Idioma: Inglés
Publicado por Cambridge University Press, 2016
ISBN 10: 1107098866 ISBN 13: 9781107098862
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Idioma: Inglés
Publicado por Springer International Publishing AG, CH, 2018
ISBN 10: 3031006313 ISBN 13: 9783031006319
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Añadir al carritoPaperback. Condición: New. Originally developed to support video games, graphics processor units (GPUs) are now increasingly used for general-purpose (non-graphics) applications ranging from machine learning to mining of cryptographic currencies. GPUs can achieve improved performance and efficiency versus central processing units (CPUs) by dedicating a larger fraction of hardware resources to computation. In addition, their general-purpose programmability makes contemporary GPUs appealing to software developers in comparison to domain-specific accelerators. This book provides an introduction to those interested in studying the architecture of GPUs that support general-purpose computing. It collects together information currently only found among a wide range of disparate sources. The authors led development of the GPGPU-Sim simulator widely used in academic research on GPU architectures.The first chapter of this book describes the basic hardware structure of GPUs and provides a brief overview of theirhistory. Chapter 2 provides a summary of GPU programming models relevant to the rest of the book. Chapter 3 explores the architecture of GPU compute cores. Chapter 4 explores the architecture of the GPU memory system. After describing the architecture of existing systems, Chapters 3 and 4 provide an overview of related research. Chapter 5 summarizes cross-cutting research impacting both the compute core and memory system.This book should provide a valuable resource for those wishing to understand the architecture of graphics processor units (GPUs) used for acceleration of general-purpose applications and to those who want to obtain an introduction to the rapidly growing body of research exploring how to improve the architecture of these GPUs.
Idioma: Inglés
Publicado por Cambridge University Press, 2015
ISBN 10: 1107098866 ISBN 13: 9781107098862
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Añadir al carritoCondición: New. 1st edition NO-PA16APR2015-KAP.
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Idioma: Inglés
Publicado por Cambridge University Press, 2016
ISBN 10: 1107098866 ISBN 13: 9781107098862
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Idioma: Inglés
Publicado por Cambridge University Press, 2016
ISBN 10: 1107098866 ISBN 13: 9781107098862
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Idioma: Inglés
Publicado por Cambridge University Press, 2016
ISBN 10: 1107098866 ISBN 13: 9781107098862
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Idioma: Inglés
Publicado por Cambridge University Press, 2016
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Idioma: Inglés
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Idioma: Inglés
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Idioma: Inglés
Publicado por Cambridge University Press, 2016
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Añadir al carritoCondición: New. pp. 721.
Idioma: Inglés
Publicado por Cambridge University Press, 2016
ISBN 10: 1107098866 ISBN 13: 9781107098862
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Idioma: Inglés
Publicado por Springer International Publishing AG, CH, 2018
ISBN 10: 3031006313 ISBN 13: 9783031006319
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Añadir al carritoPaperback. Condición: New. Originally developed to support video games, graphics processor units (GPUs) are now increasingly used for general-purpose (non-graphics) applications ranging from machine learning to mining of cryptographic currencies. GPUs can achieve improved performance and efficiency versus central processing units (CPUs) by dedicating a larger fraction of hardware resources to computation. In addition, their general-purpose programmability makes contemporary GPUs appealing to software developers in comparison to domain-specific accelerators. This book provides an introduction to those interested in studying the architecture of GPUs that support general-purpose computing. It collects together information currently only found among a wide range of disparate sources. The authors led development of the GPGPU-Sim simulator widely used in academic research on GPU architectures.The first chapter of this book describes the basic hardware structure of GPUs and provides a brief overview of theirhistory. Chapter 2 provides a summary of GPU programming models relevant to the rest of the book. Chapter 3 explores the architecture of GPU compute cores. Chapter 4 explores the architecture of the GPU memory system. After describing the architecture of existing systems, Chapters 3 and 4 provide an overview of related research. Chapter 5 summarizes cross-cutting research impacting both the compute core and memory system.This book should provide a valuable resource for those wishing to understand the architecture of graphics processor units (GPUs) used for acceleration of general-purpose applications and to those who want to obtain an introduction to the rapidly growing body of research exploring how to improve the architecture of these GPUs.
