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 |