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Titlebook: Applied Parallel Computing. Large Scale Scientific and Industrial Problems; 4th International Wo Bo Kågström,Jack Dongarra,Jerzy Waśniewski

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发表于 2025-3-21 16:34:49 | 显示全部楼层 |阅读模式
期刊全称Applied Parallel Computing. Large Scale Scientific and Industrial Problems
期刊简称4th International Wo
影响因子2023Bo Kågström,Jack Dongarra,Jerzy Waśniewski
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发行地址Includes supplementary material:
学科分类Lecture Notes in Computer Science
图书封面Titlebook: Applied Parallel Computing. Large Scale Scientific and Industrial Problems; 4th International Wo Bo Kågström,Jack Dongarra,Jerzy Waśniewski
影响因子This book constitutes the carefully refereed proceedings of the 4th International Workshop on Applied Parallel Computing, PARA‘98, held in Umea, Sweden, in June 1998..The 75 revised papers presented were carefully reviewed and selected for inclusion in the book. The papers address a variety of topics in large scale scientific and industrial-strength computing, in particular high-performance computing and networking; tools, languages, and environments for parallel processing; scientific visualization and virtual reality; and future directions in high-performance computing and communication.
Pindex Conference proceedings 1998
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发表于 2025-3-21 22:21:29 | 显示全部楼层
Parallelisation of an industrial hydrodynamics application using the PINEAPL library,ackground information and a profiling of the application provides the basis for a parallelisation strategy. A two-stranded approach with both a functional parallelisation of part of the application and the use of library routines is reported. Excellent scalability properties of the two approaches are reported.
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Bo Kågström,Jack Dongarra,Jerzy WaśniewskiIncludes supplementary material:
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Suche Nach Homonymen Datenelementen,el benchmarks) that there exists communications locality, and that it is “structured”. We have used this in a number of heuristics that “predict” the target of subsequent communications. This technique, can be applied directly to reconfigurable interconnects (optical or conventional) to hide the com
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https://doi.org/10.1007/978-3-663-08468-6 The method is based on a leap frog scheme introduced by Yee in 1966. The first order Mur scheme is used as outer (absorbing) boundary condition. Wave excitation is done with dipoles, i.e. using point sources. All parts of this scheme are local in space. It is therefore suitable to parallelize the c
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https://doi.org/10.1007/978-3-642-49702-5f the deep memory hierarchy which implies that the user has to know exactly how his/her implementation gets executed. With today’s compilers it can be very difficult to understand or predict the execution path without having to look at the machine code. We present a set of tools designed to help us
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