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BEGIN:VEVENT
DTSTAMP:20260704T160919Z
UID:9c3e3d74-958f-43d0-b62b-cc3529192531
DTSTART:20170424T070000Z
DTEND:20170426T143000Z
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/C++\, whi
 ch allows maximum control of NVIDIA GPU hardware. Examples of increasing c
 omplexity will be used to demonstrate optimization and tuning of scientifi
 c applications.\n\nTopics covered will include:\n\nIntroduction to GPU/Par
 allel computing\n	Programming model CUDA\n	GPU libraries like CuBLAS and C
 uFFT\n	Tools for debugging and profiling\n	Performance optimizations\nPrer
 equisites: Some knowledge about Linux\, e.g. make\, command line editor\, 
 Linux shell\, experience in C/C++\n\nApplication \nRegistrations are only 
 considered until 31 March 2017 due to available space\, the maximal number
  of participants is limited. Applicants will be notified\, whether they ar
 e accepted for participitation.\n\nInstructors: Dr. Jan Meinke\, Jochen Kr
 eutz\, JSC\; Jiri Kraus\, NVIDIA\n\nContact \nFor any questions concerning
  the course please send an e-mail to j.meinke@fz-juelich.de\n\nhttps://eve
 nts.prace-ri.eu/event/566/
SUMMARY:GPU Programming with CUDA @ JSC
URL;VALUE=URI:https://events.prace-ri.eu/event/566/
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