Come explore how to accelerate your research and engineering by maximum utilization of available compute infrastructure. Learn how to utilize the newly launched A*CRC PILOT PROGRAMME ON MATLAB PARALLEL SERVER for your large scale computational needs.
During the seminar, we will provide you with a high-level overview of key parallel computing capabilities in MATLAB and have an in-depth discussion with Engineering case studies.
Seminar Overview
Complex datasets or analyses, such as large engineering applications or high dimensional omics studies, are often computationally intensive. MATLAB with its Parallel Computing Toolbox™ helps you take advantage of multicore computers and GPUs to speed up your applications. With MATLAB, parallelism can be achieved with minimal programming efforts through built in capabilities such as parallel for-loops, specialized array types like tall arrays, parallel-enabled functions, and batch jobs.
Furthermore, MATLAB Parallel Server on High Performance Computing systems present in A*STAR (A*CRC), NUS and NTU can be used to scale up computations for demanding work by all staffs and students at these organizations.
In this seminar, key parallel computing capabilities will be demonstrated as outlined below.
Highlights of Demos:
- Engineering case study based on real world data relating to engine performance
- Prepare scripts with Parallel Computing Toolbox™ before moving to a HPC cluster
- Reading & pre-processing data from multiple files
- Local & global optimization for curve fitting
- Use of machine learning & deep learning for classification
- Use of built-in apps to minimize coding
