Supercomputing
Welcome...
Welcome to the CFDLab Supercomputing page. On this page you will find samples of the work being done by CFDLab personnel on research projects involving a variety of supercomputing architectures. The research includes work being done on generalized gradient iterative solvers such as biconjugate gradient and conjugate gradient squared, parallel element-by-element spectral schemes, massively parallel domain decomposition strategies, time-stepping Runge-Kutta iterative recursion schemes, and the development of a portable, scalable, conjugant gradient based iterative library. A variety of applications studies in the areas of fluid dynamics are being conducted, including research in transport phenomena, semiconductor device modeling, and process transport. The work is supported in part by industry, state, and federal grants.
-G. F. Carey Director, CFDLab
Sample Projects
- ARPA Sponsored Projects
- Cray Research, Inc. Sponsored Projects
- DOE
- Parallel Distributed Iterative Solver
- Semiconductor Research
- Fluid Flow Research
Publications
- G.F. Carey and M. Ma, `Joint Elements, Stress Post-Processing and Superconvergent Extraction with Application to Mohr-Coulomb Failure,' Commun. Numer. Meth. Engng, 15, 335-347 (1999).
- A. Bose and G.F. Carey, `A Class of Data Structures and Object-Oriented Implementation for Finite Element Methods on Distributed Memory Systems,' Comput. Methods Appl. Engrg. 171 (1999) 109-121.
- G.F. Carey, Y. Shen and R.T. McLay, `Parallel Conjugate Gradient Performance for Least-Squares Finite Elements and Transport Problems,' Int. J. Numer. Meth. Fluids, 28: 1421-1440 (1998).
- D. Biswas and G.F. Carey, `Least-Squares Finite Element Method to Predict Areal Composition Variations in Large Hydrocarbon Reservoirs,' SPE Journal, December 1998.