Editore: Cambridge University Press, 2017
ISBN 10: 1107174392 ISBN 13: 9781107174399
Lingua: Inglese
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 98,98
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Editore: Cambridge University Press, Cambridge, 2017
ISBN 10: 1107174392 ISBN 13: 9781107174399
Lingua: Inglese
Da: Grand Eagle Retail, Mason, OH, U.S.A.
EUR 98,99
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. The constantly increasing demand for more computing power can seem impossible to keep up with. However, multicore processors capable of performing computations in parallel allow computers to tackle ever larger problems in a wide variety of applications. This book provides a comprehensive introduction to parallel computing, discussing theoretical issues such as the fundamentals of concurrent processes, models of parallel and distributed computing, and metrics for evaluating and comparing parallel algorithms, as well as practical issues, including methods of designing and implementing shared- and distributed-memory programs, and standards for parallel program implementation, in particular MPI and OpenMP interfaces. Each chapter presents the basics in one place followed by advanced topics, allowing novices and experienced practitioners to quickly find what they need. A glossary and more than 80 exercises with selected solutions aid comprehension. The book is recommended as a text for advanced undergraduate or graduate students and as a reference for practitioners. This comprehensive introduction to parallel computing is for students and practitioners alike. It covers both theoretical and practical issues, including fundamentals of concurrent processes, metrics for evaluating and comparing parallel algorithms, and standards for parallel program implementation, in particular MPI and OpenMP interfaces. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Editore: Cambridge University Press, 2017
ISBN 10: 1107174392 ISBN 13: 9781107174399
Lingua: Inglese
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 93,96
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Editore: Cambridge University Press, 2017
ISBN 10: 1107174392 ISBN 13: 9781107174399
Lingua: Inglese
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 97,72
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Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days. 900.
EUR 97,34
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Aggiungi al carrelloHardcover. Condizione: Brand New. 1st edition. 378 pages. 10.50x7.25x1.00 inches. In Stock.
Editore: Cambridge University Press, Cambridge, 2017
ISBN 10: 1107174392 ISBN 13: 9781107174399
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
EUR 96,95
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. The constantly increasing demand for more computing power can seem impossible to keep up with. However, multicore processors capable of performing computations in parallel allow computers to tackle ever larger problems in a wide variety of applications. This book provides a comprehensive introduction to parallel computing, discussing theoretical issues such as the fundamentals of concurrent processes, models of parallel and distributed computing, and metrics for evaluating and comparing parallel algorithms, as well as practical issues, including methods of designing and implementing shared- and distributed-memory programs, and standards for parallel program implementation, in particular MPI and OpenMP interfaces. Each chapter presents the basics in one place followed by advanced topics, allowing novices and experienced practitioners to quickly find what they need. A glossary and more than 80 exercises with selected solutions aid comprehension. The book is recommended as a text for advanced undergraduate or graduate students and as a reference for practitioners. This comprehensive introduction to parallel computing is for students and practitioners alike. It covers both theoretical and practical issues, including fundamentals of concurrent processes, metrics for evaluating and comparing parallel algorithms, and standards for parallel program implementation, in particular MPI and OpenMP interfaces. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Editore: Cambridge University Press, Cambridge, 2017
ISBN 10: 1107174392 ISBN 13: 9781107174399
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 113,78
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. The constantly increasing demand for more computing power can seem impossible to keep up with. However, multicore processors capable of performing computations in parallel allow computers to tackle ever larger problems in a wide variety of applications. This book provides a comprehensive introduction to parallel computing, discussing theoretical issues such as the fundamentals of concurrent processes, models of parallel and distributed computing, and metrics for evaluating and comparing parallel algorithms, as well as practical issues, including methods of designing and implementing shared- and distributed-memory programs, and standards for parallel program implementation, in particular MPI and OpenMP interfaces. Each chapter presents the basics in one place followed by advanced topics, allowing novices and experienced practitioners to quickly find what they need. A glossary and more than 80 exercises with selected solutions aid comprehension. The book is recommended as a text for advanced undergraduate or graduate students and as a reference for practitioners. This comprehensive introduction to parallel computing is for students and practitioners alike. It covers both theoretical and practical issues, including fundamentals of concurrent processes, metrics for evaluating and comparing parallel algorithms, and standards for parallel program implementation, in particular MPI and OpenMP interfaces. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.