Wilkes Anesthesia Associates 1370 W D St, North Wilkesboro, NC 28659 (866)4342745 (phone), (336)4346478 (fax)
Education:
Medical School East Carolina University Brody School Medicine Graduated: 1988
Languages:
English
Description:
Dr. Barnette graduated from the East Carolina University Brody School Medicine in 1988. He works in North Wilkesboro, NC and specializes in Anesthesiology. Dr. Barnette is affiliated with Wilkes Regional Medical Center.
Letourneau University
Associate Professor, Letourneau University
Sandia National Laboratories May 1977 - Dec 2014
Senior Member Technical Staff
Education:
Stanford University 1981 - 1983
Doctorates, Doctor of Philosophy, Philosophy
The University of Texas at Austin 1976 - 1977
Masters, Aerospace Engineering
The University of Texas at Austin 1973 - 1976
Bachelors, Aerospace Engineering
Texarkana College 1971 - 1973
Associates, Associate of Arts
Skills:
Grid Generation Computational Fluid Dynamics For Low Speed and High Speed Flows Fortran Numerical Analysis Scientific Computing Software Engineering High Performance Computing C++ Python C Programming
Daniel W. Barnette - Veguita NM Curtis C. Ober - Los Lunas NM
Assignee:
Sandia Corporation - Albuquerque NM
International Classification:
G06F 1750
US Classification:
703 2, 703 22, 709105
Abstract:
A multiprocessor computer overset grid method and apparatus comprises associating points in each overset grid with processors and using mapped interpolation transformations to communicate intermediate values between processors assigned base and target points of the interpolation transformations. The method allows a multiprocessor computer to operate with effective load balance on overset grid applications.
The present invention provides a method of grid generation that uses the geometry of the problem space and the governing relations to generate a grid. The method can generate a grid with minimized discretization errors, and with minimal user interaction. The method of the present invention comprises assigning grid cell locations so that, when the governing relations are discretized using the grid, at least some of the discretization errors are substantially zero. Conventional grid generation is driven by the problem space geometry; grid generation according to the present invention is driven by problem space geometry and by governing relations. The present invention accordingly can provide two significant benefits: more efficient and accurate modeling since discretization errors are minimized, and reduced cost grid generation since less human interaction is required.