Certificate of Achievement
has completed the following course:
GPU Programming for Scientific Computing and Beyond
Partnership for Advanced Computing in Europe (PRACE)
This online course explored GPU programming for scientific computing. In particular, it teaches from essential to advanced levels of CUDA programming and the OpenACC programming model. In addition, it includes code optimization, profiling, and tuning the scientific algorithms.
5 weeks, 4 hours per week
Pascal Bouvry
Professor
Partnership for Advanced Computing in Europe (PRACE)
Ezhilmathi Krishnasamy
Postdoctoral researcher
Partnership for Advanced Computing in Europe (PRACE)
Transcript
Learning outcomes
- GPU parallel programming: CUDA and OpenACC programming model; GPU architecture; Efficient implementation of computational linear algebra routines; Running the scientific applications; Code optimization and fine-tuning concerning different architecture.
Syllabus
- CUDA programming
- OpenACC programming
- Code optimisation and tuning
Issued on 7th May 2022
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