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Programming massively parallel processors : a hands-on approach

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cambridge; Katey Birtcher Margan Kaufmann is an imprint of Elsevier 2023Edition: 4thDescription: xxviii, 551pISBN:
  • 9780323912310
Subject(s): DDC classification:
  • 005.275 HWU-P
Summary: Programming Massively Parallel Processors: A Hands-on Approach shows both students and professionals alike the basic concepts of parallel programming and GPU architecture. Concise, intuitive, and practical, it is based on years of road-testing in the authors' own parallel computing courses. Various techniques for constructing and optimizing parallel programs are explored in detail, while case studies demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. The new edition includes updated coverage of CUDA, including the newer libraries such as CuDNN. New chapters on frequently used parallel patterns have been added, and case studies have been updated to reflect current industry practices.
Item type: Books and Monographs List(s) this item appears in: List of New Arrivals (Books)
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Item type Current library Home library Collection Call number Materials specified Status Date due Barcode
Books and Monographs Central Library, NIT Jalandhar General Stacks Central Library, NIT Jalandhar Center for Artificial Intelligence 005.275 HWU-P (Browse shelf(Opens below)) Available 102884
Books and Monographs Central Library, NIT Jalandhar General Stacks Central Library, NIT Jalandhar Center for Artificial Intelligence 005.275 HWU-P (Browse shelf(Opens below)) Available 102885

Programming Massively Parallel Processors: A Hands-on Approach shows both students and professionals alike the basic concepts of parallel programming and GPU architecture. Concise, intuitive, and practical, it is based on years of road-testing in the authors' own parallel computing courses. Various techniques for constructing and optimizing parallel programs are explored in detail, while case studies demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. The new edition includes updated coverage of CUDA, including the newer libraries such as CuDNN. New chapters on frequently used parallel patterns have been added, and case studies have been updated to reflect current industry practices.

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