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Heterogeneous Computing with OpenCL 2.0 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). This fully-revised edition includes the latest enhancements in OpenCL 2.0 including:
Shared virtual memory to increase programming flexibility and reduce data transfers that consume resources
Dynamic parallelism which reduces processor load and avoids bottlenecks
Improved imaging support and integration with OpenGL
Designed to work on multiple platforms, OpenCL will help you more effectively program for a heterogeneous future. Written by leaders in the parallel computing and OpenCL communities, this book explores memory spaces, optimization techniques, extensions, debugging and profiling. Multiple case studies and examples illustrate high-performance algorithms, distributing work across heterogeneous systems, embedded domain-specific languages, and will give you hands-on OpenCL experience to address a range of fundamental parallel algorithms.
Heterogeneous Computing with OpenCL 2.0 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). This fully-revised edition includes the latest enhancements in OpenCL 2.0 including:
Shared virtual memory to increase programming flexibility and reduce data transfers that consume resources
Dynamic parallelism which reduces processor load and avoids bottlenecks
Improved imaging support and integration with OpenGL
Designed to work on multiple platforms, OpenCL will help you more effectively program for a heterogeneous future. Written by leaders in the parallel computing and OpenCL communities, this book explores memory spaces, optimization techniques, extensions, debugging and profiling. Multiple case studies and examples illustrate high-performance algorithms, distributing work across heterogeneous systems, embedded domain-specific languages, and will give you hands-on OpenCL experience to address a range of fundamental parallel algorithms.
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.
ForewordCh 1: Introduction Ch 2: Device Architectures Ch 3: Introduction to OpenCL Ch 4: Examples Ch 5: Execution Model Ch 6: host-side memory model Ch 7: device-side memory model Ch 8: ImplementationCh 9: Case study: Image Clustering and Search Ch 10: Profiling and Debugging Ch 11: C++ AMP Ch 12: WebCL Ch 13: Foreign Lands: Plugging OpenCL In
| Erscheinungsjahr: | 2015 |
|---|---|
| Genre: | Importe, Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| ISBN-13: | 9780128014141 |
| ISBN-10: | 0128014148 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Kaeli, David R
Mistry, Perhaad Schaa, Dana Zhang, Dong Ping |
| Hersteller: | Elsevier Science |
| Verantwortliche Person für die EU: | Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de |
| Maße: | 231 x 186 x 17 mm |
| Von/Mit: | David R Kaeli (u. a.) |
| Erscheinungsdatum: | 18.05.2015 |
| Gewicht: | 0,668 kg |
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