期刊文献+

MPI-IO中Collective I/O的优化

Optimization of Collective I/O in MPI-IO
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摘要 本文对MPI-IO库中Collective I/O的实现算法Two-phase I/O提出了改进。通过选取主联络进程来减少第 一阶段进程间的通信量,从而减少Two-phase I/O方法在通信过程中的时间消耗,提高了整体的I/O性能。 The paper proposes some improvements on the two-phase I/O algorithm which is the implementation of Collective I/O in the MPI-IO library. The new algorithm reduces the number of communications between the processes in the first phase by selecting a main contacting process, which results in the reduction of time expense in the communication process of the two-phase I/O algorithm and improves the whole I/O performance.
出处 《计算机工程与科学》 CSCD 2005年第2期65-67,共3页 Computer Engineering & Science
基金 科技部科技型中小企业技术创新基金项目(01C26214210289)
关键词 MPI-IO COLLECTIVE I/O算法 计算机 优化 MPI-IO collective I/O two-phase I/O
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参考文献5

  • 1Message Passing Inerface Forum. MPI-2: Extensions to the Message-Passing Interface [EB/OL]. http:∥www. mpi-forum. org/docs/docs. html, 1997-07.
  • 2ROMIO: A High-Performance,Portable MPI-IO Implementation[EB/OL]. http:∥www. mcs. anl. gov/romio, 1997-07.
  • 3K E Seamons,Y Chen,P Jones,et al. Server-Directed Collective I/O in Panda[A]. Proc of Supercomputing '95[C]. 1995.
  • 4Rajeev Thakur, Alok Choudhary. An Extended Two-Phase Method for Accessing Sections of Out-of-Core Arrays[J].Scientific Programming, 1996,5(4): 301-317.
  • 5Rajeev Thakur,William Grdopp, Ewing Lusk. Data Sieving and Collective I/O in ROMIO[A]. Proc of the 7th Symp on the Frontiers of Massively Parallel Computation[C]. 1999.182-189.?A

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