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BEGIN:VEVENT
DTSTAMP:20260705T143017Z
UID:f49a0261-8d79-4704-8402-62b464415eb0
DTSTART:20201207T080000Z
DTEND:20201211T120000Z
DESCRIPTION:GPU-accelerated computing drives current scientific research. W
 riting fast numeric algorithms for GPUs offers high application performanc
 e by offloading compute-intensive portions of the code to an NVIDIA GPU. T
 he course will cover basic aspects of GPU architectures and programming. F
 ocus is on the usage of the parallel programming language CUDA-C which all
 ows maximum control of NVIDIA GPU hardware. Examples of increasing complex
 ity will be used to demonstrate optimization and tuning of scientific appl
 ications.\n\nTopics covered will include:\n\n\n	Introduction to GPU/Parall
 el computing\n	Programming model CUDA\n	GPU libraries like CuBLAS and CuFF
 T\n	Tools for debugging and profiling\n	Performance optimizations\n\n\nPre
 requisites: Some knowledge about Linux\, e.g. make\, command line editor\,
  Linux shell\, experience in C/C++\n\nDates:\n7-11 December 2020\, 09:00-1
 3:00 each day\n\nApplication \nRegistrations are only considered until 30N
 ovember 2020\, the maximal number of participants is limited. Applicants w
 ill be notified\, whether they are accepted for participitation.\n\nInstru
 ctors: Dr. Jan Meinke\, Jochen Kreutz\, Dr. Kaveh Haghighi-Mood\, Dr. Andr
 eas Herten\, JSC\; Jiri Kraus\, Markus Hrywniak\, NVIDIA\n\nContact \nFor 
 any questions concerning the course please send an e-mail to j.meinke@fz-j
 uelich.de\nhttps://events.prace-ri.eu/event/1083/
SUMMARY:[ONLINE] GPU Programming with CUDA @ JSC
URL;VALUE=URI:https://events.prace-ri.eu/event/1083/
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