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Compiling Algorithms for Heterogeneous Systems (Synthesis Lectures on Computer Architecture)
Published by Morgan & Claypool Publishers, 2018
ISBN 10: 162705961X ISBN 13: 9781627059619
Language: English
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Compiling Algorithms for Heterogeneous Systems (Synthesis Lectures on Computer Architecture)
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Compiling Algorithms for Heterogeneous Systems (Synthesis Lectures on Computer Architecture)
Published by Morgan & Claypool Publishers, 2018
ISBN 10: 1681732637 ISBN 13: 9781681732633
Language: English
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Compiling Algorithms for Heterogeneous Systems
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Compiling Algorithms for Heterogeneous Systems (Synthesis Lectures on Computer Architecture)
Published by Morgan & Claypool Publishers, 2018
ISBN 10: 1681732637 ISBN 13: 9781681732633
Language: English
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Compiling Algorithms for Heterogeneous Systems
Published by Springer, Berlin, Springer International Publishing, Morgan & Claypool, Springer, 2018
ISBN 10: 3031000552 ISBN 13: 9783031000553
Language: English
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Most emerging applications in imaging and machine learning must perform immense amounts of computation while holding to strict limits on energy and power. To meet these goals, architects are building increasingly specialized compute engines tailored for these specific tasks. The resulting computer systems are heterogeneous, containing multiple processing cores with wildly different execution models. Unfortunately, the cost of producing this specialized hardware-and the software to control it-is astronomical. Moreover, the task of porting algorithms to these heterogeneous machines typically requires that the algorithm be partitioned across the machine and rewritten for each specific architecture, which is time consuming and prone to error.Over the last several years, the authors have approached this problem using domain-specific languages (DSLs): high-level programming languages customized for specific domains, such as database manipulation, machine learning, or image processing. By giving up generality, these languages are able to provide high-level abstractions to the developer while producing high-performance output. The purpose of this book is to spur the adoption and the creation of domain-specific languages, especially for the task of creating hardware designs.In the first chapter, a short historical journey explains the forces driving computer architecture today. Chapter 2 describes the various methods for producing designs for accelerators, outlining the push for more abstraction and the tools that enable designers to work at a higher conceptual level. From there, Chapter 3 provides a brief introduction to image processing algorithms and hardware design patterns for implementing them. Chapters 4 and 5 describe and compare Darkroom and Halide, two domain-specific languages created for image processing that produce high-performance designs for both FPGAs and CPUs from the same source code, enabling rapid design cycles and quick porting of algorithms. The final section describes how the DSL approach also simplifies the problem of interfacing between application code and the accelerator by generating the driver stack in addition to the accelerator configuration.This book should serve as a useful introduction to domain-specialized computing for computer architecture students and as a primer on domain-specific languages and image processing hardware for those with more experience in the field.
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Compiling Algorithms for Heterogeneous Systems
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Compiling Algorithms for Heterogeneous Systems (Synthesis Lectures on Computer Architecture)
Published by Morgan & Claypool Publishers, 2018
ISBN 10: 1681732637 ISBN 13: 9781681732633
Language: English
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Compiling Algorithms for Heterogeneous Systems (Synthesis Lectures on Computer Architecture)
Published by Morgan & Claypool Publishers, 2018
ISBN 10: 1681732637 ISBN 13: 9781681732633
Language: English
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Compiling Algorithms for Heterogeneous Systems
Published by Berlin Springer International Publishing Springer Jan 2018, 2018
ISBN 10: 3031000552 ISBN 13: 9783031000553
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Add to basketBuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Most emerging applications in imaging and machine learning must perform immense amounts of computation while holding to strict limits on energy and power. To meet these goals, architects are building increasingly specialized compute engines tailored for these specific tasks. The resulting computer systems are heterogeneous, containing multiple processing cores with wildly different execution models. Unfortunately, the cost of producing this specialized hardware-and the software to control it-is astronomical. Moreover, the task of porting algorithms to these heterogeneous machines typically requires that the algorithm be partitioned across the machine and rewritten for each specific architecture, which is time consuming and prone to error.Over the last several years, the authors have approached this problem using domain-specific languages (DSLs): high-level programming languages customized for specific domains, such as database manipulation, machine learning, or image processing. By giving up generality, these languages are able to provide high-level abstractions to the developer while producing high-performance output. The purpose of this book is to spur the adoption and the creation of domain-specific languages, especially for the task of creating hardware designs.In the first chapter, a short historical journey explains the forces driving computer architecture today. Chapter 2 describes the various methods for producing designs for accelerators, outlining the push for more abstraction and the tools that enable designers to work at a higher conceptual level. From there, Chapter 3 provides a brief introduction to image processing algorithms and hardware design patterns for implementing them. Chapters 4 and 5 describe and compare Darkroom and Halide, two domain-specific languages created for image processing that produce high-performance designs for both FPGAs and CPUs from the same source code, enabling rapid design cycles and quick porting of algorithms. The final section describes how the DSL approach also simplifies the problem of interfacing between application code and the accelerator by generating the driver stack in addition to the accelerator configuration.This book should serve as a useful introduction to domain-specialized computing for computer architecture students and as a primer on domain-specific languages and image processing hardware for those with more experience in the field. 89 pp. Englisch.
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Compiling Algorithms for Heterogeneous Systems
Published by Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer, 2018
ISBN 10: 3031000552 ISBN 13: 9783031000553
Language: English
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Most emerging applications in imaging and machine learning must perform immense amounts of computation while holding to strict limits on energy and power. To meet these goals, architects are building increasingly specialized compute engines tailored for .
