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Titlebook: Languages and Compilers for Parallel Computing; 7th International Wo Keshav Pingali,Utpal Banerjee,David Padua Conference proceedings 1995

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書(shū)目名稱Languages and Compilers for Parallel Computing
副標(biāo)題7th International Wo
編輯Keshav Pingali,Utpal Banerjee,David Padua
視頻videohttp://file.papertrans.cn/582/581184/581184.mp4
叢書(shū)名稱Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Languages and Compilers for Parallel Computing; 7th International Wo Keshav Pingali,Utpal Banerjee,David Padua Conference proceedings 1995
描述This volume presents revised versions of the 32 papers accepted for the Seventh Annual Workshop on Languages and Compilers for Parallel Computing, held in Ithaca, NY in August 1994..The 32 papers presented report on the leading research activities in languages and compilers for parallel computing and thus reflect the state of the art in the field. The volume is organized in sections on fine-grain parallelism, align- ment and distribution, postlinear loop transformation, parallel structures, program analysis, computer communication, automatic parallelization, languages for parallelism, scheduling and program optimization, and program evaluation.
出版日期Conference proceedings 1995
關(guān)鍵詞Compiler; Parallel Computing; Performance; Scala; Scheduling; algorithm; algorithms; distributed computing;
版次1
doihttps://doi.org/10.1007/BFb0025866
isbn_softcover978-3-540-58868-9
isbn_ebook978-3-540-49134-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 1995
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978-3-540-58868-9Springer-Verlag Berlin Heidelberg 1995
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Languages and Compilers for Parallel Computing978-3-540-49134-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Communication-free parallelization via affine transformations,aling, reindexing and statement reordering. The algorithm first assigns the iterations of instructions in the program to processors via affine processor mappings, then generates the correct code by ensuring that the code executed by each processor is a subsequence of the original sequential execution sequence.
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Array distribution in data-parallel programs,nt, and redistribution costs into account. We explain how to estimate the effect of distribution on computation cost and how to choose a candidate set of distributions. We present the results of an implementation of our algorithms on several test problems.
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Mutation scheduling: A unified approach to compiling for fine-grain parallelism,lection, register allocation, and instruction scheduling into a unified framework in which trade-offs between the functional, register, and memory bandwidth resources of the target architecture are made “on the fly” in response to changing resource constraints and availability.
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