Matlab

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[[Image:Matlab.jpg]]
 
  
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== Creating an Account for Matlab ==
 
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[[Image:Create_account_0.jpg|thumb|(fg.1) Click on this image for the visual location of the create account option on the Mathworks homepage.]]
 
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[[Image:Create_account_2.jpg|thumb|(fg.2) Click on this image for more information for creating an account]]
 
  
 +
[[Image:Matlab.jpg|right]]
 +
=How to use Matlab on CVL=
 +
'''[[Using the CVL|Log in]]''' to the CVL Workstations.
 +
<br><br>Type the following command
 +
  matlab
  
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Go to [http://www.mathworks.com/ Mathwork's home page] (fg.1) and click on create account.
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=General Information about Matlab=
 +
MatLab is a program developed by MathWorks Incorporated. This program provides a high-level language and interactive environment that enables
 +
you to perform computationally intensive tasks faster than with traditional programming languages such as C, C++, and Fortran.
  
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Once you have reached the create account page fill out the E-mail and Password information using your PID (ex.johnsmith@vt.edu) and password. Also fill out the box entitled County/Software Usage Information and select USA for Country/Region and Academic Use on a University Computer for software use. Finally fill out all of the contact information and submit (fg.2)
+
'''The "Toolboxes" that the Virginia Tech license offers are:'''
−
[[Image:Create_account_1.jpg]]
+
*Simulink
 +
*Aerospace Blockset
 +
*Aerospace Toolbox
 +
*Bioinformatics Toolbox
 +
*Communications System Toolbox
 +
*Computer Vision System Toolbox
 +
*Control System Toolbox
 +
*Curve Fitting Toolbox
 +
*DSP System Toolbox
 +
*Data Acquisition Toolbox
 +
*Database Toolbox
 +
*Embedded Coder
 +
*Fixed-Point Toolbox
 +
*Fuzzy Logic Toolbox
 +
*Global Optimization Toolbox
 +
*HDL Coder
 +
*Image Acquisition Toolbox
 +
*Image Processing Toolbox
 +
*Instrument Control Toolbox
 +
*LMI Control Toolbox (Transitioned) 
 +
*MATLAB Builder NE
 +
*MATLAB Coder
 +
*MATLAB Compiler
 +
*MATLAB® C/C++ Math Library (Transitioned) 
 +
*Mapping Toolbox
 +
*Mu-Analysis and Synthesis Toolbox (Transitioned) 
 +
*Neural Network Toolbox
 +
*Optimization Toolbox
 +
*Parallel Computing Toolbox
 +
*Partial Differential Equation Toolbox
 +
*Robust Control Toolbox
 +
*Signal Processing Toolbox
 +
*SimBiology
 +
*SimElectronics
 +
*SimEvents
 +
*SimMechanics
 +
*SimPowerSystems
 +
*Simscape
 +
*Simulink 3D Animation
 +
*Simulink Coder
 +
*Simulink Control Design
 +
*Simulink Fixed Point
 +
*Spline Toolbox (Transitioned) 
 +
*Spreadsheet Link EX
 +
*Stateflow
 +
*Stateflow Coder (Transitioned) 
 +
*Statistics Toolbox
 +
*Symbolic Math Toolbox
 +
*System Identification Toolbox
 +
*Wavelet Toolbox
 +
*xPC Target
  
−
Finally fill out all of the contact information and submit (fg.2)
 
  
 +
'''Toolboxes that have been integrated with other Toolboxes:'''
  
 +
<br>The Robust Control Toolbox has merged with the following toolboxes
 +
* Mu-Analysis and Synthesis
 +
* LMI Control
  
 +
=Installing Matlab=
  
 +
Email support@ece.vt.edu for installation directions.
  
 +
==Installing Matlab on Linux/UNIX==
  
 +
*This Section is under construction.
  
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==Associating Your Account With a License==
+
==Installing Matlab on MAC OSX==
−
'''Disclaimer: The information for Creating an account and associating it with a license is for Virgina Tech faculty only. Students must use their version of Matlab or use the CVL in order to use Matlab.'''
+
  
 +
==Using the MPI parallel toolbox==
 +
The CVL lab has installed a toolbox that simplifies parallelizing matlab code.  This is the location of the [http://einar.heiberg.se/mpi/index.html Matlab Parallelization Toolkit].  It utilizes a Master/Slave arrangement to automatically login to multiple machines and have them individually run parts of a matlab script.  The majority of the setup and configuration has been done on all of the CVL machines, but it is not in your matlab path by default. 
  
