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Titlebook: Applied Parallel Computing. Large Scale Scientific and Industrial Problems; 4th International Wo Bo K?gstr?m,Jack Dongarra,Jerzy Wa?niewski

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發(fā)表于 2025-3-23 12:52:21 | 只看該作者
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發(fā)表于 2025-3-23 17:41:29 | 只看該作者
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發(fā)表于 2025-3-23 18:46:50 | 只看該作者
https://doi.org/10.1007/978-3-662-34009-7its numerical foundation in additive Schwarz methods, so it possesses inherent parallelism and inherits the intrinsic numerical efficiency of domain decomposition algorithms. Within an object-oriented framework implementing this model, the actual parallelization work for the sequential wave simulato
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發(fā)表于 2025-3-24 00:13:15 | 只看該作者
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發(fā)表于 2025-3-24 03:56:42 | 只看該作者
Irmgard Griss,Georg Kathrein,Helmut Koziolackground 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 ar
16#
發(fā)表于 2025-3-24 10:08:33 | 只看該作者
https://doi.org/10.1007/3-211-30828-8 the implementation of globally adaptive parallel quadrature algorithms. The well known master-slave parallel algorithm prototype is used for the realization of the algorithm. Numerical results on the . computer and on a cluster of workstations are reported. A test problem where the integrand functi
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發(fā)表于 2025-3-24 13:40:35 | 只看該作者
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發(fā)表于 2025-3-24 18:19:39 | 只看該作者
Eigenschaften linearer Modelle,lization, LU decomposition,…). Their efficient implementation on a given parallel machine is a key issue for the maximal exploitation of the system’s computational power. In this work we refer to a massively parallel processing SIMD machine (the APE100/Quadrics
19#
發(fā)表于 2025-3-24 22:11:06 | 只看該作者
Eigenschaften linearer Modelle,uch very large scale or ultra-scale applications, a central requirement is the ability to simultaneously co-allocate large collections of resources, to initiate a computation on those resources and to initialize the distributed collection of components to construct a single, integrated computation.
20#
發(fā)表于 2025-3-25 02:29:18 | 只看該作者
Thermische Analyse von 3D-Strukturenwise algorithm can be reorganized in terms of blocked factorizations and matrix-matrix operations. Moreover, this LAPACK-style algorithm is straightforwardly extended to a parallel algorithm for a rectangular 2D processor grid using parallel kernels from ScaLAPACK. A hierarchical performance model i
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