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DTSTAMP:20260701T102006Z
UID:b2d622f0-6865-47e9-aae0-1c224c2c04c0
DTSTART:20220425T070000Z
DTEND:20220429T110000Z
DESCRIPTION:This course will take place as an online event. The link to the
  streaming platform will be provided to the accepted registrants only.\n\n
 GPU-accelerated computing drives current scientific research. Writing fast
  numeric algorithms for GPUs offers high application performance by offloa
 ding compute-intensive portions of the code to an NVIDIA GPU. The course w
 ill cover basic aspects of GPU architectures and programming. Focus is on 
 the usage of the parallel programming language CUDA C/C++ which allows max
 imum control of NVIDIA GPU hardware. Examples of increasing complexity wil
 l be used to demonstrate optimization and tuning of scientific application
 s.\n\nTopics covered will include:\n\n\n	Introduction to GPU/Parallel comp
 uting\n	Programming model CUDA\n	GPU libraries like cuBLAS and cuFFT\n	Too
 ls for debugging and profiling\n	Performance optimizations\n	Advanced GPU 
 programming model\n	CUDA Fortran in a nutshell\n\n\nPrerequisites: Some kn
 owledge about Linux\, e.g. make\, command line editor\, Linux shell\, expe
 rience in C/C++\n\nDates:\n25-29 April 2022\, 09:00-13:00 each day\n\nAppl
 ication \nRegistrations are only considered until 9 April 2022\, the maxim
 al number of participants is limited. Applicants will be notified\, whethe
 r they are accepted for participitation.\n\nInstructors: 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-juelich.de\nhttps://eve
 nts.prace-ri.eu/event/1341/
SUMMARY:[ONLINE] GPU Programming with CUDA @ JSC
URL;VALUE=URI:https://events.prace-ri.eu/event/1341/
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