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#Supported compiler matlab 2016a download code
#Supported compiler matlab 2016a download license

The following command might need to be added into your matlab script to help myStandalone.m find files it needs: > addpath my/script/dir % your m-files folder Note that, because myApp.m takes two input parameters - by design rather than mandatory - myStandalone.m retains the same 2 run time input. MyStandalone.m is an optional application-dependent wrapper and is a command function.

If a wrapper is not used, myApp.m must be a command function.

Consult the Restrictions and Limitations section for unsupported commands and toolboxes.

All supportive user m-files must be included for compilation.

% Call user app, myApp (script or function m-file)ĭisp() Nprocs = str2double(nprocs) % convert string N = str2double(n) % convert string to double % In command syntax, both n and nprocs are strings % Must be converted to double for used as double % c) Commandline input (if any) are passed as strings % b) The standalone runs in command syntax only % > myStandalone(2000, 4) % function syntax % a) It must be a function, and it must not have output % to your app so your app remain unchanged. % Purpose: this optionally serves as the front m-file %matlabpool close % close parallel pool for R2013 or olderĭelete(gcp) % close parallel pool for R2014a or newerįprintf(1,'\n\n Iteration count n = %d\n', n) įprintf(1,'\nComputed s = %d Expected s = %d \n\n', s, n*(n+1)/2) % This example uses parfor to compute arithmetic sequence sum

%matlabpool(m圜luster, nslots) % MATLAB R2013b or older Parpool(m圜luster, nslots) % MATLAB R2014a or newer M圜luster.JobStorageLocation = getenv('TMPDIR') % points to TMPDIR If getenv('ENVIRONMENT') % true if this is a batch job

M圜luster = parcluster('local') % cores on compute node are "local" % node to avoid inter-node (compute node login node) I/O % redirects ~/.matlab PCT temp files to system's TMPDIR on compute % Without this procedure, some batch jobs may fail % Especially important for running multiple batch jobs + n = n(n+1)/2\n\n') įprintf(1,'Will use %d threads for parfor operations.\n', nslots) \n') įprintf(1,'Parfor will be used to compute the sum of the arithmetic sequence\n') įprintf(1,'s = 1 + 2 + 3 +. % Compute with the Parallel Computing Toolboxįprintf(1,'\n Test the parallel computing toolbox. % nslots: number of processors in parallel computing

#Supported compiler matlab 2016a download code

% Purpose: runs basic MATLAB commands to simulate user code for a standalone demo Running Standalone executable interactively scc1% qrsh -pe omp 4 scc-pi4% module load mcr/9.0.1_2016a scc-pi4% mcr. Though not required, “R2016a” suffix in the output name indicates MATLAB release used for compilation. -o myExecR2016a specifies the executable name.-mv produces a standalone and shows actions taken.Your wrapper will perform data type conversions (if any) and pass them to the original main for further processing.Ĭompilation scc1% module load matlab/2016a scc1% mcc -mv -o myExecR2016a myStandalone.m myApp.m Any passed string parameter intended as double in the code must be converted with str2double. All runtime input parameters are always passed to the standalone as strings.For many, a wrapper may be more appealing as it enables the original program to be kept completely separate from the corresponding standalone program. You can use either the original main or you create a command function wrapper as the new “main” which in turn calls the original main. The standalone, regardless, will not return any output. The starting, or “main,” program must be a function - with or without returning output.The most important of these are listed below. To be compatible with the MATLAB mcc compiler, your program must meet a few requirements. Hide source code for intellectual property protection.on the SCC cluster - without running into licensing issues.

Using a standalone makes it possible to run these tasks concurrently - e.g.

Embarrassingly parallel applications: Hundreds or thousands of independent runs are common for many applications.

#Supported compiler matlab 2016a download license

Access reliability: Standalone executables never fail due to license availability.Broader distribution: Extend the reach of your program to users who lack a MATLAB license.A standalone executable runs without using a MATLAB license, and has several other benefits. This can be avoided if you compile your MATLAB application into an executable with the MATLAB mcc compiler. If you run MATLAB jobs routinely, you may have had the experience of denied MATLAB access or having your MATLAB batch jobs killed due to unavailable MATLAB licenses.