Heterogeneous Computing with Opencl 2.0

von Dana Schaa, Perhaad Mistry, Dong Ping Zhang, David R Kaeli

336 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

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.

• Themen: Informatik und Informationstechnologie Computerprogrammierung und Softwareentwicklung Programmier- und Skriptsprachen, allgemein
• ISBN: 9780128014141
• Sprache: Englisch
• Erscheinungsdatum: 18.05.2015
• Größe: 231 x 186 mm
• Verlag: Elsevier Science