000			01815nam a22002177 4500
999			_c35314 _d35314
020			_a9780128014141
020			_a9780128016497
082			_a005.2752 KA HE
100			_aKaeli, David R. _924392
245	0	0	_aHeterogeneous computing with openCL 2.0 / _cDavid R. Kaeli, Perhaad Mistry, Dana Schaa, Dong Ping Zhang
260			_aAmsterdam : _bMorgan Kaufmann, _cc2015.
300			_axxi, 307 p. : _bill. ; _c24 cm.
520			_aHeterogeneous 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.
526			_aCSCI376
650		0	_aParallel programming (Computer science) _913907
650		0	_aOpenCL (Computer program language) _924391
856			_uhttps://uowd.box.com/s/qfcofg7pfryskmsobf4hwnq45a0b1qa7 _zLocation Map