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BEGIN:VEVENT
DTSTAMP:20260705T022239Z
UID:f6ca5f1a-dfea-4b0f-a398-1a9c266a7f22
DTSTART:20210426T070000Z
DTEND:20210430T110000Z
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:\n26-30 April 2021\, 09:00-13:
 00 each day\n\nApplication \nRegistrations are only considered until 10 Ap
 ril 2021\, the maximal number of participants is limited. Applicants will 
 be notified\, whether they are accepted for participitation.\n\nInstructor
 s: Dr. Jan Meinke\, Jochen Kreutz\, Dr. Kaveh Haghighi-Mood\, Dr. Andreas 
 Herten\, JSC\; Jiri Kraus\, Markus Hrywniak\, NVIDIA\n\nContact \nFor any 
 questions concerning the course please send an e-mail to j.meinke@fz-jueli
 ch.de\nhttps://events.prace-ri.eu/event/1163/
SUMMARY:[ONLINE] GPU Programming with CUDA @ JSC
URL;VALUE=URI:https://events.prace-ri.eu/event/1163/
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