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Heterogeneous Computing with OpenCL teaches OpenCL and parallel programming for complex systems that may include a variety of device architectures: multi-core CPUs, GPUs, and fully… Read more
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Immediately download your ebook while waiting for your print delivery. No promo code needed.
Heterogeneous Computing with OpenCL teaches OpenCL and parallel programming for complex systems that may include a variety of device architectures: multi-core CPUs, GPUs, and fully-integrated Accelerated Processing Units (APUs) such as AMD Fusion technology. Designed to work on multiple platforms and with wide industry support, OpenCL will help you more effectively program for a heterogeneous future.
Written by leaders in the parallel computing and OpenCL communities, this book will give you hands-on OpenCL experience to address a range of fundamental parallel algorithms. The authors explore memory spaces, optimization techniques, graphics interoperability, extensions, and debugging and profiling. Intended to support a parallel programming course, Heterogeneous Computing with OpenCL includes detailed examples throughout, plus additional online exercises and other supporting materials.
Software engineers, programmers, hardware engineers, students / advanced students
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
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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.
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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.
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