Idioma: Inglés
Publicado por Cambridge University Press, 2016
ISBN 10: 1107098866 ISBN 13: 9781107098862
Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Idioma: Inglés
Publicado por Springer International Publishing, 2018
ISBN 10: 3031006313 ISBN 13: 9783031006319
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Originally developed to support video games, graphics processor units (GPUs) are now increasingly used for general-purpose (non-graphics) applications ranging from machine learning to mining of cryptographic currencies. GPUs can achieve improved performance and efficiency versus central processing units (CPUs) by dedicating a larger fraction of hardware resources to computation. In addition, their general-purpose programmability makes contemporary GPUs appealing to software developers in comparison to domain-specific accelerators. This book provides an introduction to those interested in studying the architecture of GPUs that support general-purpose computing. It collects together information currently only found among a wide range of disparate sources. The authors led development of the GPGPU-Sim simulator widely used in academic research on GPU architectures.The first chapter of this book describes the basic hardware structure of GPUs and provides a brief overview of theirhistory. Chapter 2 provides a summary of GPU programming models relevant to the rest of the book. Chapter 3 explores the architecture of GPU compute cores. Chapter 4 explores the architecture of the GPU memory system. After describing the architecture of existing systems, Chapters 3 and 4 provide an overview of related research. Chapter 5 summarizes cross-cutting research impacting both the compute core and memory system.This book should provide a valuable resource for those wishing to understand the architecture of graphics processor units (GPUs) used for acceleration of general-purpose applications and to those who want to obtain an introduction to the rapidly growing body of research exploring how to improve the architecture of these GPUs.
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Añadir al carritoTaschenbuch. Condición: Neu. General-Purpose Graphics Processor Architectures | Tor M. Aamodt (u. a.) | Taschenbuch | Synthesis Lectures on Computer Architecture | xviii | Englisch | 2018 | Springer | EAN 9783031006319 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Añadir al carritoHardcover. Condición: Brand New. 1st edition. 721 pages. 10.25x8.00x1.25 inches. In Stock.
Idioma: Inglés
Publicado por Cambridge University Press, 2016
ISBN 10: 1107098866 ISBN 13: 9781107098862
Librería: Mispah books, Redhill, SURRE, Reino Unido
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Añadir al carritoCondición: new. Questo è un articolo print on demand.
Idioma: Inglés
Publicado por Springer International Publishing AG, Cham, 2018
ISBN 10: 3031006313 ISBN 13: 9783031006319
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Añadir al carritoPaperback. Condición: new. Paperback. Originally developed to support video games, graphics processor units (GPUs) are now increasingly used for general-purpose (non-graphics) applications ranging from machine learning to mining of cryptographic currencies. GPUs can achieve improved performance and efficiency versus central processing units (CPUs) by dedicating a larger fraction of hardware resources to computation. In addition, their general-purpose programmability makes contemporary GPUs appealing to software developers in comparison to domain-specific accelerators. This book provides an introduction to those interested in studying the architecture of GPUs that support general-purpose computing. It collects together information currently only found among a wide range of disparate sources. The authors led development of the GPGPU-Sim simulator widely used in academic research on GPU architectures.The first chapter of this book describes the basic hardware structure of GPUs and provides a brief overview of theirhistory. Chapter 2 provides a summary of GPU programming models relevant to the rest of the book. Chapter 3 explores the architecture of GPU compute cores. Chapter 4 explores the architecture of the GPU memory system. After describing the architecture of existing systems, Chapters 3 and 4 provide an overview of related research. Chapter 5 summarizes cross-cutting research impacting both the compute core and memory system.This book should provide a valuable resource for those wishing to understand the architecture of graphics processor units (GPUs) used for acceleration of general-purpose applications and to those who want to obtain an introduction to the rapidly growing body of research exploring how to improve the architecture of these GPUs. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.