Programming massively parallel processors : a hands-on approach / Wen-mei W. Hwu, David B. Kirk, Izzat El Hajj.
Publisher: Cambridge, MA : Elsevier : Morgan Kauffmann, 2023Edition: Fourth editionDescription: xxviii, 551 pages : illustrations ; 24 cmContent type:- text
- unmediated
- volume
- 9780323912310
| 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 |
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| QA76.64.W367 2001 3 Standard C++ with object-oriented programming / | QA76.64.W799 2001 3 An introduction to object-oriented programming with Java / | QA76.642 .B375 2023 3 Multicore and GPU programming : an integrated approach / | QA76.642 .K557 2023 3 Programming massively parallel processors : a hands-on approach / | QA76.642.K557 2013 3 Programming massively parallel processors : a hands-on approach / | QA76.642.P335 3 An introduction to parallel programming / | QA76.65.C37 1997 3 Programming with VisualAge for C++ for Windows / |
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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