The Taub Faculty of Computer Science Events and Talks

As the size of High Performance Computing clusters grows, the increasing probability of interconnect hot spots degrades the latency and effective bandwidth the network provides. This paper presents a solution to this scalability problem for real life constant bisectional-bandwidth fat-tree topologies. It is shown that maximal bandwidth and cut-through latency can be achieved for MPI global collective traffic. To form such congestion-free configuration, MPI programs should utilize collective communication, MPI-node-order should be topology aware, and the packets routing should match the MPI communication patterns. First, we show that MPI collectives can be classified into unidirectional and bidirectional shifts. Using this property, we propose a scheme for congestion-free routing of the global collectives in fully and partially populated fat trees running a single job. Simulation results of the proposed routing, MPI-node-order and communication patterns show a 40% throughput improvement over previously published results for all-to-all collectives.