书目名称 | DataFlow Supercomputing Essentials | 副标题 | Research, Developmen | 编辑 | Veljko Milutinovic,Jakob Salom,Luka Petrovic | 视频video | | 概述 | Reviews the advantages of the DataFlow paradigm for supercomputing.Introduces the DataFlow programming model.Provides a selection of research analyses, implementation case studies, and tutorials on Da | 丛书名称 | Computer Communications and Networks | 图书封面 |  | 描述 | .This informative text/reference highlights the potential of DataFlow computing in research requiring high speeds, low power requirements, and high precision, while also benefiting from a reduction in the size of the equipment. The cutting-edge research and implementation case studies provided in this book will help the reader to develop their practical understanding of the advantages and unique features of this methodology..This work serves as a companion title to .DataFlow Supercomputing Essentials: Algorithms, Applications and Implementations., which reviews the key algorithms in this area, and provides useful examples..Topics and features: reviews the library of tools, applications, and source code available to support DataFlow programming; discusses the enhancements to DataFlow computing yielded by small hardware changes, different compilation techniques, debugging, and optimizing tools; examines when a DataFlow architecture is best applied, and for which types of calculation; describes how converting applications to a DataFlow representation can result in an acceleration in performance, while reducing the power consumption; explains how to implement a DataFlow application on | 出版日期 | Book 2017 | 关键词 | DataFlow; Big Data; Supercomputing; Field-programmable gate array; Neural networks | 版次 | 1 | doi | https://doi.org/10.1007/978-3-319-66128-5 | isbn_softcover | 978-3-319-88184-3 | isbn_ebook | 978-3-319-66128-5Series ISSN 1617-7975 Series E-ISSN 2197-8433 | issn_series | 1617-7975 | copyright | Springer International Publishing AG 2017 |
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