Actions for Finding Regions of Interest on Toroidal Meshes [electronic resource].

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Finding Regions of Interest on Toroidal Meshes [electronic resource].

Published
Berkeley, Calif. : Lawrence Berkeley National Laboratory, 2011.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy.
Physical Description
015,003 : digital, PDF file
Additional Creators
Lawrence Berkeley National Laboratory and United States. Department of Energy. Office of Scientific and Technical Information
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Summary
Fusion promises to provide clean and safe energy, and a considerable amount of research effort is underway to turn this aspiration intoreality. This work focuses on a building block for analyzing data produced from the simulation of microturbulence in magnetic confinementfusion devices: the task of efficiently extracting regions of interest. Like many other simulations where a large amount of data are produced,the careful study of ``interesting'' parts of the data is critical to gain understanding. In this paper, we present an efficient approach forfinding these regions of interest. Our approach takes full advantage of the underlying mesh structure in magnetic coordinates to produce acompact representation of the mesh points inside the regions and an efficient connected component labeling algorithm for constructingregions from points. This approach scales linearly with the surface area of the regions of interest instead of the volume as shown with bothcomputational complexity analysis and experimental measurements. Furthermore, this new approach is 100s of times faster than a recentlypublished method based on Cartesian coordinates.
Report Numbers
E 1.99:lbnl-4364e
lbnl-4364e
Other Subject(s)
Note
Published through SciTech Connect.
02/09/2011.
"lbnl-4364e"
Computational Science&Discovery 4 1 ISSN 1749--4699 FT
Shoshani, Arie; Ethier, Stephane; Wu, Kesheng; Sinha, Rishi R; Jones, Chad; Klasky, Scott; Ma, Kwan-Liu; Winslett, Marianne.
Computational Research Division
Funding Information
DE-AC02-05CH11231
View MARC record | catkey: 14654029