Theses and Dissertations
Issuing Body
Mississippi State University
Advisor
Novotny, Mark A.
Committee Member
Monts, David L.
Committee Member
Lestrade, John P.
Committee Member
Kim, Seong-Gon
Date of Degree
5-8-2004
Document Type
Graduate Thesis - Open Access
Major
Physics
Degree Name
Master of Science
College
College of Arts and Sciences
Department
Department of Physics and Astronomy
Abstract
The asymptotic scaling properties of conservative algorithms for parallel discrete-event simulations (e.g.: for spatially distributed parallel simulations of dynamic Monte Carlo for spin systems) of one-dimensional systems with system size $L$ is studied. The particular case studied here is the case of one or two elements assigned to each processor element. The previously studied case of one element per processor is reviewed, and the two elements per processor case is presented. The key concept is a simulated time horizon which is an evolving non equilibrium surface, specific for the particular algorithm. It is shown that the flat-substrate initial condition is responsible for the existence of an initial non-scaling regime. Various methods to deal with this non-scaling regime are documented, both the final successful method and unsuccessful attempts. The width of this time horizon relates to desynchronization in the system of processors. Universal properties of the conservative time horizon are derived by constructing a distribution of the interface width at saturation.
URI
https://hdl.handle.net/11668/20633
Recommended Citation
Verma, Poonam Santosh, "Large Scale Computer Investigations of Non-Equilibrium Surface Growth for Surfaces from Parallel Discrete Event Simulations" (2004). Theses and Dissertations. 2921.
https://scholarsjunction.msstate.edu/td/2921
Comments
Utilization||Kardar-Parisi-Zhang universality||Interface width||Non-Equilibrium Surfaces||Virtual Time Horizon||Parallel Discrete Event Simulations