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Condition: New. pp. 450.
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Add to basketPaperback. Condition: Brand New. 2nd edition. 468 pages. 9.50x7.75x0.75 inches. In Stock.
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Language: English
Published by Morgan Kaufmann 2020-03-01, 2020
ISBN 10: 0128046058 ISBN 13: 9780128046050
Seller: Chiron Media, Wallingford, United Kingdom
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Add to basketPaperback. Condition: New.
Condition: New. pp. 450 2nd edition NO-PA16APR2015-KAP.
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Add to basketCondition: As New. Unread book in perfect condition.
Condition: New. pp. 450.
Language: English
Published by Elsevier Science and Technology, US, 2021
ISBN 10: 0128046058 ISBN 13: 9780128046050
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.
Condition: New. Takes a tutorial approach, starting with small programming examples and building progressively to more challenging examples Explains how to develop parallel programs using MPI, Pthreads and OpenMP programming models A robust packa.
Language: English
Published by Elsevier Science and Technology, US, 2021
ISBN 10: 0128046058 ISBN 13: 9780128046050
Seller: Rarewaves.com UK, London, United Kingdom
US$ 114.50
Quantity: 1 available
Add to basketPaperback. 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.