Evaluation of Shared Memory System with OpenMP Applications in λ Computing Environment

نویسندگان

  • Mai IMOTO
  • Keigo GODA
  • Noriyuki FUJIMOTO
  • Ken-ichi BABA
  • Masayuki MURATA
چکیده

Our research group has proposed a new high performance computing architecture, which we call the λ computing environment. In the λ computing environment, every computing node has a shared memory connected with the optical wavelength path. In this paper, we execute an application of OpenMP, Parallel Programming API, and evaluate the performance of the λ computing environment. The results show an advantage of parallel computing and effect of the access speed to the shared memory on the performance.

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تاریخ انتشار 2007