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Performance Evaluation of OpenMP and CUDA on Multicore Systems

  • Conference paper
Algorithms and Architectures for Parallel Processing (ICA3PP 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7440))

Abstract

Nowadays, not only CPU but also GPU goes along the trend of multi-core processors. Parallel processing presents not only an opportunity but also a challenge at the same time. To explicitly parallelize the software by programmers or compilers is the key for enhancing the performance on multi-core chip. In this paper, we first introduce some of the automatic parallel tools based OpenMP, which could save the time to rewrite codes for parallel processing on multicore system. Then we focus on ROSE and explore it in depth. And we also implement an interface to reduce its complexity of use and use some automatic parallelization for CUDA.

This study was supported in part by the National Science Council, Taiwan ROC, under grant numbers NSC 100-2218-E-029-001, NSC 101-2221-E-029-014 and NSC 101-2622-E-029-008-CC3.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Tunghai University, Taichung City, 40704, Taiwan

    Chao-Tung Yang, Tzu-Chieh Chang, Kuan-Lung Huang & Jung-Chun Liu

  2. Department of Information Management, Hsiuping University of Science Technology, Taichung City, 41280, Taiwan

    Chih-Hung Chang

Authors
  1. Chao-Tung Yang
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  2. Tzu-Chieh Chang
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  3. Kuan-Lung Huang
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  4. Jung-Chun Liu
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  5. Chih-Hung Chang
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Editor information

Editors and Affiliations

  1. School of Information Technology, Deakin University, Melbourne Burwood Campus, 221 Burwood Highway, 3125, Burwood, VIC, Australia

    Yang Xiang

  2. SEECS, University of Ottawa, 8, King Edward Ave, K1N 6N5, Ottawa, ON, Canada

    Ivan Stojmenovic

  3. Department of Intelligent Informatics, Kyushu Sangyo University, 2-3-1 Matsukadai, Higashi-ku, 813-8503, Fukuoka, Japan

    Bernady O. Apduhan

  4. School of Information Science and Engineering, Central South University, 410083, Changsha, Hunan Province, P.R. China

    Guojun Wang

  5. Department of Information Engineering, Hiroshima University, 1-4-1, Kagamiyama, 739-8527, Higashi-Hiroshima, Japan

    Koji Nakano

  6. School of Information Technologies, University of Sydney, Building J12, 2006, Sydney, NSW, Australia

    Albert Zomaya

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© 2012 Springer-Verlag Berlin Heidelberg

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Yang, CT., Chang, TC., Huang, KL., Liu, JC., Chang, CH. (2012). Performance Evaluation of OpenMP and CUDA on Multicore Systems. In: Xiang, Y., Stojmenovic, I., Apduhan, B.O., Wang, G., Nakano, K., Zomaya, A. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2012. Lecture Notes in Computer Science, vol 7440. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33065-0_25

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  • DOI: https://doi.org/10.1007/978-3-642-33065-0_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33064-3

  • Online ISBN: 978-3-642-33065-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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