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Sinopsis
Multicore and GPU Programming offers broad coverage of the key parallel computing skillsets: multicore CPU programming and manycore "massively parallel" computing. Using threads, OpenMP, MPI, and CUDA, it teaches the design and development of software capable of taking advantage of today's computing platforms incorporating CPU and GPU hardware and explains how to transition from sequential programming to a parallel computing paradigm. Presenting material refined over more than a decade of teaching parallel computing, author Gerassimos Barlas minimizes the challenge with multiple examples, extensive case studies, and full source code. Using this book, you can develop programs that run over distributed memory machines using MPI, create multi-threaded applications with either libraries or directives, write optimized applications that balance the workload between available computing resources, and profile and debug programs targeting multicore machines.
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Acerca del autor
Gerassimos Barlas is a Professor with the Computer Science & Engineering Department, American University of Sharjah, Sharjah, UAE. His research interest includes parallel algorithms, development, analysis and modeling frameworks for load balancing, and distributed Video on-Demand. Prof. Barlas has taught parallel computing for more than 12 years, has been involved with parallel computing since the early 90s, and is active in the emerging field of Divisible Load Theory for parallel and distributed systems.
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Multicore and GPU Programming: An Integrated Approach
Publicado por
Morgan Kaufmann, 2014
ISBN 10: 0124171370
ISBN 13: 9780124171374
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Tapa blanda
Librería: SecondSale, Montgomery, IL, Estados Unidos de America
Calificación del vendedor: 4 de 5 estrellas
Condición: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc. Nº de ref. del artículo: 00072041257
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Multicore and GPU Programming: An Integrated Approach
Publicado por
Morgan Kaufmann (edition 1), 2014
ISBN 10: 0124171370
ISBN 13: 9780124171374
Antiguo o usado
Paperback
Librería: BooksRun, Philadelphia, PA, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: Good. 1. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported. Nº de ref. del artículo: 0124171370-11-1
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Multicore and GPU Programming: An Integrated Approach
Publicado por
Morgan Kaufmann, 2014
ISBN 10: 0124171370
ISBN 13: 9780124171374
Antiguo o usado
paperback
Librería: HPB-Red, Dallas, TX, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
paperback. Condición: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Nº de ref. del artículo: S_425957549
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Multicore and GPU Programming
Impresión bajo demandaLibrería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Multicore and GPU Programming offers broad coverage of the key parallel computing skillsets: multicore CPU programming and manycore 'massively parallel' computing. Using threads, OpenMP, MPI, and CUDA, it teaches the design and development of software capable of taking advantage of today's computing platforms incorporating CPU and GPU hardware and explains how to transition from sequential programming to a parallel computing paradigm. Presenting material refined over more than a decade of teaching parallel computing, author Gerassimos Barlas minimizes the challenge with multiple examples, extensive case studies, and full source code. Using this book, you can develop programs that run over distributed memory machines using MPI, create multi-threaded applications with either libraries or directives, write optimized applications that balance the workload between available computing resources, and profile and debug programs targeting multicore machines. Comprehensive coverage of all major multicore programming tools, including threads, OpenMP, MPI, and CUDA Demonstrates parallel programming design patterns and examples of how different tools and paradigms can be integrated for superior performance Particular focus on the emerging area of divisible load theory and its impact on load balancing and distributed systems Download source code, examples, and instructor support materials on the book's companion website 698 pp. Englisch. Nº de ref. del artículo: 9780124171374
Cantidad disponible: 2 disponibles
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Multicore and Gpu Programming
Publicado por
Morgan Kaufmann, 2014
ISBN 10: 0124171370
ISBN 13: 9780124171374
Nuevo
Kartoniert / Broschiert
Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Multicore and GPU Programming offers broad coverage of the key parallel computing skillsets: multicore CPU programming and manycore massively parallel computing. Using threads, OpenMP, MPI, and CUDA, it teaches the design and development of soft. Nº de ref. del artículo: 151151370
Cantidad disponible: Más de 20 disponibles
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Multicore and GPU Programming : An Integrated Approach
Impresión bajo demandaLibrería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Multicore and GPU Programming offers broad coverage of the key parallel computing skillsets: multicore CPU programming and manycore 'massively parallel' computing. Using threads, OpenMP, MPI, and CUDA, it teaches the design and development of software capable of taking advantage of today's computing platforms incorporating CPU and GPU hardware and explains how to transition from sequential programming to a parallel computing paradigm. Presenting material refined over more than a decade of teaching parallel computing, author Gerassimos Barlas minimizes the challenge with multiple examples, extensive case studies, and full source code. Using this book, you can develop programs that run over distributed memory machines using MPI, create multi-threaded applications with either libraries or directives, write optimized applications that balance the workload between available computing resources, and profile and debug programs targeting multicore machines. Comprehensive coverage of all major multicore programming tools, including threads, OpenMP, MPI, and CUDA Demonstrates parallel programming design patterns and examples of how different tools and paradigms can be integrated for superior performance Particular focus on the emerging area of divisible load theory and its impact on load balancing and distributed systems Download source code, examples, and instructor support materials on the book's companion website. Nº de ref. del artículo: 9780124171374
Cantidad disponible: 1 disponibles
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Multicore and GPU Programming: An Integrated Approach
Librería: GoldBooks, Denver, CO, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: new. New Copy. Customer Service Guaranteed. Nº de ref. del artículo: 9C73_91_0124171370
Cantidad disponible: 1 disponibles