DocumentCode
500772
Title
Oil fields, hedge funds, and drugs
Author
Groeneveld, Patrick ; Rutenbar, Rob A. ; Carlson, Erik ; Pitera, Jed ; Chen, Jinsong
Author_Institution
Magma Design Autom., Inc., San Jose, CA, USA
fYear
2009
fDate
26-31 July 2009
Firstpage
416
Lastpage
417
Abstract
Statistical analysis is a fundamental method in analysis, design, and optimization of large systems with uncertainties. It is being applied in drug development, analyzing financial markets, search for new oil fields, and many more areas. As the silicon process technology scales to its limits, uncertainty plays an increasing role and has made its way into tools such as yield analysis, statistical time analysis, etc. In this educational panel, we will start with a short tutorial on Monte Carlo methods including their use in EDA. Three experts from distinct application fields will then follow and discuss their experience in using Monte Carlo methods for solving large-scale problems in their domain. It may come as a surprise to some attendees of DAC to learn how much commonality there is between methods used in EDA and other field that seem far-fetched.
Keywords
Monte Carlo methods; financial data processing; optimisation; petroleum industry; pharmaceutical industry; statistical analysis; Monte Carlo method; drug development; electronic design automation; financial market; oil field; optimization; silicon process technology; statistical analysis; Design methodology; Design optimization; Drugs; Electronic design automation and methodology; Large-scale systems; Petroleum; Pharmaceutical technology; Silicon; Statistical analysis; Uncertainty; Drug discovery; Financial market analysis; Monte Carlo methods; Oil field discovery;
fLanguage
English
Publisher
ieee
Conference_Titel
Design Automation Conference, 2009. DAC '09. 46th ACM/IEEE
Conference_Location
San Francisco, CA
ISSN
0738-100X
Print_ISBN
978-1-6055-8497-3
Type
conf
Filename
5227024
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