Languages and Compilers for Parallel Computing [electronic resource] : 29th International Workshop, LCPC 2016, Rochester, NY, USA, September 28-30, 2016, Revised Papers /

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Material type: Text

TextSeries: Theoretical Computer Science and General Issues ; 10136Publisher: Cham : Springer International Publishing : Imprint: Springer, 2017Edition: 1st ed. 2017Description: XI, 348 p. 137 illus. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783319527093

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Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

005.45 23

LOC classification:

QA76.76.C65

Online resources:

Click here to access online

Contents:

Large Scale Parallelism -- Resilience and Persistence -- Compiler Analysis and Optimization -- Dynamic Computation and Languages -- GPUs and Private Memory -- Runt-time and Performance Analysis.

In: Springer Nature eBookSummary: This book constitutes the thoroughly refereed post-conference proceedings of the 29th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2016, held in Rochester, NY, USA, in September 2016. The 20 revised full papers presented together with 4 short papers were carefully reviewed. The papers are organized in topical sections on large scale parallelism, resilience and persistence, compiler analysis and optimization, dynamic computation and languages, GPUs and private memory, and runt-time and performance analysis.

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Large Scale Parallelism -- Resilience and Persistence -- Compiler Analysis and Optimization -- Dynamic Computation and Languages -- GPUs and Private Memory -- Runt-time and Performance Analysis.

This book constitutes the thoroughly refereed post-conference proceedings of the 29th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2016, held in Rochester, NY, USA, in September 2016. The 20 revised full papers presented together with 4 short papers were carefully reviewed. The papers are organized in topical sections on large scale parallelism, resilience and persistence, compiler analysis and optimization, dynamic computation and languages, GPUs and private memory, and runt-time and performance analysis.

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