Scheduled System Maintenance:
On Monday, April 27th, IEEE Xplore will undergo scheduled maintenance from 1:00 PM - 3:00 PM ET (17:00 - 19:00 UTC). No interruption in service is anticipated.
By Topic

Evaluating the Performance of Adaptive Fault-Tolerant Routing Algorithms for Wormhole-Switched Mesh Interconnect Networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Safaei, F. ; IPM Sch. of Comput. Sci., Tehran Univ. ; Khonsari, A. ; Fathy, M. ; Shantia, A.H.
more authors

One of the fundamental problems in parallel computing is how to efficiently perform routing in a faulty network each component of which fails with some probability. This paper presents a comparative performance study of ten prominent adaptive fault-tolerant routing algorithms in wormhole-switched 2D mesh interconnect networks. These networks carry a routing scheme suggested by Boppana and Chalasani as an instance of a fault-tolerant method. The suggested scheme is widely used in the literature to achieve high adaptivity and support inter-processor communications in parallel computer systems due to its ability to preserve both communication performance and fault-tolerant demands in these networks. The performance measures studied are the throughput, average message latency and average usage of virtual channels per node. Results obtained through simulation suggest two classes of presented routing schemes as high performance candidate in most faulty networks.

Published in:

Parallel and Distributed Processing Symposium, 2007. IPDPS 2007. IEEE International

Date of Conference:

26-30 March 2007