Accelerating a climate physics model with OpenCL
Links to Fileshttps://ieeexplore.ieee.org/document/6031560
MetadataShow full item record
Type of Work10 pages
conference papers and proceedings preprints
Citation of Original PublicationFahad Zafar, Dibyajyoti Ghosh, Lawrence Sebald, and Shujia Zhou, Accelerating a climate physics model with OpenCL, Symposium on Application Accelerators in High-Performance Computing (SAAHPC'11), 2011 , DOI: 10.1109/SAAHPC.2011.17
RightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
ibm cell b.e
UMBC Ebiquity Research Group
Open Computing Language (OpenCL) is fast becoming the standard for heterogeneous parallel com- puting. It is designed to run on CPUs, GPUs, and other accelerator architectures. By implementing a real- world application, a solar radiation model component widely used in climate and weather models, we show that OpenCL multi-threaded programming and execution model can dramatically increase performance even on CPU architectures. Our preliminary investigation indicates that low-level vector instructions and code representations in OpenCL contribute to dramatic performance improvement over the serial version when compared with the execution of the serial code compiled across various compilers on multiple platforms with auto vectorization flags. However, the portability of OpenCL implementations needs to improve, even for CPU architectures.