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Bestseller
BestsellerE-book
Author Farber, Rob.

Title CUDA application design and development / Rob Farber.

Publication Info. Waltham, MA : Morgan Kaufmann, [2012]
©2012

Item Status

Description 1 online resource.
Physical Medium polychrome
Description text file
Series Applications of GPU computing series
Applications of GPU computing.
Summary As the computer industry retools to leverage massively parallel graphics processing units (GPUs), this book is designed to meet the needs of working software developers who need to understand GPU programming with CUDA and increase efficiency in their projects. CUDA Application Design and Development starts with an introduction to parallel computing concepts for readers with no previous parallel experience, and focuses on issues of immediate importance to working software developers: achieving high performance, maintaining competitiveness, analyzing CUDA benefits versus costs, and determining application lifespan. The book then details the thought behind CUDA and teaches how to create, analyze, and debug CUDA applications. Throughout, the focus is on software engineering issues: how to use CUDA in the context of existing application code, with existing compilers, languages, software tools, and industry-standard API libraries Using an approach refined in a series of well-received articles at Dr Dobb's Journal, author Rob Farber takes the reader step-by-step from fundamentals to implementation, moving from language theory to practical coding Includes multiple examples building from simple to more complex applications in four key areas: machine learning, visualization, vision recognition, and mobile computing Addresses the foundational issues for CUDA development: multi-threaded programming and the different memory hierarchy Includes teaching chapters designed to give a full understanding of CUDA tools, techniques and structure. Presents CUDA techniques in the context of the hardware they are implemented on as well as other styles of programming that will help readers bridge into the new material.
Contents 1. How to think in CUDA 2. Tools to build, debug and profile 3. The GPU performance envelope 4. The CUDA memory subsystems 5. Exploiting the CUDA execution grid 6. MultiGPU applications and scaling 7. Numerical CUDA, libraries and high-level language bindings 8. Mixing CUDA with rendering 9. High Performance Machine Learning 10. Scientific Visualization 11. Multimedia with OpenCV 12. Ultra Low-power Devices: Tegra.
Note Machine generated contents note: 1. How to think in CUDA 2. Tools to build, debug and profile 3. The GPU performance envelope 4. The CUDA memory subsystems 5. Exploiting the CUDA execution grid 6. MultiGPU applications and scaling 7. Numerical CUDA, libraries and high-level language bindings 8. Mixing CUDA with rendering 9. High Performance Machine Learning 10. Scientific Visualization 11. Multimedia with OpenCV 12. Ultra Low-power Devices: Tegra.
Bibliography Includes bibliographical references (pages 303-309) and index.
Local Note eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America
Subject Application software -- Development.
Application software -- Development.
Computer architecture.
Computer architecture.
Parallel programming (Computer science)
Parallel programming (Computer science)
Genre/Form Electronic books.
Electronic books.
Electronic books.
Other Form: Print version: Farber, Rob. CUDA application design and development. Waltham, MA : Morgan Kaufmann, ©2012 9780123884268 (DLC) 2011038617 (OCoLC)731925404
ISBN 9780123884268 (electronic book)
0123884268 (electronic book)
9780123884329 (electronic book)
0123884322 (electronic book)
1283299038
9781283299039
Standard No. 9786613299031