Programming massively parallel processors : a hands-on approach /

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Bibliographic Details
Author / Creator:	Kirk, David, 1960- author.
Edition:	Second edition.
Imprint:	Amsterdam ; Boston : Elsevier/Morgan Kaufmann, [2013] ©2013
Description:	1 online resource ( xx, 496 pages) : illustrations (some color)
Language:	English
Subject:	Multiprocessors. Parallel processing (Electronic computers) Computer architecture. Parallel programming (Computer science) Computer architecture. Multiprocessors. Parallel processing (Electronic computers) Parallel programming (Computer science)
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/12041744

Hidden Bibliographic Details
Other authors / contributors:	Hwu, Wen-mei, author.
ISBN:	9780123914187 0123914183 9780124159921 0124159923 9781283902991 1283902990
Notes:	Includes bibliographical references and index. Print version record.
Other form:	Print version: Kirk, David, 1960- Programming massively parallel processors. 2nd ed. San Francisco, Calif. : Morgan Kaufmann ; Oxford : Elsevier Science [distributor], 2013 9780124159921

Table of Contents:

History of GPU computing
Introduction to data parallelism and CUDA C
Data-parallel execution model
CUDA memories
Performance considerations
Floating-point considerations
Parallel patterns : convolution, with an introduction to constant memory and caches
Parallel patterns : prefix sum, an introduction to work efficiency in parallel algorithms
Parallel patterns : sparse matrix-vector multiplication, an introduction to compaction and regularization in parallel algorithms
Application case study : advanced MRI reconstruction
Application case study : molecular visualization and analysis
Parallel programming and computational thinking
An introduction to OpenCL (TM)
Parallel programming with OpenACC
Thrust : a productivity-oriented library for CUDA
CUDA FORTRAN
An introduction to C++ AMP
Programming a heterogeneous computing cluster
CUDA dynamic parallelism.

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