Message Scheduling for All-to-All Personalized Communication on Ethernet Switched Clusters

  • Authors:
  • Ahmad Faraj;Xin Yuan

  • Affiliations:
  • Florida State University, Tallahassee, FL;Florida State University, Tallahassee, FL

  • Venue:
  • IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers - Volume 01
  • Year:
  • 2005

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Abstract

We develop a message scheduling scheme that can theoretically achieve the maximum throughput for all-to-all personalized communication (AAPC) on any given Ethernet switched cluster. Based on the scheduling scheme, we implement an automatic routine generator that takes the topology information as input and produces a customized MPI Alltoall routine, a routine in the Message Passing Interface (MPI) standard that realizes AAPC. Experimental results show that the automatically generated routine consistently out-performs other MPI Alltoall algorithms, including those in LAM/MPI and MPICH, on Ethernet switched clusters with different network topologies when the message size is sufficiently large. Thisdemonstrates the superiority of the proposed AAPC algorithm in exploiting network bandwidths.