By Topic

Synthesis of algorithm-based fault-tolerant systems from dependence graphs

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
$33 $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

2 Author(s)
B. Vinnakota ; Dept. of Electr. Eng., Minnesota Univ., Minneapolis, MN, USA ; N. K. Jha

Algorithm-based fault tolerance (ABFT) is a method for improving the reliability of parallel architectures used for computation-intensive tasks. A two-stage approach to the synthesis of ABFT systems is proposed. In the first stage, a system-level code is chosen to encode the data used in the algorithm. In the second stage, the optimal architecture to implement the scheme is chosen using dependence graphs. Dependence graphs are a graph-theoretic form of algorithm representation. The authors demonstrate that not all architectures are ideal for the implementation of a particular ABFT scheme. They propose new measures to characterize the fault tolerance capability of a system to better exploit the proposed synthesis method. Dependence graphs can also be used for the synthesis of ABFT schemes for non-linear problems. An example of a fault-tolerant median filter is provided to illustrate their utility for such problems

Published in:

IEEE Transactions on Parallel and Distributed Systems  (Volume:4 ,  Issue: 8 )