Da: Books From California, Simi Valley, CA, U.S.A.
EUR 111,68
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 138,13
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 137,27
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 137,89
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Da: Majestic Books, Hounslow, Regno Unito
EUR 145,90
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 138,12
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 151,36
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 159,61
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Da: Books Puddle, New York, NY, U.S.A.
EUR 169,01
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Aggiungi al carrelloCondizione: New. 1st edition NO-PA16APR2015-KAP.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 168,01
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Da: CitiRetail, Stevenage, Regno Unito
EUR 167,74
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. With the end of Moores Law, domain-specific architecture (DSA) has become a crucial mode of implementing future computing architectures. This book discusses the system-level design methodology of DSAs and their applications, providing a unified design process that guarantees functionality, performance, energy efficiency, and real-time responsiveness for the target application.DSAs often start from domain-specific algorithms or applications, analyzing the characteristics of algorithmic applications, such as computation, memory access, and communication, and proposing the heterogeneous accelerator architecture suitable for that particular application. This book places particular focus on accelerator hardware platforms and distributed systems for various novel applications, such as machine learning, data mining, neural networks, and graph algorithms, and also covers RISC-V open-source instruction sets. It briefly describes the system design methodology based on DSAs and presents the latest research results in academia around domain-specific acceleration architectures.Providing cutting-edge discussion of big data and artificial intelligence scenarios in contemporary industry and typical DSA applications, this book appeals to industry professionals as well as academicians researching the future of computing in these areas. This book explores the latest research in high performance domain-specific computer architectures for emerging applications, including Machine Learning and Neural Networks applications. The book discusses domain specific computing architectures and considers research issues related to the state-of-the art architectures in emerging domains. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Da: Revaluation Books, Exeter, Regno Unito
EUR 198,47
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Aggiungi al carrelloHardcover. Condizione: Brand New. 160 pages. 9.19x6.13x9.21 inches. In Stock.
Da: Grand Eagle Retail, Fairfield, OH, U.S.A.
EUR 158,18
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. With the end of Moores Law, domain-specific architecture (DSA) has become a crucial mode of implementing future computing architectures. This book discusses the system-level design methodology of DSAs and their applications, providing a unified design process that guarantees functionality, performance, energy efficiency, and real-time responsiveness for the target application.DSAs often start from domain-specific algorithms or applications, analyzing the characteristics of algorithmic applications, such as computation, memory access, and communication, and proposing the heterogeneous accelerator architecture suitable for that particular application. This book places particular focus on accelerator hardware platforms and distributed systems for various novel applications, such as machine learning, data mining, neural networks, and graph algorithms, and also covers RISC-V open-source instruction sets. It briefly describes the system design methodology based on DSAs and presents the latest research results in academia around domain-specific acceleration architectures.Providing cutting-edge discussion of big data and artificial intelligence scenarios in contemporary industry and typical DSA applications, this book appeals to industry professionals as well as academicians researching the future of computing in these areas. This book explores the latest research in high performance domain-specific computer architectures for emerging applications, including Machine Learning and Neural Networks applications. The book discusses domain specific computing architectures and considers research issues related to the state-of-the art architectures in emerging domains. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 193,66
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. With the end of Moores Law, domain-specific architecture (DSA) has become a crucial mode of implementing future computing architectures. This book discusses the system-level design methodology of DSAs and their applications, providing a unified design process that guarantees functionality, performance, energy efficiency, and real-time responsiveness for the target application.DSAs often start from domain-specific algorithms or applications, analyzing the characteristics of algorithmic applications, such as computation, memory access, and communication, and proposing the heterogeneous accelerator architecture suitable for that particular application. This book places particular focus on accelerator hardware platforms and distributed systems for various novel applications, such as machine learning, data mining, neural networks, and graph algorithms, and also covers RISC-V open-source instruction sets. It briefly describes the system design methodology based on DSAs and presents the latest research results in academia around domain-specific acceleration architectures.Providing cutting-edge discussion of big data and artificial intelligence scenarios in contemporary industry and typical DSA applications, this book appeals to industry professionals as well as academicians researching the future of computing in these areas. This book explores the latest research in high performance domain-specific computer architectures for emerging applications, including Machine Learning and Neural Networks applications. The book discusses domain specific computing architectures and considers research issues related to the state-of-the art architectures in emerging domains. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Da: moluna, Greven, Germania
EUR 145,75
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr. Chao Wang is a Professor with the University of Science and Technology of China, and also the Vice Dean of the School of Software Engineering. He serves as the Associate Editor of ACM TODAES and IEEE/ACM TCBB. Dr. Wang was the recipient.
Da: Revaluation Books, Exeter, Regno Unito
EUR 154,97
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Aggiungi al carrelloHardcover. Condizione: Brand New. 160 pages. 9.19x6.13x9.21 inches. In Stock. This item is printed on demand.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 161,07
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Aggiungi al carrelloHRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 168,90
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 171,24
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Aggiungi al carrelloHardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.