Programming massively parallel processors hands-on with CUDA / (Record no. 6833)

MARC details
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 110928s2010 maua b 001 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2009048259
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780123814722
035 ## - SYSTEM CONTROL NUMBER
System control number (Sirsi) u7908
040 ## - CATALOGING SOURCE
Original cataloging agency EG-CaNU
Transcribing agency EG-CaNU
Modifying agency EG-CaNU
042 ## - AUTHENTICATION CODE
Authentication code ncode
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 004.35
Edition number 22
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Kirk, David,
Dates associated with a name 1960-
9 (RLIN) 14276
245 10 - TITLE STATEMENT
Title Programming massively parallel processors hands-on with CUDA /
Statement of responsibility, etc. by David Kirk and Wen-mei Hwu.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Burlington, MA :
Name of publisher, distributor, etc. Morgan Kaufmann Publishers,
Date of publication, distribution, etc. c2010.
300 ## - PHYSICAL DESCRIPTION
Extent xviii, 258 p. :
Other physical details ill. ;
Dimensions 24 cm.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 1. Introduction -- 2. History of GPU Computing -- 3. Introduction to CUDA -- 4. CUDA Threads -- 5. CUDA Memories -- 6. Performance Considerations -- 7. Floating-Point Format -- 8. Application Case Study I - Advanced MRI Reconstruction -- 9. Application Case Study II - Molecular Visualization and Analysis -- 10. Parallel Programming and Computational Thinking -- 11. A Brief Introduction to OpenCL -- 12. Conclusion and Future Outlook.
520 ## - SUMMARY, ETC.
Summary, etc. Multi-core processors are no longer the future of computing-they are the present day reality. A typical mass-produced CPU features multiple processor cores, while a GPU (Graphics Processing Unit) may have hundreds or even thousands of cores. With the rise of multi-core architectures has come the need to teach advanced programmers a new and essential skill: how to program massively parallel processors. 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.
596 ## -
-- 1
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Parallel programming (Computer science)
9 (RLIN) 2166
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Parallel processing (Electronic computers)
9 (RLIN) 2166
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Multiprocessors.
9 (RLIN) 8805
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer architecture.
9 (RLIN) 14277
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Hwu, Wen-mei.
9 (RLIN) 14278
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Total Checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Dewey Decimal Classification     Main library Main library General Stacks 01/26/2020 PURCHASE   004.35 / KI.P 2010 011511 11/24/2019 1 11/24/2019 Books