 +
*In order to access the MPI toolbox, you must manually add the directory '/software/MPI' to your path, either with the matlab path GUI, or with the command
 +
addpath /software/MPI
 +
*Once this is done, more information on how to operate the toolkit can be obtained by typing
 +
help MPI from the matlab command window.
  
 +
*The [http://computing.ece.vt.edu/MPI/example2.m following] is an example of how to implement the toolbox in matlab code
  
 +
%This part defines how many nodes to try to use
 +
%connects to available machines, and fires a Matlab slave node
 +
addpath /software/MPI
 +
%addpath /software/MPI_VAL32
 +
 +
%Read the config file set up for the cluster
 +
mconfig = pconfig;
 +
%Use all the machines available
 +
Nparallel = length(mconfig);
 +
%Run this many MATLAB processes per machine.  This should be set to 1 to
 +
%make resources available for others.
 +
Nperhost = 1;
 +
 +
%Fire up matlab on the slaves.  It may be worth using the load-checking
 +
%version of psetup('available', Nparallel*Nperhost);
 +
for j=1:Nparallel
 +
    psetup(mconfig{j}{1}, Nperhost);
 +
end
 +
 +
 +
%A example of a data set to chew on
 +
a = rand(64, 64, 32);
 +
res = zeros(size(a));
 +
 +
%Run a parallel profiler on the code to be run to see how much speedup there was (optional)
 +
pprofile on -detail builtin
 +
 +
%The main parallel loop.
 +
%It executes the function 'exampleloop.m'
 +
pfor(1:size(a, 3), 'res(:, :, %d) = exampleloop(a(:, :, %d));');
 +
 +
%Finish the parallel profile stats collection
 +
s = pprofile('report');
 +
 +
 +
%Once the main computation is done, shut-down all the slave Matlab nodes
 +
MPI_Finalize;
  
 +
[http://computing.ece.vt.edu/MPI/exampleloop.m Here's] a functional example of an 'exampleloop.m' matlab function
 +
function out = exampleloop(in)
 +
 +
tempout = in
 +
N=10000;
 +
for i=1:N
 +
    tempout = inv(tempout) + rand(size(tempout));
 +
end
 +
out = tempout
  
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==Additional Links==
 
  
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[http://www.mathworks.com/ Matlab home page]
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One important point to note is that a portion of the MPI toolbox library must be compiled for the platform it's being run on.  This has already been done for most of the CVL machines being run as 64-bit Linux.  If the toolbox is to be used on a 32-bit Linux installation, a the [http://computing.ece.vt.edu/MPI/MPI121_CVL.tar.gz MPI library] will have to be installed into your home directory (or somehwere else you have write permission).  It will also have to be added to your matlab path, and
 +
makeMPI
 +
must be issued from the matlab command prompt.  The matlab installation must include mex, mcc, gcc, and g++ compiler properly installed.
 +
 
 +
 
 +
==Help==
 +
 
 +
For any additional questions, comments, or concerns contact your system administrator or post a ticket on [https://helpdesk.ece.vt.edu/helpdesk/index.php Help Desk].
 +
 
 +
=Additional Links=
 +
 
 +
[http://www.mathworks.com/ Mathworks home page]
 +
<br>[http://www.mathworks.com/academia/student_center/tutorials/launchpad.html Matlab Tutorials]
 +
<br>[http://en.wikipedia.org/wiki/MATLAB Additional information about Matlab]
 +
<br>[http://www.gnu.org/software/octave/octave.html Octave] A Free alternative to Matlab

Latest revision as of 10:42, 3 December 2015


Matlab.jpg

Contents

[edit] How to use Matlab on CVL

Log in to the CVL Workstations.

Type the following command 

  matlab

[edit] General Information about Matlab

MatLab is a program developed by MathWorks Incorporated. This program provides a high-level language and interactive environment that enables you to perform computationally intensive tasks faster than with traditional programming languages such as C, C++, and Fortran.

