Automatic Parallelization

An Overview of Fundamental Compiler Techniques

AvSamuel Midkiff

Häftad, Engelska, 2012

Del i serien Synthesis Lectures on Computer Architecture

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Beskrivning

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

Produktinformation

Utgivningsdatum:2012-01-27
Mått:191 x 235 x 143 mm
Vikt:332 g
Format:Häftad
Språk:Engelska
Serie:Synthesis Lectures on Computer Architecture
Antal sidor:157
Förlag:Springer International Publishing AG
ISBN:9783031006081
Originaltitel:Automatic Parallelization

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Mer om författaren

Samuel Midkiff is a Professor of Electrical and Computer Engineering at Purdue University, where he has been since 2001.He received his PhD degree from the University of Illinois at Urbana-Champaign in 1992 where he was a member of the Cedar project. In 1991 he became a Research Staff Member at the IBM T.J. Watson Research Center, where he was a key member of the xlhpf compiler team and the Numerically INtensive Java (Ninja) project. His research has focused on parallelism and high performance computing, and in particular compiler and language support for the development of correct and efficient programs. To this end, his research has covered dependence analysis and automatic synchronization of explicitly parallel programs, compilation under different memory models,automatic parallelization, high performance computing in Java and other high-level languages,and tools to help in the detection and localization of program errors.

Innehållsförteckning

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.