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Programming massively parallel processors : a hands-on approach / Wen-mei W. Hwu, David B. Kirk, Izzat El Hajj.

By: Contributor(s): Publisher: Cambridge, MA : Elsevier : Morgan Kauffmann, 2023Edition: Fourth editionDescription: xxviii, 551 pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780323912310
Subject(s): Summary: Programming Massively Parallel Processors: A Hands-on Approach shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Various techniques for constructing parallel programs are explored in detail. Case studies demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in depth. For this new edition, the authors are updating their coverage of CUDA, including the concept of unified memory, and expanding content in areas such as threads, while still retaining its concise, intuitive, practical approach based on years of road-testing in the authors' own parallel computing courses.-- Source other than the Library of Congess.
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Item type Current library Home library Collection Call number Materials specified Copy number Status Date due Barcode
AM PERPUSTAKAAN LINGKUNGAN KEDUA PERPUSTAKAAN LINGKUNGAN KEDUA KOLEKSI AM-P. LINGKUNGAN KEDUA - QA76.642 .K557 2023 3 (Browse shelf(Opens below)) 1 Available 00002262612

Revised edition of: Programming massively parallel processors / David B. Kirk, Wen-mei W. Hwu. Third edition. [2017].

Includes bibliographical references and index.

Programming Massively Parallel Processors: A Hands-on Approach shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Various techniques for constructing parallel programs are explored in detail. Case studies demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in depth. For this new edition, the authors are updating their coverage of CUDA, including the concept of unified memory, and expanding content in areas such as threads, while still retaining its concise, intuitive, practical approach based on years of road-testing in the authors' own parallel computing courses.-- Source other than the Library of Congess.

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