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001     868123
005     20210130004113.0
037 _ _ |a FZJ-2019-06710
041 _ _ |a English
100 1 _ |a Herten, Andreas
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111 2 _ |a PRACE Training Course
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|d 2019-04-01 - 2019-04-03
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245 _ _ |a GPU Programming with CUDA
260 _ _ |c 2019
336 7 _ |a lecture
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520 _ _ |a GPU-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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700 1 _ |a Meinke, Jan
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700 1 _ |a Kreutz, Jochen
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700 1 _ |a Kraus, Jiri
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856 4 _ |u https://juser.fz-juelich.de/record/868123/files/00-jsc-cuda19-overview.pdf
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856 4 _ |u https://juser.fz-juelich.de/record/868123/files/01-1-cuda-intro.pdf
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856 4 _ |u https://juser.fz-juelich.de/record/868123/files/01-2-CUDA_Intro.pdf
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856 4 _ |u https://juser.fz-juelich.de/record/868123/files/02-cuda-tools.pdf
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856 4 _ |u https://juser.fz-juelich.de/record/868123/files/03-unified-memory.pdf
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856 4 _ |u https://juser.fz-juelich.de/record/868123/files/04-Matrix_Multiplication.pdf
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856 4 _ |u https://juser.fz-juelich.de/record/868123/files/05-Performance_Optimization.pdf
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856 4 _ |u https://juser.fz-juelich.de/record/868123/files/06-Multi_GPU_Programming_with_MPI_and_CUDA.pdf
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856 4 _ |u https://juser.fz-juelich.de/record/868123/files/07-CUDA_Streams_and_Events.pdf
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856 4 _ |u https://juser.fz-juelich.de/record/868123/files/11-CUB_intro.pdf
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