Language: English
Published by Morgan & Claypool Publishers, 2012
ISBN 10: 1608458415 ISBN 13: 9781608458417
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Published by Springer International Publishing AG, Cham, 2012
ISBN 10: 3031006089 ISBN 13: 9783031006081
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Paperback. Condition: new. Paperback. 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 / Transformation of iterative and recursive constructs / Compiling for distributed memory machines / Solving Diophantine equations / A guide to further reading Table of Contents: 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 Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Language: English
Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2001
ISBN 10: 3540428623 ISBN 13: 9783540428626
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Paperback. Condition: new. Paperback. This book constitutes the thoroughly refereed post-proceedings of the 13th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2000, held in Yorktown Heights, NY, USA, in August 2000. The 22 revised full papers presented together with 5 posters were carefully selected during two rounds of reviewing and improvement. All current aspects of parallel processing are addressed with emphasis on issues in optimizing compilers, languages, and software environments in high-performance computing. This volume contains the papers presented at the 13th International Workshop on Languages and Compilers for Parallel Computing. Watson Research Center also provided ?nancial support by underwriting much of the expense of the workshop. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Language: English
Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2005
ISBN 10: 354028009X ISBN 13: 9783540280095
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Paperback. Condition: new. Paperback. The 17th International Workshop on Languages and Compilers for High P- formance Computing was hosted by Purdue University in September 2004 on Purdue campus in West Lafayette, Indiana, USA. The workshop is an annual international forum for leading research groups to present their current research activities and the latest results, covering languages, compiler techniques, r- time environments, and compiler-related performance evaluation for parallel and high-performance computing. Eighty-six researchers from Canada, France, Japan, Korea, P. R. China, Spain, Taiwan and the United States attended the workshop. A new feature of LCPC 2004 was its mini-workshop on Research-Compiler Infrastructures. Representatives from four projects, namely Cetus, LLVM, ORC and Trimaran, gavea 90-minute long presentation each. In addition, 29 research papers were presented at the workshop. These papers were reviewed by the p- gram committee. External reviewers were used as needed. The authors received additional comments during the workshop. The revisions after the workshop are now assembled into these ?nal proceedings. A panel sessionwasorganizedby Samuel Midki? onthe questionof "What is GoodCompilerResearch-Theory,PracticeorComplexity?"Theworkshopals o had the honor and pleasure to have two keynote speakers, Peter Kogge of the University of Notre Dame and David Kuck of Intel Inc., both pioneers in high performance computing. Peter Kogge gave a presentation titled "Architectures and Execution Models: How New Technologies May A?ect How LanguagesPlay on Future HPC Systems". David Kuck presented Intel's vision and roadmap for parallel and distributed solutions. Constitutes the refereed post-proceedings of the 17th International Workshop on Languages and Compilers for High Performance Computing, LCPC 2004, held in West Lafayette, IN, USA in September 2004. The 33 papers presented were carefully selected during two rounds of reviewing and improvement. The papers are organized in topical sections. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Language: English
Published by Springer International Publishing, Springer International Publishing Jan 2012, 2012
ISBN 10: 3031006089 ISBN 13: 9783031006081
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Taschenbuch. Condition: Neu. Neuware -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 / Transformation of iterative and recursive constructs / Compiling for distributed memory machines / Solving Diophantine equations / A guide to further readingSpringer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 172 pp. Englisch.
Language: English
Published by Springer International Publishing, 2012
ISBN 10: 3031006089 ISBN 13: 9783031006081
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 / Transformation of iterative and recursive constructs / Compiling for distributed memory machines / Solving Diophantine equations / A guide to further reading.