SCHEDULE: NOV 16-22, 2013
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A New Routing Scheme for Jellyfish and its Performance with HPC Workloads
SESSION: Performance Analysis of Applications at Large Scale
EVENT TYPE: Papers
TIME: 11:30AM - 12:00PM
SESSION CHAIR: Darren J. Kerbyson
AUTHOR(S):Xin Yuan, Santosh Mahapatra, Wickus Nienaber, Scott Pakin, Michael Lang
ROOM:201/203
ABSTRACT:
The jellyfish topology where switches are connected using a random graph
has recently been proposed for large scale data-center networks. It has been
shown to offer higher bisection bandwidth and better permutation throughput
than the corresponding fat-tree topology with a similar cost. In this work, we propose a new routing scheme for jellyfish that out-performs existing schemes by more effectively exploiting the path diversity, and comprehensively
compare the performance of jellyfish and fat-tree topologies with HPC workloads. The results indicate that both jellyfish and fat-tree topologies offer comparable high performance for HPC workloads on systems that can be realized by 3-level fat-trees using the current technology and the
corresponding jellyfish topologies with similar costs. Fat-trees are more
effective for smaller systems while jellyfish is more scalable.
Chair/Author Details:
Darren J. Kerbyson (Chair) - Pacific Northwest National Laboratory
Xin Yuan - Florida State University
Santosh Mahapatra - Florida State University
Wickus Nienaber - Florida State University
Scott Pakin - Los Alamos National Laboratory
Michael Lang - Los Alamos National Laboratory
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The full paper can be found in the ACM Digital Library