</p>
<p>
<a href = "../../m_src/linear_solve_distributed/linear_solve_distributed.html">
LINEAR_SOLVE_DISTRIBUTED</a>,
a MATLAB program which
solves a linear system <b>A*x=b</b> using MATLAB's <b>spmd</b> facility,
so that the matrix <b>A</b> is "distributed" across multiple MATLAB workers.
</p>
<p>
<a href = "../../m_src/matlab_commandline/matlab_commandline.html">
MATLAB_COMMANDLINE</a>,
MATLAB programs which
illustrate how MATLAB can be run from the UNIX command line, that is,
not with the usual MATLAB command window.
</p>
<p>
<a href = "../../m_src/matlab_distcomp/matlab_distcomp.html">
MATLAB_DISTCOMP</a>,
a MATLAB program which
remotely runs a set of 5 jobs on the Ithaca cluster.
These jobs are equivalent to the BIRTHDAY_REMOTE, COLOR_REMOTE,
KNAPSACK_REMOTE, LYRICS_REMOTE and MD_REMOTE jobs.
</p>
<p>
<a href = "../../m_src/matlab_parallel/matlab_parallel.html">
MATLAB_PARALLEL</a>,
MATLAB programs which
illustrate "local" parallel programming on a single computer
with MATLAB's Parallel Computing Toolbox.
</p>
<p>
<a href = "../../m_src/matlab_remote/matlab_remote.html">
MATLAB_REMOTE</a>,
MATLAB programs which
illustrate the use of remote job execution, in which a desktop copy of
MATLAB sends programs and data to a remote machine for execution.
Included is information needed to properly configure the local machine.
</p>
<p>
<a href = "../../m_src/md_parfor/md_parfor.html">
MD_PARFOR</a>,
a MATLAB program which
carries out a molecular dynamics simulation,
running in parallel using MATLAB's "PARFOR" feature.
</p>
<p>
<a href = "../../m_src/ode_sweep_parfor/ode_sweep_parfor.html">
ODE_SWEEP_PARFOR</a>,
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.
</p>
<p>
<a href = "../../m_src/plot_spmd/plot_spmd.html">
PLOT_SPMD</a>,
a MATLAB library which
demonstrates the SPMD parallel programming feature, by having a number
of labs compute parts of a sine plot, which is then displayed by the
client process.
</p>
<p>
<a href = "../../m_src/prime_parfor/prime_parfor.html">
PRIME_PARFOR</a>,
a MATLAB program which
counts the number of primes between 1 and N;
running in parallel using MATLAB's "PARFOR" feature.
</p>
<p>
<a href = "../../m_src/prime_spmd/prime_spmd.html">
PRIME_SPMD</a>,
a MATLAB program which
counts the number of primes between 1 and N;
running in parallel using MATLAB's "SPMD" feature.
</p>
<p>
<a href = "../../m_src/quad_parfor/quad_parfor.html">
QUAD_PARFOR</a>,
a MATLAB program which
estimates an integral using quadrature;
running in parallel using MATLAB's "PARFOR" feature.
</p>
<p>
<a href = "../../m_src/quad_spmd/quad_spmd.html">
QUAD_SPMD</a>,
a MATLAB program which
estimates an integral using quadrature;
running in parallel using MATLAB's "SPMD" feature.
</p>
<p>
<a href = "../../m_src/quad_tasks/quad_tasks.html">
QUAD_TASKS</a>,
a MATLAB program which
estimates an integral using quadrature;
running in parallel using MATLAB's "TASK" feature.
</p>
<p>
<a href = "../../m_src/random_walk_2d_avoid_tasks/random_walk_2d_avoid_tasks.html">
RANDOM_WALK_2D_AVOID_TASKS</a>,
a MATLAB program which
computes many self avoiding random walks in 2D by creating a job which
defines each walk as a task, and then computes these independently
using MATLAB's Parallel Computing Toolbox task computing capability.
</p>
<p>
<a href = "../../m_src/satisfy_parfor/satisfy_parfor.html">
SATISFY_PARFOR</a>,
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.
</p>
<p>
<a href = "../../m_src/subset_sum_tasks/subset_sum_tasks.html">
SUBSET_SUM_TASKS</a>,
a MATLAB program which
solves a subset sum problem by exhaustive search,
subdividing the search range among separate tasks.
</p>
<h3 align = "center">
Reference:
</h3>
<p>
The User's Guide for the Parallel Computing Toolbox is available at
<a href = "http://www.mathworks.com/access/helpdesk/help/pdf_doc/distcomp/distcomp.pdf">
http://www.mathworks.com/access/helpdesk/help/pdf_doc/distcomp/distcomp.pdf</a>
</p>
<p>
<ul>
<li>
Gaurav Sharma, Jos Martin,<br>
MATLAB: A Language for Parallel Computing,<br>
International Journal of Parallel Programming,<br>
Volume 37, Number 1, pages 3-36, February 2009.
</li>
</ul>
</p>
<h3 align = "center">
Examples and Tests:
</h3>
<p>
<ul>
<li>
<a href = "bass_filter.mat">bass_filter.mat</a>
data needed to define the bass filter.
</li>
<li>
<a href = "filterSimple.m">filterSimple.m</a>
applies a filter to a signal.
</li>
<li>
<a href = "lyricsFilter.m">lyricsFilter.m</a>
filters lyrics from a music clip.
</li>
<li>
<a href = "mjam.wav">mjam.wav</a>
the audio file that is to be filtered.
</li>
<li>
<a href = "parLyricsFilter.m">parLyricsFilter.m</a>
creates a parallel job to run the systolic lyrics filter.
</li>
<li>
<a href = "systolicLyricsFilter.m">systolicLyricsFilter.m</a>
is the program which implements the systolic version of the lyrics filter.
</li>
<li>
<a href = "systolic_ithaca.m">systolic_ithaca.m</a>
submits the program for execution on Ithaca.
</li>
<li>
<a href = "systolic_local.m">systolic_local.m</a>
runs the program locally.
</li>
</ul>
</p>
<p>
You can go up one level to <a href = "../m_src.html">
the MATLAB source codes</a>.
</p>
<hr>
<i>
Last revised on 31 October 2009.
</i>
<!-- John Burkardt -->
</body>
</html>