Model and simulation of exascale communication networks

• Published in: Journal of simulation : JOS 2012-11, Vol.6 (4), p.227-236
• Main Authors: Liu, N, Carothers, C, Cope, J, Carns, P, Ross, R
• Format: Article
• Language: English
• Subjects: Algorithms; Alliances; Business and Management; Co-design; discrete-event model; exascale; Information Systems and Communication Service; Operations Research/Decision Theory; parallel discrete-event simulation; Simulation; Simulation and Modeling; Supercomputers; torus network; Traffic congestion
• ISSN: 1747-7778; 1747-7786
• DOI: 10.1057/jos.2012.4

Exascale supercomputers will have millions or even hundreds of millions of processing cores and the potential for nearly billion-way parallelism. Exascale compute and data storage architectures will be critically dependent on the interconnection network. The most popular interconnection network for current and future supercomputer systems is the torus (eg, k-ary, n-cube). This paper focuses on the modelling and simulation of ultra-large-scale torus networks using Rensselaer's Optimistic Simulator System. We compare real communication delays between our model and the actual torus network from Blue Gene/L using 2048 processors. Our performance experiments demonstrate the ability to simulate million-node to billion-node torus networks. The torus network model for a 16-million-node configuration shows a high degree of strong scaling when going from 1024 cores to 32 768 cores on Blue Gene/L, with a peak event-rate of nearly 5 billion events per second. We also demonstrate the performance of our torus network model configured with 1 billion nodes on both Blue Gene/L and Blue Gene/P systems. The observed best event rate at 128 K cores is 12.36 billion per second on Blue Gene/P.