Published by Elsevier Science & Technology, 2021
ISBN 10: 0128046058 ISBN 13: 9780128046050
Language: English
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Published by Elsevier Science & Technology, 2021
ISBN 10: 0128046058 ISBN 13: 9780128046050
Language: English
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Add to basketCondition: New. Über den AutorPeter Pacheco received a PhD in mathematics from Florida State University. After completing graduate school, he became one of the first professors in UCLA s Program in Computing,? which teaches basic computer science .
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Published by Elsevier Science and Technology, US, 2021
ISBN 10: 0128046058 ISBN 13: 9780128046050
Language: English
Seller: Rarewaves.com UK, London, United Kingdom
Paperback. Condition: New. An Introduction to Parallel Programming, Second Edition presents a tried-and-true tutorial approach that shows students how to develop effective parallel programs with MPI, Pthreads and OpenMP.As the first undergraduate text to directly address compiling and running parallel programs on multi-core and cluster architecture, this second edition carries forward its clear explanations for designing, debugging and evaluating the performance of distributed and shared-memory programs while adding coverage of accelerators via new content on GPU programming and heterogeneous programming. New and improved user-friendly exercises teach students how to compile, run and modify example programs.
Published by Elsevier Science and Technology, US, 2021
ISBN 10: 0128046058 ISBN 13: 9780128046050
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Paperback. Condition: New. An Introduction to Parallel Programming, Second Edition presents a tried-and-true tutorial approach that shows students how to develop effective parallel programs with MPI, Pthreads and OpenMP.As the first undergraduate text to directly address compiling and running parallel programs on multi-core and cluster architecture, this second edition carries forward its clear explanations for designing, debugging and evaluating the performance of distributed and shared-memory programs while adding coverage of accelerators via new content on GPU programming and heterogeneous programming. New and improved user-friendly exercises teach students how to compile, run and modify example programs.