Identifying Logical Homogeneous Clusters for Efficient Wide-area Communications

@article{Steffenel2004IdentifyingLH,
  title={Identifying Logical Homogeneous Clusters for Efficient Wide-area Communications},
  author={Luiz Angelo Steffenel and Gr{\'e}gory Mouni{\'e}},
  journal={ArXiv},
  year={2004},
  volume={cs.DC/0408033}
}
Recently, many works focus on the implementation of collective communication operations adapted to wide area computational systems, like computational Grids or global-computing. Due to the inherently heterogeneity of such environments, most works separate "clusters" in different hierarchy levels. to better model the communication. However, in our opinion, such works do not give enough attention to the delimitation of such clusters, as they normally use the locality or the IP subnet from the… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 14 REFERENCES

ECO: Efficient Collective Operations for communication on heterogeneous networks

  • Proceedings of International Conference on Parallel Processing
  • 1996
VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL

TOPOMON: A Monitoring Tool for Grid Network Topology

  • International Conference on Computational Science
  • 2002
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Automatic deployment of the Network Weather Service using the Effective Network View

  • 18th International Parallel and Distributed Processing Symposium, 2004. Proceedings.
  • 2004
VIEW 1 EXCERPT

A Multilevel Approach to Topology-Aware Collective Operations in Computational Grids

N. T. Karonis, I. Foster, +3 authors S. Lacour
  • Technical report ANL/MCS-P948-0402, Mathematics and Computer Science Division, Argonne National Laboratory
  • 2002
VIEW 1 EXCERPT

Interoperable MPI Web page

M. Burger, T. Kielmann, H. Bal
  • TopoMon : a monitoring tool for Grid network topology . Intl . Conference on Computational Science ’ 02
  • 2002

Network Performanceaware Collective Communication for Clustered Wide Area Systems

T. Kielman, E. Bal, S. Gorlatch, K Verstoep, R. Hofman
  • Parallel Computing, Vol. 27, No. 11, Elsevier Science.
  • 2001
VIEW 1 EXCERPT