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This workshop will focus on approaches to porting Matlab applications to a supercomputer environment such as that of ASU's Agave supercomputer. This is not an intro to Matlab course. The intended audience member will have developed Matlab code that runs on a desktop machine but now would like to run this code in a parallel environment. This may be implemented through either:

1. Batch submission of multiple single-threaded instances (e.g. parameter sweep)

2. Multithreading m file using "parfor" command

3. Confronting large datasets using distributed arrays or tall arrays

4. Exploiting Matlab functions ported to GPU

5. Multithreading C-code using OpenMP or writing cuda kernels and compiling with mex compiler to be called by Matlab

6. Introduction to features of the Matlab Parallel Server

In preparation for the workshop all attendees are encouraged to obtain an account on Agave if they do not already have one: https://cores.research.asu.edu/research-computing/get-started/create-an-account