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Titlebook: Euro-Par‘96 - Parallel Processing; Second International Luc Bougé,Pierre Fraigniaud,Yves Robert Conference proceedings 1996 Springer-Verlag

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楼主: arouse
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Duale Nomogramme, Kurvenscharen,ution of the heat equation is approximated by polynomials, the coefficients of which are computed from a block-tridiagonal linear system. Once the polynomials have been determined for a given time interval, the solution can be computed in parallel at any point of this interval. If the number of poin
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,Drei Tatsachen — drei Widersprüche,ong the processors, unbalanced workload, and irregular inter-processor data dependencies caused by the input image. In this paper, we propose an asynchronous algorithm for solving symbolic grouping problems on distributed memory machines. The algorithm balances the workload and overlaps communicatio
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https://doi.org/10.1007/978-3-642-94816-9obtain better execution times we propose a new procedure to parallelize the detection process in a distributed memory multiprocessor. The sequential algorithm splits the detection of parameters into several stages and uses a focusing algorithm to implement the most complex ones. In this work, each s
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,Der Tragflügel in drei Dimensionen,ing more and more strategic for remote sensing applications, still requiring the use of data-parallel processing. Fast formation of images from radar data requires dedicated machines suited to fine-grained, DSP-based parallelism, while improving the image quality through despeckling is suited to lar
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,Molekülspektren und chemische Bindung,This workshop covers a wide range of issues in software and hardware design, structured under three headings: parallel image processing, computer arithmetic and design automation for multimedia processors.
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Parallel image/video processing and computer arithmetic,This workshop covers a wide range of issues in software and hardware design, structured under three headings: parallel image processing, computer arithmetic and design automation for multimedia processors.
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The parallel computation of partial eigensolutions of large matrices on a massively parallel procesf the algorithms are proposed and implemented on an MPP Connection Machine CM-200 with 8K processors. A comparative evaluation of the efficiency of the most efficient version of each of the two algorithms for a variety of different types of matrices of maximum order 11,948 is also presented.
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