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Titlebook: Symbolic Parallelization of Nested Loop Programs; Alexandru-Petru Tanase,Frank Hannig,Jürgen Teich Book 2018 Springer International Publis

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书目名称Symbolic Parallelization of Nested Loop Programs
编辑Alexandru-Petru Tanase,Frank Hannig,Jürgen Teich
视频video
概述Provides extensive experimental evaluations, investigating the benefits of using symbolic compilation techniques, as well as on-demand fault tolerant loop processing.Presents techniques in a step-by-s
图书封面Titlebook: Symbolic Parallelization of Nested Loop Programs;  Alexandru-Petru Tanase,Frank Hannig,Jürgen Teich Book 2018 Springer International Publis
描述.This book introduces new compilation techniques, using the polyhedron model for the resource-adaptive parallel execution of loop programs on massively parallel processor arrays. The authors show how to compute optimal symbolic assignments and parallel schedules of loop iterations at compile time, for cases where the number of available cores becomes known only at runtime. The compile/runtime symbolic parallelization approach the authors describe reduces significantly the runtime overhead, compared to dynamic or just‐in-time compilation. The new, on‐demand fault‐tolerant loop processing approach described in this book protects loop nests for parallel execution against soft errors. .
出版日期Book 2018
关键词Invasive Computing; Heterogeneous Multiprocessor-On-A-Chip; Parallel Computing; Polyhedron Model; Compil
版次1
doihttps://doi.org/10.1007/978-3-319-73909-0
isbn_softcover978-3-030-08884-2
isbn_ebook978-3-319-73909-0
copyrightSpringer International Publishing AG 2018
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Symbolic Multi-Level Parallelization, efficiency by exploiting multiple levels of parallelism and different memory hierarchies. However, existing parallelization techniques are often unable to exploit multiple levels of parallelism and are either I/O or memory bounded. Furthermore, if the number of available processing elements becomes
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