TY - GEN
T1 - Skywalk
T2 - 28th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2014
AU - Fujiwara, Ikki
AU - Koibuchi, Michihiro
AU - Matsutani, Hiroki
AU - Casanova, Henri
PY - 2014
Y1 - 2014
N2 - With low-delay switches on the horizon, end-to-end latency in large-scale High Performance Computing (HPC) interconnects will be dominated by cable delays. In this context we define a new network topology, Skywalk, for deploying low-latency interconnects in upcoming HPC systems. Skywalk uses randomness to achieve low latency, but does so in a way that accounts for the physical layout of the topology so as to lead to further cable length and thus latency reductions. Via graph analysis and discrete-event simulation we show that Skywalk compares favorably (in terms of latency, cable length, and throughput) to traditional low-degree torus and moderate-degree hypercube topologies, to high-degree fully-connected Dragonfly topologies, to the HyperX topology, and to recently proposed fully random topologies.
AB - With low-delay switches on the horizon, end-to-end latency in large-scale High Performance Computing (HPC) interconnects will be dominated by cable delays. In this context we define a new network topology, Skywalk, for deploying low-latency interconnects in upcoming HPC systems. Skywalk uses randomness to achieve low latency, but does so in a way that accounts for the physical layout of the topology so as to lead to further cable length and thus latency reductions. Via graph analysis and discrete-event simulation we show that Skywalk compares favorably (in terms of latency, cable length, and throughput) to traditional low-degree torus and moderate-degree hypercube topologies, to high-degree fully-connected Dragonfly topologies, to the HyperX topology, and to recently proposed fully random topologies.
KW - Interconnection network
KW - cabinet layout
KW - high performance computing
KW - network topology
UR - http://www.scopus.com/inward/record.url?scp=84906656430&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84906656430&partnerID=8YFLogxK
U2 - 10.1109/IPDPS.2014.37
DO - 10.1109/IPDPS.2014.37
M3 - Conference contribution
AN - SCOPUS:84906656430
SN - 9780769552071
T3 - Proceedings of the International Parallel and Distributed Processing Symposium, IPDPS
SP - 263
EP - 272
BT - Proceedings - IEEE 28th International Parallel and Distributed Processing Symposium, IPDPS 2014
PB - IEEE Computer Society
Y2 - 19 May 2014 through 23 May 2014
ER -