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Titlebook: Automatic Parallelization; An Overview of Funda Samuel P. Midkiff Book 2012 Springer Nature Switzerland AG 2012

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發(fā)表于 2025-3-21 16:45:49 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Automatic Parallelization
期刊簡(jiǎn)稱An Overview of Funda
影響因子2023Samuel P. Midkiff
視頻videohttp://file.papertrans.cn/167/166435/166435.mp4
學(xué)科分類Synthesis Lectures on Computer Architecture
圖書(shū)封面Titlebook: Automatic Parallelization; An Overview of Funda Samuel P. Midkiff Book 2012 Springer Nature Switzerland AG 2012
影響因子Compiling for parallelism is a longstanding topic of compiler research. This book describes the fundamental principles of compiling "regular" numerical programs for parallelism. We begin with an explanation of analyses that allow a compiler to understand the interaction of data reads and writes in different statements and loop iterations during program execution. These analyses include dependence analysis, use-def analysis and pointer analysis. Next, we describe how the results of these analyses are used to enable transformations that make loops more amenable to parallelization, and discuss transformations that expose parallelism to target shared memory multicore and vector processors. We then discuss some problems that arise when parallelizing programs for execution on distributed memory machines. Finally, we conclude with an overview of solving Diophantine equations and suggestions for further readings in the topics of this book to enable the interested reader to delve deeper into the field. Table of Contents: Introduction and overview / Dependence analysis, dependence graphs and alias analysis / Program parallelization / Transformations to modify and eliminate dependences / Tran
Pindex Book 2012
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Occulted Texts: Pamuk’s Untranslated Novelsted in are polynomials of degree one in possibly many variables, which are often referred to as affine equations. This chapter may be skipped, or quickly scanned, by most readers, but is provided for the reader desiring a deeper understanding of the mechanics behind solving Diophantine equations.
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Program parallelization, or completely parallelized. Transformations to eliminate dependences, or to allow them to be ignored, are discussed in Chapter 4. Other transformations that may enhance parallelization are discussed in Chapters 5.
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Solving Diophantine equations,ted in are polynomials of degree one in possibly many variables, which are often referred to as affine equations. This chapter may be skipped, or quickly scanned, by most readers, but is provided for the reader desiring a deeper understanding of the mechanics behind solving Diophantine equations.
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Transformation of iterative and recursive constructs,The dependence information gathered using the techniques of Chapter 2 can be used to determine the legality, and sometimes the utility, of a variety of transformations on loops. Many of the transformation we now discuss have as their primary goal improving program performance instead of transforming programs to a form that is easier to parallelize.
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