Programming Models for Parallel Computing (Paperback)
暫譯: 平行計算的程式設計模型 (平裝本)

Pavan Balaji

Programming Models for Parallel Computing (Paperback)
  • 出版商: MIT
  • 出版日期: 2015-11-06
  • 售價: $2,600
  • 貴賓價: 9.5 折 $2,470
  • 語言: 英文
  • 頁數: 488
  • 裝訂: Paperback
  • ISBN: 0262528819
  • ISBN-13: 9780262528818
  • 相關分類: 系統開發

    • 立即出貨 (庫存=1)

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商品描述

With the coming of the parallel computing era, computer scientists have turned their attention to designing programming models that are suited for high-performance parallel computing and supercomputing systems. Programming parallel systems is complicated by the fact that multiple processing units are simultaneously computing and moving data. This book offers an overview of some of the most prominent parallel programming models used in high-performance computing and supercomputing systems today.

The chapters describe the programming models in a unique tutorial style rather than using the formal approach taken in the research literature. The aim is to cover a wide range of parallel programming models, enabling the reader to understand what each has to offer. The book begins with a description of the Message Passing Interface (MPI), the most common parallel programming model for distributed memory computing. It goes on to cover one-sided communication models, ranging from low-level runtime libraries (GASNet, OpenSHMEM) to high-level programming models (UPC, GA, Chapel); task-oriented programming models (Charm++, ADLB, Scioto, Swift, CnC) that allow users to describe their computation and data units as tasks so that the runtime system can manage computation and data movement as necessary; and parallel programming models intended for on-node parallelism in the context of multicore architecture or attached accelerators (OpenMP, Cilk Plus, TBB, CUDA, OpenCL). The book will be a valuable resource for graduate students, researchers, and any scientist who works with data sets and large computations.

ContributorsTimothy Armstrong, Michael G. Burke, Ralph Butler, Bradford L. Chamberlain, Sunita Chandrasekaran, Barbara Chapman, Jeff Daily, James Dinan, Deepak Eachempati, Ian T. Foster, William D. Gropp, Paul Hargrove, Wen-mei Hwu, Nikhil Jain, Laxmikant Kale, David Kirk, Kath Knobe, Ariram Krishnamoorthy, Jeffery A. Kuehn, Alexey Kukanov, Charles E. Leiserson, Jonathan Lifflander, Ewing Lusk, Tim Mattson, Bruce Palmer, Steven C. Pieper, Stephen W. Poole, Arch D. Robison, Frank Schlimbach, Rajeev Thakur, Abhinav Vishnu, Justin M. Wozniak, Michael Wilde, Kathy Yelick, Yili Zheng

商品描述(中文翻譯)

隨著平行計算時代的來臨，計算機科學家將注意力轉向設計適合高效能平行計算和超級計算系統的程式設計模型。平行系統的程式設計因為多個處理單元同時計算和移動數據而變得複雜。本書提供了當今高效能計算和超級計算系統中一些最重要的平行程式設計模型的概述。

各章節以獨特的教學風格描述程式設計模型，而不是採用研究文獻中的正式方法。目的是涵蓋廣泛的平行程式設計模型，使讀者能夠理解每個模型所提供的內容。本書首先介紹了消息傳遞介面（Message Passing Interface, MPI），這是分散式記憶體計算中最常見的平行程式設計模型。接著涵蓋了一側通信模型，從低階運行時庫（GASNet、OpenSHMEM）到高階程式設計模型（UPC、GA、Chapel）；任務導向的程式設計模型（Charm++、ADLB、Scioto、Swift、CnC），允許用戶將計算和數據單元描述為任務，以便運行時系統可以根據需要管理計算和數據移動；以及針對多核心架構或附加加速器的節點內平行性設計的平行程式設計模型（OpenMP、Cilk Plus、TBB、CUDA、OpenCL）。本書將成為研究生、研究人員以及任何處理數據集和大型計算的科學家的寶貴資源。

貢獻者：Timothy Armstrong、Michael G. Burke、Ralph Butler、Bradford L. Chamberlain、Sunita Chandrasekaran、Barbara Chapman、Jeff Daily、James Dinan、Deepak Eachempati、Ian T. Foster、William D. Gropp、Paul Hargrove、Wen-mei Hwu、Nikhil Jain、Laxmikant Kale、David Kirk、Kath Knobe、Ariram Krishnamoorthy、Jeffery A. Kuehn、Alexey Kukanov、Charles E. Leiserson、Jonathan Lifflander、Ewing Lusk、Tim Mattson、Bruce Palmer、Steven C. Pieper、Stephen W. Poole、Arch D. Robison、Frank Schlimbach、Rajeev Thakur、Abhinav Vishnu、Justin M. Wozniak、Michael Wilde、Kathy Yelick、Yili Zheng

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