The Resource Accelerating MATLAB with GPU computing : a primer with examples, Jung W. Suh, Youngmin Kim

Accelerating MATLAB with GPU computing : a primer with examples, Jung W. Suh, Youngmin Kim

Label
Accelerating MATLAB with GPU computing : a primer with examples
Title
Accelerating MATLAB with GPU computing
Title remainder
a primer with examples
Statement of responsibility
Jung W. Suh, Youngmin Kim
Creator
Contributor
Author
Subject
Genre
Language
eng
Summary
"Beyond simulation and algorithm development, many developers increasingly use MATLAB even for product deployment in computationally heavy fields. This often demands that MATLAB codes run faster by leveraging the distributed parallelism of Graphics Processing Units (GPUs). While MATLAB successfully provides high-level functions as a simulation tool for rapid prototyping, the underlying details and knowledge needed for utilizing GPUs make MATLAB users hesitate to step into it. Accelerating MATLAB with GPUs offers a primer on bridging this gap. Starting with the basics, setting up MATLAB for CUDA (in Windows, Linux and Mac OS X) and profiling, it then guides users through advanced topics such as CUDA libraries. The authors share their experience developing algorithms using MATLAB, C++ and GPUs for huge datasets, modifying MATLAB codes to better utilize the computational power of GPUs, and integrating them into commercial software products. Throughout the book, they demonstrate many example codes that can be used as templates of C-MEX and CUDA codes for readers' projects. Download example codes from the publisher's website: http://booksite.elsevier.com/9780124080805/ Shows how to accelerate MATLAB codes through the GPU for parallel processing, with minimal hardware knowledge -- Explains the related background on hardware, architecture and programming for ease of use -- Provides simple worked examples of MATLAB and CUDA C codes as well as templates that can be reused in real-world projects."--Provided by publisher
Cataloging source
CNSPO
http://library.link/vocab/creatorName
Suh, Jung W
Dewey number
519.4
Illustrations
illustrations
Index
index present
LC call number
QA297
LC item number
.S845 2014
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
Kim, Youngmin
http://library.link/vocab/subjectName
  • Graphics processing units
  • Numerical analysis
  • COMPUTERS
  • Graphics processing units
  • Numerical analysis
  • Mathematics
Label
Accelerating MATLAB with GPU computing : a primer with examples, Jung W. Suh, Youngmin Kim
Link
https://ezproxy.lib.ou.edu/login?url=https://www.sciencedirect.com/science/book/9780124080805
Instantiates
Publication
Copyright
Bibliography note
Includes bibliographical references (pages 243-244) and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Accelerating MATLAB without GPU -- Configurations for MATLAB and CUDA -- Optimization planning through profiling -- CUDA coding with c-mex -- MATLAB and parallel computing toolbox -- Using CUDA-accelerated libraries -- Example in computer graphics -- CUDA conversion example : 3D image processing
Dimensions
unknown
Edition
First edition.
Extent
1 online resource (x, 248 pages)
Form of item
online
Isbn
9780124080805
Media category
computer
Media MARC source
rdamedia
Media type code
c
Note
  • ebs 2015
  • Elsevier
Other physical details
illustrations
Specific material designation
remote
Stock number
AC599D9B-A013-45A1-9510-13A97666DE91
System control number
  • (OCoLC)872703168
  • (OCoLC)ocn872703168
Label
Accelerating MATLAB with GPU computing : a primer with examples, Jung W. Suh, Youngmin Kim
Link
https://ezproxy.lib.ou.edu/login?url=https://www.sciencedirect.com/science/book/9780124080805
Publication
Copyright
Bibliography note
Includes bibliographical references (pages 243-244) and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Accelerating MATLAB without GPU -- Configurations for MATLAB and CUDA -- Optimization planning through profiling -- CUDA coding with c-mex -- MATLAB and parallel computing toolbox -- Using CUDA-accelerated libraries -- Example in computer graphics -- CUDA conversion example : 3D image processing
Dimensions
unknown
Edition
First edition.
Extent
1 online resource (x, 248 pages)
Form of item
online
Isbn
9780124080805
Media category
computer
Media MARC source
rdamedia
Media type code
c
Note
  • ebs 2015
  • Elsevier
Other physical details
illustrations
Specific material designation
remote
Stock number
AC599D9B-A013-45A1-9510-13A97666DE91
System control number
  • (OCoLC)872703168
  • (OCoLC)ocn872703168

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