MATLAB WORKSHOP: Scaling Algorithms and Simulations Using Parallel Computing
Computationally intensive tasks, processing large volumes of data, and repeated simulation runs are everyday challenges in both science and industry. Modern approaches make it possible to significantly accelerate these processes by leveraging parallel computing and available hardware resources – from multiple CPU cores to GPU acceleration. MATLAB and Simulink offer a wide range of possibilities to efficiently utilize these resources without the need for specialized knowledge of GPU programming or complex HPC solutions.
As part of the upcoming workshop in the MATLAB Parallel Computing Roadshow series, we will demonstrate how algorithms and simulations can be scaled using parallel computing. Participants will gain a practical overview of MATLAB’s capabilities, from code optimization and computation parallelization to accessing remote computing clusters. The workshop will also provide space for questions, discussion, and sharing experiences.
Date: October 28, 2025, 9:00 – 12:00
Venue: Online
Speaker: Michal Blaho
Program
- Code optimization for faster execution
- Automatic support for parallel computing
- Parallelization of loops with independent iterations
- Using GPU for accelerating MATLAB code
- Parallel execution of simulations in Simulink
- Working with large-scale data (Big Data)
- Access to remote HPC environments
- Discussion and Q&A
Practical information
The workshop is intended for all participants who wish to get hands-on experience with parallel computing in MATLAB and Simulink. Participants will run examples utilizing multiple CPUs and GPUs. We recommend bringing your own laptop and checking in advance the availability of multiple CPUs and a GPU. If your device does not support these options, we will try to provide an alternative solution.
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