Professional cuda c programming / (Record no. 44202)

MARC details
000 -LEADER
fixed length control field 03000cam a22001935i 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781118739327 (pbk. : alk. paper)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 1118739329 (pbk. : alk. paper)
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.275
Item number CHE
100 1# - MAIN ENTRY--AUTHOR NAME
Personal name Cheng, John.
245 10 - TITLE STATEMENT
Title Professional cuda c programming /
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Indianapolis, Indiana :
Name of publisher Wrox, a Wiley brand,
Year of publication 2014.
300 ## - PHYSICAL DESCRIPTION
Number of Pages xxvi, 497 pages :
Other physical details illustrations ;
490 ## - SERIES STATEMENT
Series statement Wrox professional guides.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note Heterogeneous parallel computing with CUDA --<br/>CUDA programming model --<br/>CUDA execution model --<br/>Global memory --<br/>Shared memory and constant memory --<br/>Streams and concurrency --<br/>Tuning instruction-level primitives --<br/>GPU-accelerated CUDA libraries and OpenACC --<br/>Multi-GPU programming --<br/>Implementation considerations.
520 ## - SUMMARY, ETC.
Summary, etc Break into the powerful world of parallel GPU programming with this down-to-earth, practical guide <p>Designed for professionals across multiple industrial sectors, Professional CUDA C Programming presents CUDA -- a parallel computing platform and programming model designed to ease the development of GPU programming -- fundamentals in an easy-to-follow format, and teaches readers how to think in parallel and implement parallel algorithms on GPUs. Each chapter covers a specific topic, and includes workable examples that demonstrate the development process, allowing readers to explore both the "hard" and "soft" aspects of GPU programming. <p>Computing architectures are experiencing a fundamental shift toward scalable parallel computing motivated by application requirements in industry and science. This book demonstrates the challenges of efficiently utilizing compute resources at peak performance, presents modern techniques for tackling these challenges, while increasing accessibility for professionals who are not necessarily parallel programming experts. The CUDA programming model and tools empower developers to write high-performance applications on a scalable, parallel computing platform: the GPU. However, CUDA itself can be difficult to learn without extensive programming experience. Recognized CUDA authorities John Cheng, Max Grossman, and Ty McKercher guide readers through essential GPU programming skills and best practices in Professional CUDA C Programming, including: * CUDA Programming Model * GPU Execution Model * GPU Memory model * Streams, Event and Concurrency * Multi-GPU Programming * CUDA Domain-Specific Libraries * Profiling and Performance Tuning <p>The book makes complex CUDA concepts easy to understand for anyone with knowledge of basic software development with exercises designed to be both readable and high-performance. For the professional seeking entrance to parallel computing and the high-performance computing community, Professional CUDA C Programming is an invaluable resource, with the most current information available on the market
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Parallel programming (Computer science)
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term CUDA (Computer architecture)
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Reference Books
Holdings
Collection code Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Full call number Accession Number Koha item type
Reference Main Library Main Library Reference 29/08/2017 Purchased 6190.00 005.275 CHE 015471 Reference Books

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