CUDA programming: a developer's guide to parallel computing with GPUs

If you need to learn CUDA but don't have experience with parallel computing, CUDA Programming: A Developer's Introduction offers a detailed guide to CUDA with a grounding in parallel fundamentals. It starts by introducing CUDA and bringing you up to speed on GPU parallelism and hardware, t...

Full description

Saved in:
Bibliographic Details
Main Author: Cook, Shane (Author)
Format: Electronic eBook
Language:English
Published: Amsterdam Boston Morgan Kaufmann 2013
Subjects:
Online Access:FLA01
Volltext
Summary:If you need to learn CUDA but don't have experience with parallel computing, CUDA Programming: A Developer's Introduction offers a detailed guide to CUDA with a grounding in parallel fundamentals. It starts by introducing CUDA and bringing you up to speed on GPU parallelism and hardware, then delving into CUDA installation. Chapters on core concepts including threads, blocks, grids, and memory focus on both parallel and CUDA-specific issues. Later, the book demonstrates CUDA in practice for optimizing applications, adjusting to new hardware, and solving common problems. Comprehensive introduction to parallel programming with CUDA, for readers new to both. Detailed instructions help readers optimize the CUDA software development kitPractical techniques illustrate working with memory, threads, algorithms, resources, and more. Covers CUDA on multiple hardware platforms: Mac, Linux and Windows with several NVIDIA chipsets. Each chapter includes exercises to test reader knowledge
Item Description:Includes index. - Title from publisher's Web site; (ScienceDirect; viewed on Oct. 31, 2012)
Physical Description:1 online resource

There is no print copy available.

Interlibrary loan Place Request Caution: Not in THWS collection! Get full text