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Titlebook: Exploring the DataFlow Supercomputing Paradigm; Example Algorithms f Veljko Milutinovic,Milos Kotlar Book 2019 Springer Nature Switzerland

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書目名稱Exploring the DataFlow Supercomputing Paradigm
副標(biāo)題Example Algorithms f
編輯Veljko Milutinovic,Milos Kotlar
視頻videohttp://file.papertrans.cn/320/319624/319624.mp4
概述Addresses theoretical issues in the implementation of the DataFlow model.Examines a range of mathematical applications that benefit from the use of the DataFlow paradigm.Presents a varied selection of
叢書名稱Computer Communications and Networks
圖書封面Titlebook: Exploring the DataFlow Supercomputing Paradigm; Example Algorithms f Veljko Milutinovic,Milos Kotlar Book 2019 Springer Nature Switzerland
描述This useful text/reference describes the implementation of a varied selection of algorithms in the DataFlow paradigm, highlighting the exciting potential of DataFlow computing for applications in such areas as image understanding, biomedicine, physics simulation, and business..The mapping of additional algorithms onto the DataFlow architecture is also covered in the following Springer titles from the same team:?.DataFlow Supercomputing Essentials: Research, Development and Education.,?.DataFlow Supercomputing Essentials: Algorithms, Applications and Implementations., and?.Guide to DataFlow Supercomputing...Topics and Features: introduces a novel method of graph partitioning for large graphs involving the construction of a skeleton graph; describes a cloud-supported web-based integrated development environment that can develop and run programs without DataFlow hardware owned by the user; showcases a new approach for the calculation of the extrema of functions in one dimension, by implementing the Golden Section Search algorithm; reviews algorithms for a DataFlow architecture that uses matrices and vectors as the underlying data structure; presents an algorithm for spherical code des
出版日期Book 2019
關(guān)鍵詞Big data; DataFlow; Supercomputing; FPGA; Performance evaluation
版次1
doihttps://doi.org/10.1007/978-3-030-13803-5
isbn_softcover978-3-030-13805-9
isbn_ebook978-3-030-13803-5Series ISSN 1617-7975 Series E-ISSN 2197-8433
issn_series 1617-7975
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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Matrix-Based Algorithms for DataFlow Computer Architecture: An Overview and Comparisonow algorithms usually run as an optimized part of a classical control-flow procedure, which includes reading, writing, and other manipulation of data in such a way that it is easily processed by the dataflow part. Such data handling is usually referred to as data choreography and, in order to obtain
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Biomedical Images Processing Using Maxeler DataFlow Engineseast cancer detection procedure based on mammography can be divided into several stages. The first stage is the extraction of region of interest from a breast image, after which the identification of suspicious mass regions, their classification, and comparison with the existing image database follo
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Bitcoin Mining Using Maxeler DataFlow Computers where miners compete in confirming transactions in order to earn a certain amount of digital coins (bitcoins). Bitcoin mining is a repetitive and highly parallelizable process, and thus suitable for parallel computing. In this chapter, we present Maxeler dataflow paradigm as a form of parallel comp
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