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DTSTAMP:20260707T114919Z
UID:7fbd4660-a013-4603-acf3-c2f73f9eb7cc
DTSTART:20130415T070000Z
DTEND:20130417T143000Z
DESCRIPTION:\n	Many-core programming is a very dynamic research area. Many 
 scientific applications have been ported to GPU architectures during the p
 ast four years. We will give an introduction to CUDA\, OpenCL\, and multi-
 GPU programming using examples of increasing complexity. After introducing
  the basics the focus will be on optimization and tuning of scientific app
 lications. Topics covered will include:\n\n		Programming models: CUDA\, Op
 enACC\, OpenCL\n	\n		Using libraries as interface for GPU programming (e.g
 . Thrust)\n	\n		Partitioning and granularity of parallel applications\n	\n
 		Debugging and profiling of kernels\n	\n		Performance optimizations\n	\n	
 	Multi-GPU programming using MPI\n\n	Prerequisites: Knowledge in C\nThis c
 ourse is a Prace Advanced Training Centres (PATC) course.Application \nReg
 istrations are only considered until 31 March 2013\;\ndue to available spa
 ce\, the maximal number of participants is limited.\nApplicants will be no
 tified\, whether they are accepted for participitation on 2 April 2013.Ins
 tructors:\nDr. Jan Meinke\, Jochen Kreutz\, Peter Philippen\, Willi Homber
 g\, Andrew Adinets\, JSC\;\nSuraj Prabhakaran\, GRS\; Jiri Kraus\, NVIDIAC
 ontact \nFor any questions concerning the course please send an e-mail to 
 w.homberg@fz-juelich.de\n\nhttps://events.prace-ri.eu/event/147/
SUMMARY:GPU Programming @ JSC
URL;VALUE=URI:https://events.prace-ri.eu/event/147/
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