Multicore Programming Using the ParC Language

Multicore Programming Using the ParC Language discusses principles of practical parallel programming using shared memory.  It is unique in its approach to writing parallel programs for shared memory machines. It uses a simple yet powerful parallel dialect of C called ParC as the basic programming la...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Ben-Asher, Yosi (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2012.
Edición:1st ed. 2012.
Colección:Undergraduate Topics in Computer Science,
Temas:
Computer programming.
Microprocessors.
Computer architecture.
Programming Techniques.
Processor Architectures.
Acceso en línea:Texto Completo

MARC

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490 1 |a Undergraduate Topics in Computer Science,  |x 2197-1781 
505 0 |a Preface -- Basic Concepts in Parallel Algorithms and Parallel Programming -- Principles of Shared Memory Parallel Programming using ParC -- Locality and Synchronization -- Multicore Machines -- Improving the Performance of Parallel Programs: The Analytical Approach -- Compilation Techniques -- Working with Sequential Versions -- Performance and Overhead Measures. 
520 |a Multicore Programming Using the ParC Language discusses principles of practical parallel programming using shared memory.  It is unique in its approach to writing parallel programs for shared memory machines. It uses a simple yet powerful parallel dialect of C called ParC as the basic programming language, which was co-developed by author Yosi Ben-Asher. Designed to be used in an introductory course in parallel programming and covering basic and advanced concepts of parallel programming via ParC examples, the book combines a mixture of research directions, covering issues in parallel operating systems, and compilation techniques relevant for shared memory and multicore machines. It also provides a basis through which to evaluate parallel programming performance versus overheads and other resource expenditure. Multicore Programming Using the ParC Language provides a firm basis for the 'delicate art' of creating efficient parallel programs. Students can exercise parallel programming using a simulation software, which is portable on PC/Unix multicore computers, to gain experience without requiring specialist hardware.  Readers can also tackle numerous exciting and challenging exercises at the end of each chapter. 
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