High-fidelity real-time simulation on deployed platforms
Name
Patera_High-Fidelity AFM for print pub April 2011.pdf
Size
921.09 KB
Format
Adobe PDF
Checksum (MD5)
4908ad59088ca7ba261d29a8dc8b5180
Author(s)
Peterson, J.W.
Huynh, Dinh Bao Phuong
Knezevic, David
Patera, Anthony T.
Date Issued
September 2010
Journal
Computers & Fluids
Publisher
Elsevier
Citation
Huynh, D.B.P., D.J. Knezevic, J.W. Peterson, and A.T. Patera. “High-Fidelity Real-Time Simulation on Deployed Platforms.” Computers & Fluids 43, no. 1 (April 2011): 74–81.
Version
Author's final manuscript
Abstract
We present a certified reduced basis method for high-fidelity real-time solution of parametrized partial differential equations on deployed platforms. Applications include in situ parameter estimation, adaptive design and control, interactive synthesis and visualization, and individuated product specification. We emphasize a new hierarchical architecture particularly well suited to the reduced basis computational paradigm: the expensive Offline stage is conducted pre-deployment on a parallel supercomputer (in our examples, the TeraGrid machine Ranger); the inexpensive Online stage is conducted “in the field” on ubiquitous thin/inexpensive platforms such as laptops, tablets, smartphones (in our examples, the Nexus One Android-based phone), or embedded chips. We illustrate our approach with three examples: a two-dimensional Helmholtz acoustics “horn” problem; a three-dimensional transient heat conduction “Swiss Cheese” problem; and a three-dimensional unsteady incompressible Navier–Stokes low-Reynolds-number “eddy-promoter” problem.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
Creative Commons Attribution-Noncommercial-NoDerivatives
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1016/j.compfluid.2010.07.007
