Title page for ETD etd-04262011-114601


Type of Document Master's Thesis
Author Jiang, Lei
Author's Email Address lionelchange@gmail.com
URN etd-04262011-114601
Title Parallel Surrogate Detection in Large-Scale Simulations
Degree Master of Science in Systems Science (M.S.S.S.)
Department Computer Science
Advisory Committee
Advisor Name Title
Allen, Gabrielle Committee Chair
Chen, Qin Committee Member
Zhang, Jian Committee Member
Keywords
  • large-scale simulations
  • data mining
  • scalability
  • surrogate modeling
  • automated workflow
Date of Defense 2011-04-08
Availability unrestricted
Abstract
Simulation has become a useful approach in scientific computing and engineering for its ability to model real natural or human systems. In particular, for complex systems such as hurricanes, wildfire disasters, and real-time road traffic, simulation methods are able to provide researchers, engineers and decision makers predicted values in order to help them to take appropriate actions. For large-scale problems, the simulations usually take a lot of time on supercomputers, thus making real-time predictions more difficult. Approximation models that mimic the behavior of simulation models but are computationally cheaper, namely "surrogate models", are desired in such scenarios. In the thesis, a framework for scalable surrogate detection in large-scale simulations is presented with the basic idea of "using functions to represent functions". The following issues are discussed in the thesis: i) the data mining approaches to detecting and optimizing the surrogate models; ii) the scalable and automated workflow of constructing surrogate models from large-scale simulations; and iii) the system design and implementation with the application of storm surge simulations in the occurrence of hurricanes.
Files
  Filename       Size       Approximate Download Time (Hours:Minutes:Seconds) 
 
 28.8 Modem   56K Modem   ISDN (64 Kb)   ISDN (128 Kb)   Higher-speed Access 
  ssd_copy2.pdf 1.45 Mb 00:06:41 00:03:26 00:03:00 00:01:30 00:00:07

Browse All Available ETDs by ( Author | Department )

If you have questions or technical problems, please Contact LSU-ETD Support.