Kaeli, David R. <br/><br/>
Heterogeneous computing with openCL 2.0 / 
David R. Kaeli, Perhaad Mistry, Dana Schaa, Dong Ping Zhang 
 - Amsterdam :  Morgan Kaufmann,  c2015. 
 - xxi, 307 p. :  ill. ;  24 cm.  
<br/><br/> 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. 
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<br/><br/><label>ISBN: </label>9780128014141 9780128016497 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Parallel programming (Computer science)<br/>OpenCL (Computer program language)
<br/><br/><label>Dewey Class. No.: </label>005.2752 KA HE