Programming Massively Parallel Processors

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Características del artículo

Estado
Nuevo: Libro nuevo, sin usar y sin leer, que está en perfecto estado; incluye todas las páginas sin ...
Binding
Paperback
Edition
4
Subcategory
-
ISBN
9780323912310
Categoría

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Product Identifiers

Publisher
Elsevier Science & Technology
ISBN-10
0323912311
ISBN-13
9780323912310
eBay Product ID (ePID)
15057240981

Product Key Features

Number of Pages
580 Pages
Publication Name
Programming Massively Parallel Processors : a Hands-On Approach
Language
English
Publication Year
2022
Subject
Programming / General, Systems Architecture / General, Systems Architecture / Distributed Systems & Computing, Programming / Parallel
Type
Textbook
Subject Area
Computers
Author
Izzat El Hajj, David B. Kirk, Wen-Mei W. Hwu
Format
Trade Paperback

Dimensions

Item Length
9.2 in
Item Width
7.5 in

Additional Product Features

Edition Number
4
Intended Audience
College Audience
LCCN
2023-385134
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
004.35
Table Of Content
1 Introduction Part I Fundamental Concepts 2 Heterogeneous data parallel computing 3 Multidimensional grids and data 4 Compute architecture and scheduling 5 Memory architecture and data locality 6 Performance considerations Part II Parallel Patterns 7 Convolution: An introduction to constant memory and caching 8 Stencil 9 Parallel histogram 10 Reduction And minimizing divergence 11 Prefix sum (scan) 12 Merge: An introduction to dynamic input data identification Part III Advanced patterns and applications 13 Sorting 14 Sparse matrix computation 15 Graph traversal 16 Deep learning 17 Iterative magnetic resonance imaging reconstruction 18 Electrostatic potential map 19 Parallel programming and computational thinking Part IV Advanced Practices 20 Programming a heterogeneous computing cluster: An introduction to CUDA streams 21 CUDA dynamic parallelism 22 Advanced practices and future evolution 23 Conclusion and outlook Appendix A: Numerical considerations
Synopsis
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.
LC Classification Number
QA76.642.K57 2022

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