Opencl Heterogeneous Computing by David Kaeli (23 results)

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Taschenbuch. Condition: Neu. Heterogeneous Computing with Opencl 2.0 | David R Kaeli (u. a.) | Taschenbuch | Englisch | 2015 | Elsevier Science | EAN 9780128014141 | Verantwortliche Person für die EU: Elsevier B.V., Radarweg 29, 1043 NX AMSTERDAM, NIEDERLANDE, nlinfo[at]elsevier[dot]com | Anbieter: preigu. …

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Kartoniert / Broschiert. Condition: New. Explains principles and strategies to learn parallel programming with OpenCL, from understanding the four abstraction models to thoroughly testing and debugging complete applications. Covers image processing, web plugins, particle simulati.

paperback. Condition: New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback. Pub Date :2013-09-01 Pages: 291 Language: Chinese Publisher: Tsinghua University Press OpenCL heterogeneous computing ( 2nd Edition ) provides Open CL firsthand how elaborated in a heterogeneous environment under parallel programming . Chapter 1 introduces how the parallel system programming. define heterogeneous programming needs to understand the concept . Chapter 2-4 Open CL gradual introduction of the basic structure and basic examples. Chapter 5 describes the Open CL concurren.Four Satisfaction guaranteed,or money back.…

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware - 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. 336 pp. Englisch.…