The SLURM script "calPi.slurm" includes a request for one processor (-n 1) and 2 hours of wall time. MATLAB script "fixedmontecarlo.m" calculates the value of PI using Monte Carlo method. The sample and auxiliary files for all applications are located at /usr/local/doc/ for MATLAB, it is /usr/local/doc/MATLABĬp /usr/local/doc/MATLAB/fixedmontecarlo.m. Parallel Computing Toolbox Version 6.7 (R2015b)Ĭopy the sample MATLAB script "fixedmontecarlo.m" and SLURM script "calPi.slurm (included below)" to your home directory. MATLAB Distributed Computing Server Version 6.7 (R2015b) Java Version: Java 1.7.0_60-b19 with Oracle Corporation Java HotSpot(TM) 64-Bit Server VM mixed mode Use -singleCompThread flag if you are running a serial/distributed job.Ĭheck the version info and toolboxes availalble for that version. Add -nodisplay flag if you do not want GUI. (Note: For better GUI experience, find the details at HPC Visual Access) If you need to use commands in startup, create a startup.m file in the userpath folder, which is on the MATLAB search path.
It has been left blank for the default resources. p gpufermi -gres=gpu:2) inside the quotes for both Independent and Communicating functions. ttings), please include the appropriate slurm arguments (e.g. Each MDCS worker is going to checkout 1 MDCS license.
Please use minimum workers to run your job considering the available MDCS licenses. If possible, use MATLAB C Compiler (MCC) capability as described in MCC section below so as to run MATLAB job without checking out MATLAB licenses. If a MATLAB script involves multiple functions and a function compiled as a mex file in non HPC environment (e.g your PC), you need to compile the mex file in the cluster first.Ĭreate separate directories for different versions of MATLAB e.g.
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You will encounter license error if there are not enough licences to run your job. Your job may prematurely exit if the requested memory is not enough. Refer to Memory Management and License Management sections in this document regarding memory and license information. GPU support by release is available here (e.g. If you have issues running the sample examples, please refer to MATLAB site. MATLAB may have slight changes in different versions.