By Topic

Saturation NOW

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

2 Author(s)
Ming-Ying Chung ; Dept. of Comput. Sci. & Eng., California Univ., Riverside, CA, USA ; Ciardo, G.

We present a distributed version of the saturation algorithm for symbolic state-space generation of discrete-state models. The execution is strictly sequential but utilizes the overall available memory. A level-based allocation of the decision diagram nodes onto the workstations is created. No additional node or work is created. A dynamic memory load balancing heuristic helps coping with the uneven growth of the decision diagram levels allocated to each workstation. Experiments on a conventional network of workstations show that the runtime of our distributed implementation is close to the sequential one even when balancing is triggered, while it is of course much better when the sequential implementation is forced to rely on virtual memory.

Published in:

Quantitative Evaluation of Systems, 2004. QEST 2004. Proceedings. First International Conference on the

Date of Conference:

27-30 Sept. 2004