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Titlebook: Automatic Performance Prediction of Parallel Programs; Thomas Fahringer Book 1996 Kluwer Academic Publishers 1996 distributed memory.optim

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發(fā)表于 2025-3-21 19:38:35 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Automatic Performance Prediction of Parallel Programs
影響因子2023Thomas Fahringer
視頻videohttp://file.papertrans.cn/167/166436/166436.mp4
圖書封面Titlebook: Automatic Performance Prediction of Parallel Programs;  Thomas Fahringer Book 1996 Kluwer Academic Publishers 1996 distributed memory.optim
影響因子.Automatic Performance Prediction of Parallel Programs.presents a unified approach to the problem of automatically estimatingthe performance of parallel computer programs. The author focusesprimarily on distributed memory multiprocessor systems, although largeportions of the analysis can be applied to shared memory architecturesas well. .The author introduces a novel and very practical approach forpredicting some of the most important performance parameters ofparallel programs, including work distribution, number of transfers,amount of data transferred, network contention, transfer time,computation time and number of cache misses. This approach is based onadvanced compiler analysis that carefully examines loop iterationspaces, procedure calls, array subscript expressions, communicationpatterns, data distributions and optimizing code transformations atthe program level; and the most important machine specific parametersincluding cache characteristics, communication network indices, andbenchmark data for computational operations at the machine level..The material has been fully implemented as part of P.3.T, whichis an integrated automatic performance estimator of the Vienna FortranCo
Pindex Book 1996
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Model,l programming language which is accepted for the parallelization process. Fundamental characteristics about the data space, program state, statement instances and program statements are defined. These characteristics are equally applicable to both sequential and parallel programs. In the next sectio
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Parallel Program Parameters,bution might allow pulling communication out of a loop nest but adds overhead for additional loop header statements. Scalar expansion may help to break dependences and thus permits parallelization at the cost of additional memory to be allocated and cache misses induced by accessing arrays (expanded
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Experiments,f the parallel program parameters. Several representative kernels, large subroutines and reasonably sized programs are analyzed under .. Their parallel program parameters as computed by . are compared against measurements taken on the iPSC/860 hypercube. Next, we demonstrate the effectiveness of ..
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Automatic Performance Prediction of Parallel Programs
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Automatic Performance Prediction of Parallel Programs978-1-4613-1371-7
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