Last edited by Basho
Friday, July 24, 2020 | History

5 edition of Implicit Parallel Programming in pH found in the catalog.

Implicit Parallel Programming in pH

by Rishiyur Nikhil

  • 351 Want to read
  • 37 Currently reading

Published by Morgan Kaufmann .
Written in English

    Subjects:
  • Computer Programming,
  • Parallel Processing,
  • Programming - Parallel Programming,
  • Data Processing - Parallel Processing,
  • Computer Programming Languages,
  • pH (Computer program language),
  • Computers,
  • Computers - Languages / Programming,
  • Parallel programming (Computer science),
  • Computer Books: Languages,
  • Parallel programming (Computer,
  • General,
  • Computer Architecture - General,
  • Programming Languages - General,
  • Computers / Computer Architecture

  • The Physical Object
    FormatHardcover
    Number of Pages400
    ID Numbers
    Open LibraryOL8606525M
    ISBN 101558606440
    ISBN 109781558606449

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Implicit Parallel Programming in pH by Rishiyur Nikhil Download PDF EPUB FB2

Suitable for the mathematically adept researcher or computer science student, Implicit Parallel Programming in pH provides a textbook-style guide to the new pH computer language, a /5(3). Suitable for the mathematically adept researcher or computer science student, Implicit Parallel Programming in pH provides a textbook-style guide to the new pH computer language, a Cited by:   Open Library is an open, editable library catalog, building towards a web page for every book ever published.

Implicit Parallel Programming in pH> by Rishiyur Nikhil, Pages: Implicit Parallel Programming in pH> 作者: Rishiyur Nikhil / Arvind 出版社: Morgan Kaufmann 出版年: 页数: 定价: USD 装帧: Hardcover ISBN: Implicit Parallel Programming in pH eBook: Rishiyur Nikhil, Arvind: : Kindle Store.

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Bertsekas Massachusetts Institute of Technology WWW site for book. In this important new text, the authors offer a completely different vision of the future, where parallel programming is the default and sequential programming is a special case.

The /5(2). We will use the Pascal programming language to discuss and implement most of the algorithms; since, however, we use a relatively small subset of the language, our programs are easily translatable to most modern programming languages. Readers of this book.

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