Advances in Electromagnetic Modelling through High Performance Computing

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Description

Under the DOE SciDAC project on Accelerator Science and Technology, a suite of electromagnetic codes has been under development at SLAC that are based on unstructured grids for higher accuracy, and use parallel processing to enable large-scale simulation. The new modeling capability is supported by SciDAC collaborations on meshing, solvers, refinement, optimization and visualization. These advances in computational science are described and the application of the parallel eigensolver Omega3P to the cavity design for the International Linear Collider is discussed.

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5 pages

Creation Information

Ko, K.; Folwell, N.; Ge, L.; Guetz, A.; Lee, L.; Li, Z. et al. March 29, 2006.

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Description

Under the DOE SciDAC project on Accelerator Science and Technology, a suite of electromagnetic codes has been under development at SLAC that are based on unstructured grids for higher accuracy, and use parallel processing to enable large-scale simulation. The new modeling capability is supported by SciDAC collaborations on meshing, solvers, refinement, optimization and visualization. These advances in computational science are described and the application of the parallel eigensolver Omega3P to the cavity design for the International Linear Collider is discussed.

Physical Description

5 pages

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Identifier

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  • Report No.: SLAC-PUB-11789
  • Grant Number: AC02-76SF00515
  • DOI: 10.2172/878342 | External Link
  • Office of Scientific & Technical Information Report Number: 878342
  • Archival Resource Key: ark:/67531/metadc878979

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

Office of Scientific and Technical Information (OSTI) is the Department of Energy (DOE) office that collects, preserves, and disseminates DOE-sponsored research and development (R&D) results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions.

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Creation Date

  • March 29, 2006

Added to The UNT Digital Library

  • Sept. 21, 2016, 2:29 a.m.

Description Last Updated

  • Nov. 22, 2016, 4:04 p.m.

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Ko, K.; Folwell, N.; Ge, L.; Guetz, A.; Lee, L.; Li, Z. et al. Advances in Electromagnetic Modelling through High Performance Computing, report, March 29, 2006; [Menlo Park, California]. (digital.library.unt.edu/ark:/67531/metadc878979/: accessed October 18, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.