Languages and Compilers for Parallel Computing [electronic resource] : 26th International Workshop, LCPC 2013, San Jose, CA, USA, September 25--27, 2013. Revised Selected Papers /

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Material type: Text

TextSeries: Theoretical Computer Science and General Issues ; 8664Publisher: Cham : Springer International Publishing : Imprint: Springer, 2014Edition: 1st ed. 2014Description: XXIV, 357 p. 160 illus. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783319099675

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

006 23

LOC classification:

TA1501-1820
TA1634

Online resources:

Click here to access online

Contents:

Programming Models -- Tasks -- Heterogeneous Computing -- Power -- Debugging -- Algorithms -- Caches -- Transactional Memory.

In: Springer Nature eBookSummary: This book constitutes the thoroughly refereed post-conference proceedings of the 26th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2013, held in Tokyo, Japan, in September 2012. The 20 revised full papers and two keynote papers presented were carefully reviewed and selected from 44 submissions. The focus of the papers is on following topics: parallel programming models, compiler analysis techniques, parallel data structures and parallel execution models, to GPGPU and other heterogeneous execution models, code generation for power efficiency on mobile platforms, and debugging and fault tolerance for parallel systems.

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Programming Models -- Tasks -- Heterogeneous Computing -- Power -- Debugging -- Algorithms -- Caches -- Transactional Memory.

This book constitutes the thoroughly refereed post-conference proceedings of the 26th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2013, held in Tokyo, Japan, in September 2012. The 20 revised full papers and two keynote papers presented were carefully reviewed and selected from 44 submissions. The focus of the papers is on following topics: parallel programming models, compiler analysis techniques, parallel data structures and parallel execution models, to GPGPU and other heterogeneous execution models, code generation for power efficiency on mobile platforms, and debugging and fault tolerance for parallel systems.

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