Optimizing and Accelerating your MATLAB Code

In this session, we will demonstrate simple ways to improve and 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

Presenter(s):
Harish Chintakunta, Senior Customer Success Engineer, Mathworks

Registration link: 
https://ucf.qualtrics.com/jfe/form/SV_etjIzlWIJ7ZLyNE

Research Computing and Data Workshops Series
We are pleased to bring to the UCF Research community a series of workshops on scientific computing and research data management. These workshops are being jointly presented by UCF Libraries, UCF Graduate and Research IT, and UCF Advanced Research Computing Center (ARCC), and will feature some guest speakers from the broader research community. This series also includes Software and Data Carpentries workshops (http://carpentries.org) which have been made possible through the sponsorship of Office of Research.

Upcoming Workshops
For the complete line-up of upcoming Research Computing and Data Workshops, please visit: https://rci.research.ucf.edu/workshops.

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