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000868123 1001_ $$0P:(DE-Juel1)145478$$aHerten, Andreas$$b0$$eCorresponding author
000868123 1112_ $$aPRACE Training Course$$cJülich$$d2019-04-01 - 2019-04-03$$wGermany
000868123 245__ $$aGPU Programming with CUDA
000868123 260__ $$c2019
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000868123 520__ $$aGPU-accelerated computing drives current scientific research. Writing fast numeric algorithms for GPUs offers high application performance by offloading compute-intensive portions of the code to an NVIDIA GPU. The course covers basic aspects of GPU architectures and programming. Focus is on the usage of the parallel programming language CUDA-C which allows maximum control of NVIDIA GPU hardware. Examples of increasing complexity are used to demonstrate optimization and tuning of scientific applications.
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000868123 7001_ $$0P:(DE-Juel1)132189$$aMeinke, Jan$$b1
000868123 7001_ $$0P:(DE-Juel1)132170$$aKreutz, Jochen$$b2
000868123 7001_ $$0P:(DE-Juel1)137023$$aKraus, Jiri$$b3
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