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Multi-core programming with OpenCL: performance and portability: OpenCL in a memory bound scenario

Olav Aanes Fagerlund
Norwegian University of Science and Technology, Faculty of Information Technology, Mathematics and Electrical Engineering, Department of Computer and Information Science
Institutt for datateknikk og informasjonsvitenskap, 2010

@article{fagerlund2010multi,

   title={Multi-core programming with OpenCL: performance and portability},

   author={Fagerlund, O.A.},

   year={2010}

}

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With the advent of multi-core processors desktop computers have become multiprocessors requiring parallel programming to be utilized efficiently. Efficient and portable parallel programming of future multi-core processors and GPUs is one of today’s most important challenges within computer science. Okuda Laboratory at The University of Tokyo in Japan focuses on solving engineering challenges with parallel machines. A multi-core FEM solver package is under development within this laboratory that utilizes both standard CPUs and GPUs.This student project, given by Department of Computer and Information Science (IDI) at NTNU in cooperation with Okuda Laboratory at The University of Tokyo, seeks to explore the promising path towards more platform independent parallel programming given by the OpenCL library, runtime system and language. And, in doing so, contributing to their FEM solver software CUKr by making it utilize OpenCL.
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