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Title: Stochastic PArallel Rarefied-gas Time-accurate Analyzer.


Abstract not provided.

Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
Report Number(s):
DOE Contract Number:
Resource Type:
Resource Relation:
Conference: Proposed for presentation at the Kt project meeting held April 22, 2015 in Albuquerque, NM.
Country of Publication:
United States

Citation Formats

Gallis, Michail A. Stochastic PArallel Rarefied-gas Time-accurate Analyzer.. United States: N. p., 2015. Web.
Gallis, Michail A. Stochastic PArallel Rarefied-gas Time-accurate Analyzer.. United States.
Gallis, Michail A. 2015. "Stochastic PArallel Rarefied-gas Time-accurate Analyzer.". United States. doi:.
title = {Stochastic PArallel Rarefied-gas Time-accurate Analyzer.},
author = {Gallis, Michail A.},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = 2015,
month = 4

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  • The SPARTA package is software for simulating low-density fluids via the Direct Simulation Monte Carlo (DSMC) method, which is a particle-based method for tracking particle trajectories and collisions as a model of a multi-species gas. The main component of SPARTA is a simulation code which allows the user to specify a simulation domain, populate it with particles, embed triangulated surfaces as boundary conditions for the flow, overlay a grid for finding pairs of collision partners, and evolve the system in time via explicit timestepping. The package also includes various pre- and post-processing tools, useful for setting up simulations and analyzingmore » the results. The simulation code runs either in serial on a single processor or desktop machine, or can be run in parallel using the MPI message-passing library, to enable faster performance on large problems.« less
  • This paper describes a method for doing direct simulation Monte Carlo (DSMC) calculations using parallel processing and presents some results of applying the method to several hypersonic, rarefied flow problems. The performance and efficiency of the parallel method are discussed. The applications described are the flow in a channel and the flow about a flat plate at incidence. The results show significant advantages of parallel processing over conventional scalar processing and demonstrate the scalability of the method to large problems. 8 refs.
  • No abstract prepared.