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001019123 1001_ $$0P:(DE-Juel1)145478$$aHerten, Andreas$$b0$$eCorresponding author$$ufzj
001019123 1112_ $$aJSC - as part of the Training Programme of Forschungszentrum Jülich$$cJülich$$d2023-04-17 - 2023-04-19$$wGermany
001019123 245__ $$aGPU Programming Part 1: Foundations
001019123 260__ $$c2023
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001019123 520__ $$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 a GPU.The course covers 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.For the first time, the GPU Programming with CUDA course is held in two parts. This course is a basic course covering the foundations of GPU programming including an introduction to GPU/parallel computing, programming with CUDA, GPU libraries, tools for debugging and profiling, and performance optimizations.An advanced course with more involved and specific topics is available as an individual entry.
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001019123 7001_ $$0P:(DE-Juel1)132189$$aMeinke, Jan$$b1$$eCorresponding author$$ufzj
001019123 7001_ $$0P:(DE-Juel1)176293$$aHaghighi Mood, Kaveh$$b2$$ufzj
001019123 7001_ $$0P:(DE-Juel1)137023$$aKraus, Jiri$$b3$$ufzj
001019123 7001_ $$0P:(DE-Juel1)180799$$aHrywniak, Markus$$b4$$ufzj
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