DocumentCode
3258941
Title
Parallel waveform relaxation of circuits with global feedback loops
Author
Johnson, T.A. ; Ruehli, A.E.
Author_Institution
IBM Thomas J. Watson Res. Centre, Yorktown Heights, NY, USA
fYear
1992
fDate
8-12 Jun 1992
Firstpage
12
Lastpage
15
Abstract
Feedback loops often severely degrade the performance of waveform relaxation techniques in solving large circuit analysis problems. Several new approaches have been studied to provide greater parallelism and faster convergence for such circuits. WRV256, an experimental waveform-relaxation-based parallel circuit simulator for the Victor family of distributed memory parallel machines, was used to study performance tradeoffs of partitioning and scheduling algorithms for circuits containing global feedback loops. This investigation included circuits ranging from less than 300 to over 93000 transistors. Several of the circuits were extracted directly from a 16 Mb DRAM design
Keywords
circuit analysis computing; feedback; 16 Mb DRAM design; Victor family; WRV256; distributed memory parallel machines; global feedback loops; large circuit analysis problems; parallel circuit simulator; parallel waveform relaxation of circuits; parallelism; partitioning; performance; scheduling algorithms; Circuit analysis; Circuit simulation; Convergence; Coupling circuits; Degradation; Feedback circuits; Feedback loop; Random access memory; SPICE; Very large scale integration;
fLanguage
English
Publisher
ieee
Conference_Titel
Design Automation Conference, 1992. Proceedings., 29th ACM/IEEE
Conference_Location
Anaheim, CA
ISSN
0738-100X
Print_ISBN
0-8186-2822-7
Type
conf
DOI
10.1109/DAC.1992.227871
Filename
227871
Link To Document