Description
| Product ID: | 9780128014141 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | US |
| Title: | Heterogeneous Computing with OpenCL 2.0 |
| Authors: | Author: Dana Schaa, Perhaad Mistry, Dong Ping Zhang, David R. Kaeli |
| Page Count: | 336 |
| Subjects: | Grid and parallel computing, Grid & parallel computing, Computer programming / software engineering, Computer programming / software development |
| Description: | Select Guide Rating 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. |
| Imprint Name: | Morgan Kaufmann Publishers In |
| Publisher Name: | Elsevier Science & Technology |
| Country of Publication: | GB |
| Publishing Date: | 2015-05-18 |
