Optimizing and Accelerating Your MATLAB Code

We will demonstrate simple ways to optimize your code that can boost execution speed by orders of magnitude. We will also address common pitfalls in writing MATLAB code, explore the use of the MATLAB Profiler to find bottlenecks, and introduce the use of Parallel Computing Toolbox and MATLAB Parallel Server to solve computationally and data-intensive problems on GPUs, multicore computers and clusters.

Some of the highlights include:
* Understanding vectorization and best coding practices in MATLAB
* Addressing bottlenecks in your programs
* Incorporating compiled languages, such as C, into your MATLAB applications
* Utilizing additional hardware, including multicore processors and GPUS, to improve performance
* Scaling up to a computer cluster, grid environment or cloud

Workshop format: Interactive presentation

Target audience: MATLAB users looking to improve performance and/or parallelize their code.

Knowledge prerequisites: Participants should have some experience with writing MATLAB code.

Hardware/software prerequisites: Please install MATLAB on your laptop by following MATLAB Access for Princeton University. You can also use MATLAB on the Adroit cluster by requesting an account at least a few hours before the workshop. If you have any questions then please reply to this email.

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Co-hosted with: GradFUTURES, PICSciE/Research Computing (OWNER)

Contact the organizers