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Titlebook: Loop Parallelization; Utpal Banerjee Book 1994 Springer Science+Business Media New York 1994 DEX.Fortran.Permutation.Turing.Volume.algorit

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發(fā)表于 2025-3-21 19:51:32 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Loop Parallelization
編輯Utpal Banerjee
視頻videohttp://file.papertrans.cn/589/588634/588634.mp4
圖書封面Titlebook: Loop Parallelization;  Utpal Banerjee Book 1994 Springer Science+Business Media New York 1994 DEX.Fortran.Permutation.Turing.Volume.algorit
描述Automatic transformation of a sequential program into aparallel form is a subject that presents a great intellectualchallenge and promises a great practical award. There is a tremendousinvestment in existing sequential programs, and scientists andengineers continue to write their application programs in sequentiallanguages (primarily in Fortran). The demand for higher speedupsincreases. The job of a restructuring compiler is to discover thedependence structure and the characteristics of the given machine.Much attention has been focused on the Fortran.do. loop. This iswhere one expects to find major chunks of computation that need to beperformed repeatedly for different values of the index variable. Manyloop transformations have been designed over the years, and several ofthem can be found in any parallelizing compiler currently in use inindustry or at a university research facility. .The book series on Kappa.Loop Transformations for RestructuringCompilers.kappa provides a rigorous theory of loop transformations anddependence analysis. We want to develop the transformations in aconsistent mathematical framework using objects like directed graphs,matrices, and linear equations. Then,
出版日期Book 1994
關(guān)鍵詞DEX; Fortran; Permutation; Turing; Volume; algorithms; character; compiler; equation; graphs; matrices; mutatio
版次1
doihttps://doi.org/10.1007/978-1-4757-5676-0
isbn_softcover978-1-4419-5141-0
isbn_ebook978-1-4757-5676-0
copyrightSpringer Science+Business Media New York 1994
The information of publication is updating

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發(fā)表于 2025-3-21 21:34:26 | 只看該作者
great practical award. There is a tremendousinvestment in existing sequential programs, and scientists andengineers continue to write their application programs in sequentiallanguages (primarily in Fortran). The demand for higher speedupsincreases. The job of a restructuring compiler is to discover
板凳
發(fā)表于 2025-3-22 02:21:41 | 只看該作者
Background,ass of programs, and gave an introduction to some of the major loop transformations. In this book, we will study in detail the fundamental iteration-level transformations with the goal of loop parallelization in mind.
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Book 1994ctical award. There is a tremendousinvestment in existing sequential programs, and scientists andengineers continue to write their application programs in sequentiallanguages (primarily in Fortran). The demand for higher speedupsincreases. The job of a restructuring compiler is to discover thedepend
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Unimodular Transformations,nsider a class of loop transformations that includes loop permutations as a proper subset, and is better suited for parallelization. A loop permutation is defined by a permutation matrix; a unimodular transformation is a loop transformation defined by a unimodular matrix. (Remember that permutation
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Remainder Transformations,h along hyperplanes or intersections of hyperplanes. In this chapter, we go one step further by examining more closely the relationship between two index points . and . when the iteration .(.) depends on the iteration .(.). For example, consider the double loop (.., ..) of Example 1.4, with distance
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