Context and objectifs
An engineer is often involved in the development of computer programs that allow for large, complex but expensive calculations. However, these calculations often encounter physical limitations of computers (e. g., excessive computing time or memory resources) that may make it impossible to carry out the calculation. In addition, these programs are still most often developed sequentially, i.e. they work on a single processor or even a single core. Consequently, they do not take full advantage of the computing power of today's multiprocessor and/or multi-core architectures. Hence, high-performance computing can only be achieved through an fully parallel approach
In the High Performance Computing (HPC) toolobx, students will learn the techniques of algorithm design and parallel programing as well as the tools to make these programs in three different ways: use of graphics processing units (GPUs), multi-core processors and multi-processor clusters.
The pedagogical objectives are: :
· Understanding the basic concepts and paradigms of high-performance computing,
· Being familiar with API (Application Programming Interface) for programming parallel applications
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