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Multicore Programming Using the ParC Language

  • Textbook
  • © 2012

Overview

Authors:
  1. Yosi Ben-Asher

    1. Department of Computer Science, University of Haifa, Mount Carmel, Haifa, Israel

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  • Provides a unique approach to writing parallel programs for shared memory machines
  • Authored by the co-developer of ParC
  • Numerous challenging and exciting exercises accompany each chapter
  • Defines execution times for parallel programs
  • Includes supplementary material: sn.pub/extras

Part of the book series: Undergraduate Topics in Computer Science (UTICS)

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Table of contents (8 chapters)

  1. Front Matter

    Pages I-XIV
    Download chapter PDF

  2. Basic Concepts in Parallel Algorithms and Parallel Programming

    • Yosi Ben-Asher
    Pages 1-43

  3. Principles of Shared Memory Parallel Programming Using ParC

    • Yosi Ben-Asher
    Pages 45-91

  4. Locality and Synchronization

    • Yosi Ben-Asher
    Pages 93-127

  5. Multicore Machines

    • Yosi Ben-Asher
    Pages 129-157

  6. Improving the Performance of Parallel Programs: The Analytical Approach

    • Yosi Ben-Asher
    Pages 159-196

  7. Compilation Techniques

    • Yosi Ben-Asher
    Pages 197-217

  8. Working with Sequential Versions

    • Yosi Ben-Asher
    Pages 219-258

  9. Performance and Overhead Measurements

    • Yosi Ben-Asher
    Pages 259-277
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Keywords

About this book

Multicore Programming Using the ParC Language discusses the principles of practical parallel programming using shared memory on multicore machines. It uses a simple yet powerful parallel dialect of C called ParC as the basic programming language. Designed to be used in an introductory course in parallel programming and covering basic and advanced concepts of parallel programming via ParC examples, the book combines a mixture of research directions, covering issues in parallel operating systems, and compilation techniques relevant for shared memory and multicore machines.

Multicore Programming Using the ParC Language provides a firm basis for the ‘delicate art’ of creating efficient parallel programs. Students can exercise parallel programming using a simulation software, which is portable on PC/Unix multicore computers, to gain experience without requiring specialist hardware. Students can also help to cement their learning by completing the great many challenging and exciting exercises which accompany each chapter.

Authors and Affiliations

  • Department of Computer Science, University of Haifa, Mount Carmel, Haifa, Israel

    Yosi Ben-Asher

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