DocumentCode
123939
Title
On Robustness of EDA Tools
Author
Schmidt, J. ; Fier, Petr ; Balcarek, Jiri
Author_Institution
Fac. of Inf. Technol., Czech Tech. Univ. in Prague, Prague, Czech Republic
fYear
2014
fDate
27-29 Aug. 2014
Firstpage
427
Lastpage
434
Abstract
It is known that EDA tools produce results of different quality dependent on seemingly neutral details in the input. We bring further results in this direction, which show that the differences can impair any quantitative comparisons of the tools. To gain qualitative insight, we present a stochastic model of result quality based on Gaussian Mixtures. We show on three case studies how these models help to evaluate and improve EDA algorithms.
Keywords
Gaussian processes; electronic design automation; logic CAD; mixture models; EDA algorithms; EDA tools; Gaussian mixtures; stochastic model; Benchmark testing; Histograms; Integrated circuit modeling; Logic gates; Robustness; Table lookup; Vectors; logic synthesis; randomness; robustness; stochastic models;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital System Design (DSD), 2014 17th Euromicro Conference on
Conference_Location
Verona
Type
conf
DOI
10.1109/DSD.2014.22
Filename
6927274
Link To Document