Teaching

Processors with multiple cores are already very widespread today. Examples of such architectures include modern graphics processors, which can consist of up to 4608 so-called streaming processors and 576 tensor computing units. Multi-core processors have a very high theoretical computing power and therefore open up fascinating new possibilities in scientific and other computationally intensive areas, such as multimedia applications, medical technology or finance. However, in order to fully exploit this performance, an efficient mapping of algorithms to the architecture of the respective multi-core processor must be found. Compared to traditional single-core processors, this often requires a radical rethink in programming. The aim of the seminar is to provide insights into state-of-the-art multi-core architectures, e.g. AI accelerators, and their programming paradigms. To gain practical development experience, NVIDIA TITAN RTX, Intel Neural Compute Sticks and Tegra AGX systems are offered, among others. The latest software development tools (TensorRT, OpenVINO, C++ 20, SYCL, CUDA, OpenCL, OpenMP + MPI) are available for project work in the team.

This lecture deals with the implementation of algorithms in hard and software and the processing of data with the help of computers.