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Titlebook: Opportunities and Constraints of Parallel Computing; Jorge L. C. Sanz Conference proceedings 1989 Springer-Verlag New York Inc. 1989 Scala

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書目名稱Opportunities and Constraints of Parallel Computing
編輯Jorge L. C. Sanz
視頻videohttp://file.papertrans.cn/703/702467/702467.mp4
圖書封面Titlebook: Opportunities and Constraints of Parallel Computing;  Jorge L. C. Sanz Conference proceedings 1989 Springer-Verlag New York Inc. 1989 Scala
描述At the initiative of the IBM Almaden Research Center and the National Science Foundation, a workshop on "Opportunities and Constraints of Parallel Computing" was held in San Jose, California, on December 5-6, 1988. The Steering Committee of the workshop consisted of Prof. R. Karp (University of California at Berkeley), Prof. L. Snyder (University of Washington at Seattle), and Dr. J. L. C. Sanz (IBM Almaden Research Center). This workshop was intended to provide a vehicle for interaction for people in the technical community actively engaged in research on parallel computing. One major focus of the workshop was massive parallelism, covering theory and models of computing, algorithm design and analysis, routing architectures and interconnection networks, languages, and application requirements. More conventional issues involving the design and use of parallel computers with a few dozen processors were not addressed at the meeting. A driving force behind the realization of this workshop was the need for interaction between theoreticians and practitioners of parallel computation. Therefore, a group of selected participants from the theory community was invited to attend, together with
出版日期Conference proceedings 1989
關(guān)鍵詞Scala; computer network; design; language; neural network; neural networks; optimization; parallel computat
版次1
doihttps://doi.org/10.1007/978-1-4613-9668-0
isbn_ebook978-1-4613-9668-0
copyrightSpringer-Verlag New York Inc. 1989
The information of publication is updating

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A Perspective on Shared-memory and Message-memory Architectures,e variety of parallel processor architectures have been proposed over the last five to ten years, to date there is very little quantitative analysis comparing the various alternatives. The proposed architectures essentially fall into two broad categories: message-passing architectures and shared-mem
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Architectures for Data Parallel Algorithms,parallelism. As defined by Hillis, data parallel algorithms have a single thread of control that acts on many data items in parallel, while control parallel algorithms have many threads of control. Although the distinction is not always sharp, it does capture an important aspect of parallel computin
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Theoretical Problems in the Design of Tools to Aid in the Construction of Parallel Programs,itecture and algorithm analysis. However, recently we have seen a fundamental shift in the role of parallelism studies in both academic computer science and in the computer industry. In particular, parallel computation issues are now a significant part of research in most branches of computer scienc
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Towards Better Shared Memory Programming Models,arallel programs on existing programming models. Indeed, a variety of programming models have been proposed with not entirely satisfactory results. In this note, we focus on the world of massively parallel shared memory machines and examine programming models for these machines. A . is one in which
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