Title :
Parallel asynchronous hybrid simulations of strongly inhomogeneous plasmas
Author :
Omelchenko, Yuri A. ; Karimabadi, Homa
Author_Institution :
SciberQuest, Inc., Del Mar, CA, USA
Abstract :
Self-adaptive discrete-event simulation is a general paradigm for time integration of discretized partial differential equations and particle models. This novel approach enables local time steps for equations describing time evolution of grid-based elements (fluids, fields) and macro-particles on arbitrary grids while preserving underlying conservation laws. The solution-adaptive integration ensures robustness (stability) and efficiency (speed) of complex nonlinear simulations. Using this technique we achieved a breakthrough in simulations of multiscale plasma systems. A new particle-in-cell simulation tool, HYPERS (Hybrid Particle Event-Resolved Simulator), which solves a set of strongly coupled Maxwell´s equations, electron fluid equations and ion particle equations of motion, is presented as the first multi-dimensional application of this technology. We discuss its parallel implementation and demonstrate first results from three-dimensional simulations of compact plasma objects that have been out of reach of conventional codes. Potential applications of the new methodology to other scientific and engineering domains are also discussed.
Keywords :
Maxwell equations; digital simulation; discrete event simulation; parallel processing; partial differential equations; physics computing; plasma simulation; 3D simulation; HYPERS; Hybrid Particle Event-Resolved Simulator; compact plasma object; complex nonlinear simulations; conservation law; discretized partial differential equations; electron fluid equation; grid-based element time evolution; ion particle equation of motion; macroparticles; multidimensional application; multiscale plasma system simulations; parallel asynchronous hybrid simulations; parallel implementation; particle models; particle-in-cell simulation tool; robustness; self-adaptive discrete-event simulation; solution-adaptive integration; stability; strongly coupled Maxwell equations; strongly inhomogeneous plasmas; time integration; Computational modeling; Equations; Fluids; Mathematical model; Numerical models; Plasmas; Synchronization;
Conference_Titel :
Simulation Conference (WSC), 2014 Winter
Conference_Location :
Savanah, GA
Print_ISBN :
978-1-4799-7484-9
DOI :
10.1109/WSC.2014.7020176