Multicore and GPU Programming: An Integrated Approach

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9780124171374: Multicore and GPU Programming: An Integrated Approach
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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

Biografía 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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Gerassimos Barlas
Editorial: ELSEVIER SCIENCE TECHNOLOGY, United States (2015)
ISBN 10: 0124171370 ISBN 13: 9780124171374
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Descripción ELSEVIER SCIENCE TECHNOLOGY, United States, 2015. Paperback. Estado de conservación: New. 1st edition. 232 x 188 mm. Language: English . Brand New Book. 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. de la librería AA59780124171374

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Gerassimos Barlas
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Gerassimos Barlas
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Descripción ELSEVIER SCIENCE TECHNOLOGY, United States, 2014. Paperback. Estado de conservación: New. 1st edition. 232 x 188 mm. Language: English . Brand New Book. 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. Nº de ref. de la librería AA59780124171374

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Descripción Estado de conservación: Brand New. Brand New Original US Edition, Perfect Condition. Printed in English. Excellent Quality, Service and customer satisfaction guaranteed!. Nº de ref. de la librería AIND-66383

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Descripción Elsevier Science & Technology. Paperback. Estado de conservación: new. BRAND NEW, Multicore and GPU Programming: An Integrated Approach, Gerassimos Barlas, 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. de la librería B9780124171374

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