| 期刊全称 | Automatic Performance Prediction of Parallel Programs | | 影响因子2023 | Thomas Fahringer | | 视频video | | | 图书封面 |  | | 影响因子 | .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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发表于 2025-3-21 19:38:35
