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Articles / High Performance Computing / Parallel Processing

Part 2: OpenCL™ – Memory Spaces

27 Oct 2010CPOL14 min read 133.2K   25  
In his second tutorial, GPGPU expert Rob Farber discusses OpenCL™ memory spaces and the OpenCL memory hierarchy, and how to start thinking in terms of work items and work groups. This tutorial also provides a general example to facilitate experimentation with a variety of OpenCL kernels.

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This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)


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United States United States
Rob Farber is a senior scientist and research consultant at the Irish Center for High-End Computing in Dublin, Ireland and Chief Scientist for BlackDog Endeavors, LLC in the US.

Rob has been on staff at several US national laboratories including Los Alamos National Laboratory, Lawrence Berkeley National Laboratory, and at Pacific Northwest National Laboratory. He also served as an external faculty member at the Santa Fe Institute, co-founded two successful start-ups, and has been a consultant to Fortune 100 companies. His articles have appeared in Dr. Dobb's Journal and Scientific Computing, among others. He recently completed a book teaching massive parallel computing.

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