Close category search window
 

Massively parallel simulation algorithms for grid-based analog signal processors

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

3 Author(s)
Lumsdaine, A. ; Dept. of Electr. Eng. & Comput. Sci., MIT, Cambridge, MA, USA ; Silveira, L.M. ; White, J.K.

This paper presents the algorithms for CMVSIM, a program for performing the transient simulation of grid based analog signal processors on a massively parallel computer. A grid-based equation formulation approach and a block-diagonal preconditioned CGS algorithm are described, and it is shown how they are used to efficiently perform transient simulation using the massively parallel Connection Machine. Experimental results using CMVSIM to simulate realistic image processing circuits are given to demonstrate that the algorithms presented are effective for a general class of grid-based signal processors. In particular, the results presented demonstrate that CMVSIM: running on a full-size Connection Machine can be as much as 650 times faster than what is, to the authors' knowledge, the fastest serial transient simulation algorithm running on a SUN-4/490 workstation

Published in:
Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on  (Volume:12 ,  Issue: 11 )

Date of Publication: Nov 1993

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.