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Titlebook: High Performance Computing in Science and Engineering ’98; Transactions of the Egon Krause,Willi J?ger Conference proceedings 1999 Springe

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書目名稱High Performance Computing in Science and Engineering ’98
副標(biāo)題Transactions of the
編輯Egon Krause,Willi J?ger
視頻videohttp://file.papertrans.cn/427/426377/426377.mp4
概述The book covers the CSE projects at HLRS Stuttgart - a major supercomputing center in Germany
圖書封面Titlebook: High Performance Computing in Science and Engineering ’98; Transactions of the  Egon Krause,Willi J?ger Conference proceedings 1999 Springe
描述The book contains reports about the most significant projects from science and industry that are using the supercomputers of the Federal High Performance Computing Center Stuttgart (HLRS). These projects are from different scientific disciplines, with a focus on engineering, physics and chemistry. They were carefully selected in a peer-review process and are showcases for an innovative combination of state-of-the-art physical modeling, novel algorithms and the use of leading-edge parallel computer technology. As HLRS is in close cooperation with industrial companies, special emphasis has been put on the industrial relevance of results and methods.
出版日期Conference proceedings 1999
關(guān)鍵詞Navier-Stokes equations; algorithms; computer simulation; differential equation; electromagnetic field; g
版次1
doihttps://doi.org/10.1007/978-3-642-58600-2
isbn_softcover978-3-642-63661-5
isbn_ebook978-3-642-58600-2
copyrightSpringer-Verlag Berlin Heidelberg 1999
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Parallel Seismic Data Processing,utilizing High Performance Fortran to implement geophysical seismic algorithms. We compare strategies in which the computational domain is distributed over various processors with ensembles of computational grids aligned using the HPF standard language.
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Physics, investigations and closely interacts with the latter. A visionary formulation of the scientific potential arising from an optimal use of the supercomputers at the HLRS can be found in the “Report of the High Performance Computing and Networking (HPCN) Advisory Committee” already published in 1992:
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M. Brunner,A. Muramatsue curves give a visual comparison of both techniques where the stability, speed, and accuracy dominance of PBGA is clearly observable. However, in the case of benchmark function with smooth nature-like Rosenbrock, Sphere, and Dixon and Price, FA has better performance on average, while PBGA performance is still comparable to FA.
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