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2021 7th International Conference on Computing and Data Engineering
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Year: 2021 Publisher: New York NY : Association for Computing Machinery,

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2021 4th International Conference on Data Storage and Data Engineering
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Year: 2021 Publisher: New York NY : Association for Computing Machinery,

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The organization of reduction, data flow, and control flow systems
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ISBN: 0262610817 Year: 1992 Publisher: Cambridge, Mass. London : MIT Press

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Data flow computing : theory and practice
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Year: 1992 Publisher: Norwood, N.J. Ablex Pub. Corp.

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Book
Data orchestration in deep learning accelerators
Authors: --- --- --- ---
ISBN: 9781681738697 9781681738710 9781636391199 9783031000645 9781681738703 9783031017674 Year: 2020 Publisher: Kentfield, CA : Morgan & Claypool

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This Synthesis Lecture focuses on techniques for efficient data orchestration within DNN accelerators. The End of Moore's Law, coupled with the increasing growth in deep learning and other AI applications has led to the emergence of custom Deep Neural Network (DNN) accelerators for energy-efficient inference on edge devices. Modern DNNs have millions of hyper parameters and involve billions of computations; this necessitates extensive data movement from memory to on-chip processing engines. It is well known that the cost of data movement today surpasses the cost of the actual computation; therefore, DNN accelerators require careful orchestration of data across on-chip compute, network, and memory elements to minimize the number of accesses to external DRAM. The book covers DNN dataflows, data reuse, buffer hierarchies, networks-on-chip, and automated design-space exploration. It concludes with data orchestration challenges with compressed and sparse DNNs and future trends. The target audience is students, engineers, and researchers interested in designing high-performance and low-energy accelerators for DNN inference.


Book
Fundamentals of stream processing : application design, systems, and analytics
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ISBN: 1107439248 1107424003 1139058940 Year: 2014 Publisher: Cambridge : Cambridge University Press,

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Stream processing is a novel distributed computing paradigm that supports the gathering, processing and analysis of high-volume, heterogeneous, continuous data streams, to extract insights and actionable results in real time. This comprehensive, hands-on guide combining the fundamental building blocks and emerging research in stream processing is ideal for application designers, system builders, analytic developers, as well as students and researchers in the field. This book introduces the key components of the stream computing paradigm, including the distributed system infrastructure, the programming model, design patterns and streaming analytics. The explanation of the underlying theoretical principles, illustrative examples and implementations using the IBM InfoSphere Streams SPL language and real-world case studies provide students and practitioners with a comprehensive understanding of such applications and the middleware that supports them.


Book
Advances in computers.
Authors: --- --- ---
ISBN: 0128023422 0128021349 1336008911 9780128023426 9780128021347 9780128021347 Year: 2015 Publisher: Waltham, Massachusetts : Academic Press,

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Since its first volume in 1960, Advances in Computers has presented detailed coverage of innovations in computer hardware, software, theory, design, and applications. It has also provided contributors with a medium in which they can explore their subjects in greater depth and breadth than journal articles usually allow. As a result, many articles have become standard references that continue to be of significant, lasting value in this rapidly expanding field. In-depth surveys and tutorials on new computer technology. Well-known authors and researchers in the field. Extensive bibliographies with m

Advanced topics in data-flow computing
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ISBN: 013006503X Year: 1991 Publisher: Englewood Cliffs (N.J.) : Prentice-Hall,

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Book
Design of image processing embedded systems using multidimensional data flow
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ISBN: 9781441971814 Year: 2010 Publisher: New York : Springer,

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