
Heterogeneous Computing with OpenCL
Resources
Description
Key Features
- Explains principles and strategies to learn parallel programming with OpenCL, from understanding the four abstraction models to thoroughly testing and debugging complete applications.
- Covers image processing, web plugins, particle simulations, video editing, performance optimization, and more.
- Shows how OpenCL maps to an example target architecture and explains some of the tradeoffs associated with mapping to various architectures
- Addresses a range of fundamental programming techniques, with multiple examples and case studies that demonstrate OpenCL extensions for a variety of hardware platforms
Readership
Software engineers, programmers, hardware engineers, students / advanced students
Table of Contents
Foreword
Preface
Acknowledgments
About the Authors
Chapter 1. Introduction to Parallel Programming
Chapter 2. Introduction to OpenCL
Chapter 3. OpenCL Device Architectures
Chapter 4. Basic OpenCL Examples
Chapter 5. Understanding OpenCL's Concurrency and Execution Model
Chapter 6. Dissecting a CPU/GPU OpenCL Implementation
Chapter 7. OpenCL Case Study
Chapter 8. OpenCL Case Study
Chapter 9. OpenCL Case Study
Chapter 10. OpenCL Case Study
Chapter 11. OpenCL Extensions
Chapter 12. OpenCL Profiling and Debugging
Chapter 13. WebCL
Index
Product details
- No. of pages: 296
- Language: English
- Copyright: © Morgan Kaufmann 2011
- Published: August 17, 2011
- Imprint: Morgan Kaufmann
- eBook ISBN: 9780123877673
About the Authors
Benedict Gaster
Affiliations and Expertise
Lee Howes
Affiliations and Expertise
David Kaeli
Dr. Kaeli has co-authored more than 200 critically reviewed publications. His research spans a range of areas including microarchitecture to back-end compilers and software engineering. He leads a number of research projects in the area of GPU Computing. He presently serves as the Chair of the IEEE Technical Committee on Computer Architecture. Dr. Kaeli is an IEEE Fellow and a member of the ACM.
Affiliations and Expertise
Perhaad Mistry
Perhaad graduated after 7 years with a PhD from Northeastern University in Electrical and Computer Engineering and was advised by Dr. David Kaeli who the leads Northeastern University Computer Architecture Research Laboratory (NUCAR). Even after graduating, Perhaad is still a member of NUCAR and is advising on research projects on performance analysis of parallel architectures. He received a BS in Electronics Engineering from University of Mumbai and an MS in Computer Engineering from Northeastern University in Boston. He is presently based in Boston.
Affiliations and Expertise
Dana Schaa
Affiliations and Expertise
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