A comparative study of memory structures for DSM systems on wireless environments

  • Authors:
  • Hsiao-Hsi Wang;Kuang-Jui Wang;Chien-Lung Chou;Ssu-Hsuan Lu;Kuan-Ching Li

  • Affiliations:
  • Parallel and Distributed Processing Center, Dept. of Computer Science and Information Management, Providence University Shalu, Taichung, Taiwan;Parallel and Distributed Processing Center, Dept. of Computer Science and Information Management, Providence University Shalu, Taichung, Taiwan;Parallel and Distributed Processing Center, Dept. of Computer Science and Information Management, Providence University Shalu, Taichung, Taiwan;Parallel and Distributed Processing Center, Dept. of Computer Science and Information Management, Providence University Shalu, Taichung, Taiwan;Parallel and Distributed Processing Center, Dept. of Computer Science and Information Management, Providence University Shalu, Taichung, Taiwan

  • Venue:
  • ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part I
  • Year:
  • 2006

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Abstract

In recent years, wireless networking has become more popular than ever. Distributed shared memory (DSM) combines computer hardware resources in order to achieve the efficiency and high performance provided by parallel computing. Unfortunately, the major overhead of DSM software is the communication time, especially in wireless network environments. In this paper, we have implemented three memory structures over JIAJIA DSM system on wireless network, and then analyzed their performance. From experimental results, we could find out the relation between communication time and memory layouts. In addition, we have also discovered relationship between characteristics of application programs and memory structures. Experimental results of five well-known benchmark applications show that a suitable memory layout can effectively reduce communication overhead in wireless network. We have analyzed advantages and disadvantages of these memory structures, to improve future designs of wireless DSM systems.