EconPapers    
Economics at your fingertips  
 

Model and simulation of exascale communication networks

N Liu, C Carothers, J Cope, P Carns and R Ross

Journal of Simulation, 2012, vol. 6, issue 4, 227-236

Abstract: 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.

Date: 2012
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1057/jos.2012.4 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tjsmxx:v:6:y:2012:i:4:p:227-236

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjsm20

DOI: 10.1057/jos.2012.4

Access Statistics for this article

Journal of Simulation is currently edited by Christine Currie

More articles in Journal of Simulation from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:tjsmxx:v:6:y:2012:i:4:p:227-236