Published by Morgan Kaufmann (edition 1), 2014
ISBN 10: 0124171370 ISBN 13: 9780124171374
Language: English
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Published by Elsevier LTD Aug 2022, 2022
ISBN 10: 0128141204 ISBN 13: 9780128141205
Language: English
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Add to basketTaschenbuch. Condition: Neu. Neuware - Multicore and GPU Programming: An Integrated Approach, Second Edition offers broad coverage of key parallel computing tools, essential for multi-core CPU programming and many-core 'massively parallel' computing. Using threads, OpenMP, MPI, CUDA and other state-of-the-art tools, the book teaches the design and development of software capable of taking advantage of modern computing platforms that incorporate CPUs, GPUs and other accelerators.
Published by Elsevier Science & Technology, 2022
ISBN 10: 0128141204 ISBN 13: 9780128141205
Language: English
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Published by Elsevier Science & Technology, 2022
ISBN 10: 0128141204 ISBN 13: 9780128141205
Language: English
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Add to basketTaschenbuch. Condition: 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.