Efficient and realistic statistical worst case delay computation using VHDL
Efficient and realistic statistical worst case delay computation using VHDL
A method for worst case path-delay estimation in complex digital circuits is presented. It has been named Statistical Static Timing Analysis Using a Standard Logic Simulator (SSTA for SLog). It enables acceleration of algorithmically simple but computationally expensive and time-consuming Monte-Carlo simulations. The technique deals with fabrication-dependent delay variations of a particular technology. It applies a realistic rise/fall delay model with fanout dependent delays based on technology and implementation data.
197-210
Sokolovic, M
f9919a8e-f1b3-4289-9573-70322c630fe2
Litovski, V
6d93668f-3784-453f-bd36-f9d3d7bdd9a5
Zwolinski, M
adfcb8e7-877f-4bd7-9b55-7553b6cb3ea0
2009
Sokolovic, M
f9919a8e-f1b3-4289-9573-70322c630fe2
Litovski, V
6d93668f-3784-453f-bd36-f9d3d7bdd9a5
Zwolinski, M
adfcb8e7-877f-4bd7-9b55-7553b6cb3ea0
Sokolovic, M, Litovski, V and Zwolinski, M
(2009)
Efficient and realistic statistical worst case delay computation using VHDL.
Electrical Engineering, 91 (4-5), .
Abstract
A method for worst case path-delay estimation in complex digital circuits is presented. It has been named Statistical Static Timing Analysis Using a Standard Logic Simulator (SSTA for SLog). It enables acceleration of algorithmically simple but computationally expensive and time-consuming Monte-Carlo simulations. The technique deals with fabrication-dependent delay variations of a particular technology. It applies a realistic rise/fall delay model with fanout dependent delays based on technology and implementation data.
This record has no associated files available for download.
More information
Published date: 2009
Additional Information:
Imported from ISI Web of Science
Organisations:
EEE
Identifiers
Local EPrints ID: 270355
URI: http://eprints.soton.ac.uk/id/eprint/270355
ISSN: 0948-7921
PURE UUID: d7f94bac-55c0-4957-9156-637d71e73938
Catalogue record
Date deposited: 21 Apr 2010 07:46
Last modified: 28 Apr 2022 01:34
Export record
Contributors
Author:
M Sokolovic
Author:
V Litovski
Author:
M Zwolinski
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics