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The FSU MPI project

Overview

We investigate various techniques for optimizing the performance of MPI programs in the clusters of workstations environment. We consider Ethernet and Infiniband clusters with single CPU, SMP, and multi-core nodes. Our current efforts include the following:
  • Understanding important performance issues in MPI collective operations
  • Developing topology and architecture specific communication algorithms
  • Developing practical and accurate performance models for MPI collective communication algorithms
  • Investigating adaptive MPI library implementation techniques
  • Investigating the integrated compiler and library approach (compiled communication) for MPI optimizations.

People

Faculty:

Current Students:

  • Joshua Lawrence
  • Wickus Nienaber
  • Pitch Patarasuk
  • Matthew Small
  • Chi Zhang

Past students:

  • Ahmad Faraj (PHD 2006, currently at IBM)

Equipment

  • draco.cs.fsu.edu (since Summer 2007)
    • Number of nodes: 18
    • Node: Dell Poweredge 1950 (two 2.33 GHz Quad-core Intel Xeon E5345, 8 cores per node).
    • Memory: 8GB per node
    • Connectivity: (1) Infiniband DDR (20Gbps), (2) 1Gbps managed Ethernet, (3) 100Mbps Ethernet.
  • cetus.cs.fsu.edu (since Fall 2004)
    • Number of nodes: 36
    • Node: Dell dimension 2400 (2.8GHz P4)
    • Memory: 640MB per node
    • connectivity: 1 Gbps and 100 Mbps reconfigurable Ethernet (8 Ethernet switches in disposal)

Publications

Journal publications

Conference Publications

Thesis

Software

  • STAR-MPI package
  • STAGE_MPI package
  • An MPI tool for discovering the switch level topology in a homogeneous Ethernet cluster.
  • CCMPI version 1.0. This is an undocumented prototype MPI implementation that optimizes a number of MPI collective communication routines for Ethernet switched LINUX clusters through compiled communication. The README file describes how to use CCMPI-1.0.

Sponsors

This research is supported by NSF CCR-0073482, CCF-0342540, and CCF-0541096

Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.


© 2002-2003 Xin Yuan & Florida State University. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means without written permission.