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Automatic parallelization : an overv...
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Midkiff, Samuel P. (1954-)
Automatic parallelization : an overview of fundamental compiler techniques
紀錄類型:
書目-語言資料,印刷品 : 單行本
副題名:
an overview of fundamental compiler techniques
作者:
MidkiffSamuel P., 1954-
出版地:
[San Rafael, Calif.]
出版者:
Morgan & Claypool Publishers;
出版年:
c2012
面頁冊數:
xii, 157 p.ill. : 24 cm.;
集叢名:
Synthesis lectures on computer architecture#19
標題:
Compilers (Computer programs) -
標題:
Parallelizing compilers -
附註:
Includes bibliographical references (p. 133-156)
摘要註:
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
ISBN:
978-1-60845-841-7
內容註:
Introduction and overview Dependence analysis, dependence graphs and alias analysis Program parallelization Transformations to modify and eliminate dependences Transformation of iterative and recursive constructs Compiling for distributed memory machines Solving diophantine equations A guide to further reading
Automatic parallelization : an overview of fundamental compiler techniques
Midkiff, Samuel P.
Automatic parallelization
: an overview of fundamental compiler techniques / Samuel P. Midkiff - [San Rafael, Calif.] : Morgan & Claypool Publishers, c2012. - xii, 157 p. ; ill. ; 24 cm.. - (Synthesis lectures on computer architecture ; #19).
Introduction and overview.
Includes bibliographical references (p. 133-156).
ISBN 978-1-60845-841-7ISBN 978-1-60845-842-4ISBN 1-60845-841-5ISBN 1-60845-842-3
Compilers (Computer programs)Parallelizing compilers
Automatic parallelization : an overview of fundamental compiler techniques
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Compiling for distributed memory machines
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Solving diophantine equations
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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
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