UEDGE swMATH ID: 6563 Software Authors: Rognlien, T. D.; Xu, X. Q.; Hindmarsh, A. C. Description: Application of parallel implicit methods to edge-plasma numerical simulations. A description is given of the parallelization algorithms and results for two codes used extensively to model edge plasmas in magnetic fusion energy devices. The codes are UEDGE, which calculates two-dimensional plasma and neutral gas profiles over long equilibrium time scales, and BOUT, which calculates three-dimensional plasma turbulence using experimental or UEDGE profiles. Both codes describe the plasma behavior using fluid equations. A domain decomposition model is used for parallelization by dividing the global spatial simulation region into a set of domains. This approach allows the use of a recently developed Newton-Krylov numerical solver, PVODE. Results show nearly an order of magnitude speedup in execution time for the plasma transport equations with UEDGE when the time-dependent system is integrated to steady state. A limitation that is identified for UEDGE is the inclusion of the (unmagnetized) fluid gas equations on a highly anisotropic mesh. The speedup of BOUT scales nearly linearly up to 64 processors and gets an additional speedup factor of 3–6 by using the fully implicit Newton-Krylov solver compared to an Adams predictor corrector. The turbulent transport coefficients obtained from BOUT guide the use of anomalous transport models within UEDGE, with the eventual goal of a self-consistent coupling. Homepage: https://e-reports-ext.llnl.gov/pdf/246621.pdf Keywords: parallel computation; edge plasma; plasma transport; plasma turbulence; Newton-Krylov Related Software: LSODA; MPI; ILUT; BOUT; PVODE; KINSOL Cited in: 1 Document Standard Articles 1 Publication describing the Software, including 1 Publication in zbMATH Year Application of parallel implicit methods to edge-plasma numerical simulations. Zbl 1168.76353Rognlien, T. D.; Xu, X. Q.; Hindmarsh, A. C. 2002 Cited by 2 Authors 1 Hindmarsh, Alan C. 1 Rognlien, Thomas D. Cited in 1 Serial 1 Journal of Computational Physics Cited in 3 Fields 1 Numerical analysis (65-XX) 1 Fluid mechanics (76-XX) 1 Statistical mechanics, structure of matter (82-XX) Citations by Year