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DTSTAMP:20260703T100207Z
UID:66746a31-4903-4607-8431-60c5d8d0b6d1
DTSTART:20160425T070000Z
DTEND:20160427T143000Z
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\nIntroduction to GPU/Parallel 
 computing\n	Programming model CUDA\n	GPU libraries like CuBLAS and CuFFT\n
 	Tools for debugging and profiling\n	Performance optimizations\nPrerequisi
 tes: Some knowledge about Linux\, e.g. make\, command line editor\, Linux 
 shell\, experience in C\n\nApplication \nRegistrations are only considered
  until 31 March 2016 due to available space\, the maximal number of partic
 ipants is limited. Applicants will be notified\, whether they are accepted
  for participitation.\n\nInstructors: Dr. Jan Meinke\, Jochen Kreutz\, JSC
 \; Jiri Kraus\, NVIDIA\n\nContact \nFor any questions concerning the cours
 e please send an e-mail to j.meinke@fz-juelich.de\n\nhttps://events.prace-
 ri.eu/event/463/
SUMMARY:GPU Programming with CUDA @ JSC
URL;VALUE=URI:https://events.prace-ri.eu/event/463/
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