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Synopsis
This book presents various novel architectures for FPGA-optimized accurate and approximate operators, their detailed accuracy and performance analysis, various techniques to model the behavior of approximate operators, and thorough application-level analysis to evaluate the impact of approximations on the final output quality and performance metrics. As multiplication is one of the most commonly used and computationally expensive operations in various error-resilient applications such as digital signal and image processing and machine learning algorithms, this book particularly focuses on this operation. The book starts by elaborating on the various sources of error resilience and opportunities available for approximations on various layers of the computation stack. It then provides a detailed description of the state-of-the-art approximate computing-related works and highlights their limitations.
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À propos de l?auteur
Salim Ullah received the Ph.D. degree with Summa Cum Laude in Computer Science, from Technische Universität Dresden (TUD), Dresden, Germany, in 2021. Currently, he is a postdoctoral research associate at the Chair of Processor Design, TUD, Germany. His current research interests include the design of approximate arithmetic units, approximate caches, reconfigurable computing, and hardware accelerators of AI and machine learning algorithms.
Akash Kumar received the joint Ph.D. degree in electrical engineering and embedded systems from the Eindhoven University of Technology, Eindhoven, The Netherlands, and the National University of Singapore (NUS), Singapore, in 2009. From 2009 to 2015, he was with NUS. He is currently a Professor at Technische Universität Dresden, Dresden, Germany, where he is directing the Chair of Processor Design. His current research interests include the design, analysis, and resource management of low-power and fault-tolerant-embedded multiprocessor systems.
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Approximate Arithmetic Circuit Architectures for FPGA-based Systems
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Approximate Arithmetic Circuit Architectures for FPGA-based Systems
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book presents various novel architectures for FPGA-optimized accurate and approximate operators, their detailed accuracy and performance analysis, various techniques to model the behavior of approximate operators, and thorough application-level anal. N° de réf. du vendeur 732828657
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Approximate Arithmetic Circuit Architectures for FPGA-based Systems
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Springer International Publishing, 2023
ISBN 10 : 3031212932
ISBN 13 : 9783031212932
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents various novel architectures for FPGA-optimized accurate and approximate operators, their detailed accuracy and performance analysis, various techniques to model the behavior of approximate operators, and thorough application-level analysis to evaluate the impact of approximations on the final output quality and performance metrics. As multiplication is one of the most commonly used and computationally expensive operations in various error-resilient applications such as digital signal and image processing and machine learning algorithms, this book particularly focuses on this operation. The book starts by elaborating on the various sources of error resilience and opportunities available for approximations on various layers of the computation stack. It then provides a detailed description of the state-of-the-art approximate computing-related works and highlights their limitations. N° de réf. du vendeur 9783031212932
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Approximate Arithmetic Circuit Architectures for FPGA-based Systems
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ISBN 10 : 3031212932
ISBN 13 : 9783031212932
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents various novel architectures for FPGA-optimized accurate and approximate operators, their detailed accuracy and performance analysis, various techniques to model the behavior of approximate operators, and thorough application-level analysis to evaluate the impact of approximations on the final output quality and performance metrics. As multiplication is one of the most commonly used and computationally expensive operations in various error-resilient applications such as digital signal and image processing and machine learning algorithms, this book particularly focuses on this operation. The book starts by elaborating on the various sources of error resilience and opportunities available for approximations on various layers of the computation stack. It then provides a detailed description of the state-of-the-art approximate computing-related works and highlights their limitations. 196 pp. Englisch. N° de réf. du vendeur 9783031212932
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Approximate Arithmetic Circuit Architectures for FPGA-based Systems
ISBN 10 : 3031212932
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Buch. Etat : Neu. Neuware -This book presents various novel architectures for FPGA-optimized accurate and approximate operators, their detailed accuracy and performance analysis, various techniques to model the behavior of approximate operators, and thorough application-level analysis to evaluate the impact of approximations on the final output quality and performance metrics. As multiplication is one of the most commonly used and computationally expensive operations in various error-resilient applications such as digital signal and image processing and machine learning algorithms, this book particularly focuses on this operation. The book starts by elaborating on the various sources of error resilience and opportunities available for approximations on various layers of the computation stack. It then provides a detailed description of the state-of-the-art approximate computing-related works and highlights their limitations.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 196 pp. Englisch. N° de réf. du vendeur 9783031212932
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