Coverart for item
The Resource CUDA application design and development, Rob Farber, (electronic book)

CUDA application design and development, Rob Farber, (electronic book)

Label
CUDA application design and development
Title
CUDA application design and development
Statement of responsibility
Rob Farber
Creator
Subject
Language
eng
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
Member of
Cataloging source
OPELS
http://library.link/vocab/creatorName
Farber, Rob
Dewey number
005.3
Index
no index present
LC call number
QA76.76.A65
LC item number
F37 2012
Literary form
non fiction
Nature of contents
dictionaries
Series statement
Applications of GPU computing series
http://library.link/vocab/subjectName
  • Application software
  • Computer architecture
  • Parallel programming (Computer science)
Label
CUDA application design and development, Rob Farber, (electronic book)
Instantiates
Publication
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
Color
multicolored
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
Control code
SCIDI760157354
Dimensions
unknown
Extent
1 online resource.
Form of item
online
Isbn
9780123884329
Lccn
2011038617
Specific material designation
remote
Label
CUDA application design and development, Rob Farber, (electronic book)
Publication
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
Color
multicolored
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
Control code
SCIDI760157354
Dimensions
unknown
Extent
1 online resource.
Form of item
online
Isbn
9780123884329
Lccn
2011038617
Specific material designation
remote

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