The CUDA handbook : a comprehensive guide to GPU programming

Format:

Book

Author/Creator:

Wilt, Nicholas, Author.

Language:

English

Subjects (All):

CUDA (Computer architecture)--Programming.

CUDA (Computer architecture).

Graphics processing units.

Parallel programming (Computer science).

Computer graphics.

Physical Description:

1 online resource (1 v.) : ill.

Edition:

1st edition

Place of Publication:

[Place of publication not identified] Addison Wesley 2013

Language Note:

English

System Details:

text file

Summary:

The CUDA Handbook begins where CUDA by Example (Addison-Wesley, 2011) leaves off, discussing CUDA hardware and software in greater detail and covering both CUDA 5.0 and Kepler. Every CUDA developer, from the casual to the most sophisticated, will find something here of interest and immediate usefulness. Newer CUDA developers will see how the hardware processes commands and how the driver checks progress; more experienced CUDA developers will appreciate the expert coverage of topics such as the driver API and context migration, as well as the guidance on how best to structure CPU/GPU data interchange and synchronization. The accompanying open source code–more than 25,000 lines of it, freely available at www.cudahandbook.com–is specifically intended to be reused and repurposed by developers. Designed to be both a comprehensive reference and a practical cookbook, the text is divided into the following three parts: Part I, Overview, gives high-level descriptions of the hardware and software that make CUDA possible. Part II, Details, provides thorough descriptions of every aspect of CUDA, including Memory Streams and events Models of execution, including the dynamic parallelism feature, new with CUDA 5.0 and SM 3.5 The streaming multiprocessors, including descriptions of all features through SM 3.5 Programming multiple GPUs Texturing The source code accompanying Part II is presented as reusable microbenchmarks and microdemos, designed to expose specific hardware characteristics or highlight specific use cases. Part III, Select Applications, details specific families of CUDA applications and key parallel algorithms, including Streaming workloads Reduction Parallel prefix sum (Scan) N-body Image Processing These algorithms cover the full range of potential CUDA applications.

Contents:

Background

Hardware architecture

Software architecture

Software environment

Memory

Streams and events

Kernel execution

Streaming multiprocessors

Multiple GPUs

Texturing

Streaming workloads

Reduction

Scan

N-body

Image processing : normalized correlation.

Notes:

Bibliographic Level Mode of Issuance: Monograph

Includes bibliographical references and index.

ISBN:

9780133261509

0133261506

9780133261493

0133261492

9780321809469

0321809467

OCLC:

855014090