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Parallel Benefit on Different Programming Paradigms

Chau-Yi Chou, Sheng-Hsiu Kuo, Chih-Wei Hsieh, Tsung-Che Tsai, Hsi-Ya Chang
National Center for High-Performance Computing, Taiwan
The 2012 International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA’12), 2012
@article{chou2012parallel,

   title={Parallel Benefit on Different Programming Paradigms},

   author={Chou, C.Y. and Kuo, S.H. and Hsieh, C.W. and Tsai, T.C. and Chang, H.Y.},

   year={2012}

}

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Multi-core platforms become ubiquitous nowadays. Even laptops contain multi-core processors now. There are multiple cores in a chip or socket or die. A computing node contains multiple chips. Multi-core platforms are rapidly increasing and the number of cores on these platforms is increasing rapidly too. How to enjoy the benefits of parallel computing on the multi-core platforms plays a key role in High Performance Computing. With the increasing complexity of modern multi-core processors, the problem of distributing a software application across different cores to maximize the utilization of the computing power becomes more and more difficult. Different programming patterns great influence the program performance. We implement different parallel programming paradigms on Himeno Benchmark via hybrid MPI/OpenMP in this paper. Moreover, we will evaluate the performance of those on NCHC GPU Cluster and NCHC ALPS. We establish a Roofline Model for NVIDIA GT200, too. We hope the results can give some useful information to the user of HPC.
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