Lingua: Inglese
Editore: Engineering Science Reference, 2020
ISBN 10: 1522593845 ISBN 13: 9781522593843
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Lingua: Inglese
Editore: Engineering Science Reference, 2020
ISBN 10: 1522593845 ISBN 13: 9781522593843
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Lingua: Inglese
Editore: Engineering Science Reference, 2020
ISBN 10: 1522593845 ISBN 13: 9781522593843
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Lingua: Inglese
Editore: Engineering Science Reference, 2020
ISBN 10: 1522593845 ISBN 13: 9781522593843
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Lingua: Inglese
Editore: Engineering Science Reference, 2020
ISBN 10: 1522593845 ISBN 13: 9781522593843
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Lingua: Inglese
Editore: Engineering Science Reference, 2020
ISBN 10: 1522593845 ISBN 13: 9781522593843
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Solves the problem of the development of efficient models, methods, and tools for parallel programming automation based on the algebra of algorithms, term rewriting, and auto-tuning paradigms. The results of this book will help to further improve research o.
Lingua: Inglese
Editore: Engineering Science Reference, 2020
ISBN 10: 1522593845 ISBN 13: 9781522593843
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 280,49
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Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Emerging scientific and industrial applications in today's world require significant computing power. Modern software tools are available for such platforms but are relatively complex and require the use of innovative programming models. One promising area in modern software design is the development, analysis, and implementation of algorithms and adaptive methods. These advancements in programming are promising but lack relevant research and understanding. Formal and Adaptive Methods for Automation of Parallel Programs Construction: Emerging Research and Opportunities is an essential reference source that solves the problem of the development of efficient models, methods, and tools for parallel programming automation based on the algebra of algorithms, term rewriting, and auto-tuning paradigms. The results of this book will help to further develop and improve existing research on design, synthesis, and optimization of sequential and parallel algorithms and programs. Featuring research on topics such as auto-tuning methods, graphics processing, and algorithmic language, this book is ideally designed for mathematicians, software engineers, data scientists, researchers, academicians, and students seeking coverage on developing tools for automated design and parallel programs.