TY - GEN
T1 - A multicore-enabled multirail communication engine
AU - Brunet, Elisabeth
AU - Trahay, Francois
AU - Denis, Alexandre
PY - 2008/1/1
Y1 - 2008/1/1
N2 - The current trend in clusters architecture leads toward a massive use of multicore chips. This hardware evolution raises bottleneck issues at the network interface level. The use of multiple parallel networks allows to overcome this problem as it provides an higher aggregate bandwidth. But this bandwidth remains theoretical as only a few communication libraries are able to exploit multiple networks. In this paper, we present an optimization strategy for the NEWMADELEINE communication library. This strategy is able to efficiently exploit parallel interconnect links. By sampling each network's capabilities, it is possible to estimate a transfer duration a priori. Splitting messages and sending chunks of messages over parallel links can thus be performed efficiently to reach the theoretical aggregate bandwidth. NEWMADELEINE is multithreaded and exploits multicore chips to send small packets, that involve CPU-consuming copies, in parallel.
AB - The current trend in clusters architecture leads toward a massive use of multicore chips. This hardware evolution raises bottleneck issues at the network interface level. The use of multiple parallel networks allows to overcome this problem as it provides an higher aggregate bandwidth. But this bandwidth remains theoretical as only a few communication libraries are able to exploit multiple networks. In this paper, we present an optimization strategy for the NEWMADELEINE communication library. This strategy is able to efficiently exploit parallel interconnect links. By sampling each network's capabilities, it is possible to estimate a transfer duration a priori. Splitting messages and sending chunks of messages over parallel links can thus be performed efficiently to reach the theoretical aggregate bandwidth. NEWMADELEINE is multithreaded and exploits multicore chips to send small packets, that involve CPU-consuming copies, in parallel.
UR - https://www.scopus.com/pages/publications/57949103269
U2 - 10.1109/CLUSTR.2008.4663788
DO - 10.1109/CLUSTR.2008.4663788
M3 - Conference contribution
AN - SCOPUS:57949103269
SN - 9781424426409
T3 - Proceedings - IEEE International Conference on Cluster Computing, ICCC
SP - 316
EP - 321
BT - Proceedings of the 2008 IEEE International Conference on Cluster Computing, CCGRID 2008
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2008 IEEE International Conference on Cluster Computing, ICCC 2008
Y2 - 29 September 2008 through 1 October 2008
ER -