The "Toolboxes" that the Virginia Tech license offers are:

  • Simulink
  • Aerospace Blockset
  • Aerospace Toolbox
  • Bioinformatics Toolbox
  • Communications System Toolbox
  • Computer Vision System Toolbox
  • Control System Toolbox
  • Curve Fitting Toolbox
  • DSP System Toolbox
  • Data Acquisition Toolbox
  • Database Toolbox
  • Embedded Coder
  • Fixed-Point Toolbox
  • Fuzzy Logic Toolbox
  • Global Optimization Toolbox
  • HDL Coder
  • Image Acquisition Toolbox
  • Image Processing Toolbox
  • Instrument Control Toolbox
  • LMI Control Toolbox (Transitioned) 
  • MATLAB Builder NE
  • MATLAB Coder
  • MATLAB Compiler
  • MATLAB® C/C++ Math Library (Transitioned) 
  • Mapping Toolbox
  • Mu-Analysis and Synthesis Toolbox (Transitioned) 
  • Neural Network Toolbox
  • Optimization Toolbox
  • Parallel Computing Toolbox
  • Partial Differential Equation Toolbox
  • Robust Control Toolbox
  • Signal Processing Toolbox
  • SimBiology
  • SimElectronics
  • SimEvents
  • SimMechanics
  • SimPowerSystems
  • Simscape
  • Simulink 3D Animation
  • Simulink Coder
  • Simulink Control Design
  • Simulink Fixed Point
  • Spline Toolbox (Transitioned) 
  • Spreadsheet Link EX
  • Stateflow
  • Stateflow Coder (Transitioned) 
  • Statistics Toolbox
  • Symbolic Math Toolbox
  • System Identification Toolbox
  • Wavelet Toolbox
  • xPC Target


Toolboxes that have been integrated with other Toolboxes:


The Robust Control Toolbox has merged with the following toolboxes

  • Mu-Analysis and Synthesis
  • LMI Control

[edit] Installing Matlab

Email support@ece.vt.edu for installation directions.

[edit] Installing Matlab on Linux/UNIX

  • This Section is under construction.

[edit] Installing Matlab on MAC OSX

[edit] Using the MPI parallel toolbox

The CVL lab has installed a toolbox that simplifies parallelizing matlab code. This is the location of the Matlab Parallelization Toolkit. It utilizes a Master/Slave arrangement to automatically login to multiple machines and have them individually run parts of a matlab script. The majority of the setup and configuration has been done on all of the CVL machines, but it is not in your matlab path by default.

  • In order to access the MPI toolbox, you must manually add the directory '/software/MPI' to your path, either with the matlab path GUI, or with the command 
addpath /software/MPI
  • Once this is done, more information on how to operate the toolkit can be obtained by typing 
help MPI from the matlab command window.
  • The following is an example of how to implement the toolbox in matlab code 
%This part defines how many nodes to try to use
%connects to available machines, and fires a Matlab slave node
addpath /software/MPI
%addpath /software/MPI_VAL32

%Read the config file set up for the cluster
mconfig = pconfig;
%Use all the machines available
Nparallel = length(mconfig);
%Run this many MATLAB processes per machine.  This should be set to 1 to
%make resources available for others.
Nperhost = 1;

%Fire up matlab on the slaves.  It may be worth using the load-checking
%version of psetup('available', Nparallel*Nperhost);
for j=1:Nparallel
    psetup(mconfig{j}{1}, Nperhost);
end


%A example of a data set to chew on
a = rand(64, 64, 32);
res = zeros(size(a));

%Run a parallel profiler on the code to be run to see how much speedup there was (optional)
pprofile on -detail builtin

%The main parallel loop.
%It executes the function 'exampleloop.m'
pfor(1:size(a, 3), 'res(:, :, %d) = exampleloop(a(:, :, %d));');

%Finish the parallel profile stats collection
s = pprofile('report');


%Once the main computation is done, shut-down all the slave Matlab nodes
MPI_Finalize;

Here's a functional example of an 'exampleloop.m' matlab function 

function out = exampleloop(in)

tempout = in
N=10000;
for i=1:N
    tempout = inv(tempout) + rand(size(tempout));
end
out = tempout


One important point to note is that a portion of the MPI toolbox library must be compiled for the platform it's being run on. This has already been done for most of the CVL machines being run as 64-bit Linux. If the toolbox is to be used on a 32-bit Linux installation, a the MPI library will have to be installed into your home directory (or somehwere else you have write permission). It will also have to be added to your matlab path, and 

makeMPI

must be issued from the matlab command prompt. The matlab installation must include mex, mcc, gcc, and g++ compiler properly installed.


[edit] Help

For any additional questions, comments, or concerns contact your system administrator or post a ticket on Help Desk.

[edit] Additional Links

Mathworks home page
Matlab Tutorials
Additional information about Matlab
Octave A Free alternative to Matlab

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