The course provides an introduction to the programming language CUDA which is used to write fast numeric algorithms for NVIDIA graphics processors (GPUs). Focus is on the basic usage of the language, the exploitation of the most important features of the device (massive parallel computation, shared memory, texture memory) and efficient usage of the hardware to maximize performance. An overview of the available development tools and the advanced features of the language is given. This course provides scientific training in Computational Science, and in addition, the scientific exchange of the participants among themselves.
1st day: 12:30 - 13:00 local registration, 13:00 - 18:00 course
2nd day: 9:00 - 18:00 course
3rd day: 9:00 - 16:00 course
Programming experience in C, some knowledge about parallel programming
Amer Wafai and Stephan Walter from HLRS.
Each participant will get a paper copy of all slides.
for registration is Feb. 28, 2016 (extended deadline).
Students without Diploma/Master: 30 EUR.
Students with Diploma/Master (PhD students) at German universities: 60 EUR.
Members of German universities and public research institutes: 60 EUR.
Members of universities and public research institutes within EU or PRACE member countries: 120 EUR.
Members of other universities and public research institutes: 240 EUR.
Others: 600 EUR.
(includes coffee breaks)
see our How to find us page.
HLRS is part of the Gauss Centre for Supercomputing (GCS), which is one of the six PRACE Advanced Training Centres (PATCs) that started in Feb. 2012.
HLRS is also member of the Baden-Württemberg initiative bwHPC-C5.
This course is provided within the framework of the bwHPC-C5 user support. This course is not part of the PATC curriculum and is not sponsored by the PATC program.