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Titlebook: Performance Evaluation, Prediction and Visualization of Parallel Systems; Xingfu Wu Book 1999 Springer Science+Business Media New York 199

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書(shū)目名稱Performance Evaluation, Prediction and Visualization of Parallel Systems
編輯Xingfu Wu
視頻videohttp://file.papertrans.cn/744/743762/743762.mp4
叢書(shū)名稱The International Series on Asian Studies in Computer and Information Science
圖書(shū)封面Titlebook: Performance Evaluation, Prediction and Visualization of Parallel Systems;  Xingfu Wu Book 1999 Springer Science+Business Media New York 199
描述.Performance Evaluation, Prediction and Visualization inParallel. .Systems. presents a comprehensive and systematicdiscussion of theoretics, methods, techniques and tools forperformance evaluation, prediction and visualization of parallelsystems. Chapter 1 gives a short overview of performance degradationof parallel systems, and presents a general discussion on theimportance of performance evaluation, prediction and visualization ofparallel systems. Chapter 2 analyzes and defines several kinds ofserial and parallel runtime, points out some of the weaknesses ofparallel speedup metrics, and discusses how to improve and generalizethem. Chapter 3 describes formal definitions of scalability, addressesthe basic metrics affecting the scalability of parallel systems,discusses scalability of parallel systems from three aspects: parallelarchitecture, parallel algorithm and parallel algorithm-architecturecombinations, and analyzes the relations of scalability and speedup.Chapter 4 discusses the methodology of performance measurement,describes the benchmark- oriented performance test and analysis andhow to measure speedup and scalability in practice. Chapter 5 analyzesthe difficulties in perfo
出版日期Book 1999
關(guān)鍵詞Scala; algorithms; interconnection networks; linear optimization; metrics; network; programming; visual pro
版次1
doihttps://doi.org/10.1007/978-1-4615-5147-8
isbn_softcover978-1-4613-7343-8
isbn_ebook978-1-4615-5147-8Series ISSN 1566-0710
issn_series 1566-0710
copyrightSpringer Science+Business Media New York 1999
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