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Basic Concepts, Case Studies, and a Detailed Example
出版Springer, 2015-04-28
主題Computers / Data Transmission Systems / Electronic Data InterchangeComputers / Data Science / Data AnalyticsMathematics / Probability & Statistics / GeneralComputers / Software Development & Engineering / GeneralComputers / Computer ArchitectureComputers / Hardware / GeneralTechnology & Engineering / Data Transmission Systems / GeneralComputers / Information TechnologyComputers / Artificial Intelligence / Expert SystemsComputers / Software Development & Engineering / Systems Analysis & Design
ISBN33191622929783319162294
URLhttp://books.google.com.hk/books?id=QnG6CAAAQBAJ&hl=&source=gbs_api
EBookSAMPLE
註釋This unique text/reference describes an exciting and novel approach to supercomputing in the DataFlow paradigm. The major advantages and applications of this approach are clearly described, and a detailed explanation of the programming model is provided using simple yet effective examples. The work is developed from a series of lecture courses taught by the authors in more than 40 universities across more than 20 countries, and from research carried out by Maxeler Technologies, Inc. Topics and features: presents a thorough introduction to DataFlow supercomputing for big data problems; reviews the latest research on the DataFlow architecture and its applications; introduces a new method for the rapid handling of real-world challenges involving large datasets; provides a case study on the use of the new approach to accelerate the Cooley-Tukey algorithm on a DataFlow machine; includes a step-by-step guide to the web-based integrated development environment WebIDE.