Oil fields, hedge funds, and drugs

Patrick Groeneveld, Rob A. Rutenbar, Erik Carlson, Jed Pitera, Chen Jinsong

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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.

Original languageEnglish (US)
Title of host publication2009 46th ACM/IEEE Design Automation Conference, DAC 2009
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages2
ISBN (Print)9781605584973
StatePublished - 2009
Externally publishedYes
Event2009 46th ACM/IEEE Design Automation Conference, DAC 2009 - San Francisco, CA, United States
Duration: Jul 26 2009Jul 31 2009

Publication series

NameProceedings - Design Automation Conference
ISSN (Print)0738-100X


Other2009 46th ACM/IEEE Design Automation Conference, DAC 2009
Country/TerritoryUnited States
CitySan Francisco, CA


  • Drug discovery
  • Financial market analysis
  • Monte Carlo methods
  • Oil field discovery

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Modeling and Simulation


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