Ph.D.-Seminar:

High Performance Computing  I (WS 20/21)

 Under Construction

Contents: 
We will start with an introduction into basic principles and algorithms of parallel computing followed by transferring selected algorithms onto many-core architectures. We will focus first on NVIDIA-GPUs using the CUDA library, even on multiple GPUs. The students will compare the performance of the algorithms on the GPU with performance on multi-core CPUs using OpenMP. Recent Compilers for OpenACC supporting GPU programming will available for testing and benchmarking. A similar programming scheme can be used for the core accelerator card Xeon Phi by using Intel compilers and OpenMP 4.0.
A tech-report has to be produced until the end of the term.

Course Material : Follow the link. See templates.

Compilers:

Lecturer:
Prof. Gundolf Haase, Heinrichstr. 36, Zi 506, Tel. 5178,
e-mail

Appointments:  Friday 14:00 - 15:30 in Heinrichstr. 36, SR 11.32
Projects:
Hardware (login from outside KFU only via  VPN):
Material for CUDA:
Material for OpenACC (PGI):

Material for CUDA:
Software/Compiler/Hardware:
Further Links
 21.10.2020