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Title: Exploring Communication Options with Adaptive Mesh Refinement.


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 SIAM Conference on Computational Science and Engineering held March 14-18, 2015 in Salt Lake City, UT.
Country of Publication:
United States

Citation Formats

Vaughan, Courtenay T., and Barrett, Richard Frederick. Exploring Communication Options with Adaptive Mesh Refinement.. United States: N. p., 2015. Web.
Vaughan, Courtenay T., & Barrett, Richard Frederick. Exploring Communication Options with Adaptive Mesh Refinement.. United States.
Vaughan, Courtenay T., and Barrett, Richard Frederick. 2015. "Exploring Communication Options with Adaptive Mesh Refinement.". United States. doi:.
title = {Exploring Communication Options with Adaptive Mesh Refinement.},
author = {Vaughan, Courtenay T. and Barrett, Richard Frederick},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = 2015,
month = 3

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  • Abstract not provided.
  • We carry out adaptive mesh refinement cosmological simulations of Milky Way mass halos in order to investigate the formation of disk-like galaxies in a {Lambda}-dominated cold dark matter model. We evolve a suite of five halos to z = 0 and find a gas disk formation in each; however, in agreement with previous smoothed particle hydrodynamics simulations (that did not include a subgrid feedback model), the rotation curves of all halos are centrally peaked due to a massive spheroidal component. Our standard model includes radiative cooling and star formation, but no feedback. We further investigate this angular momentum problem bymore » systematically modifying various simulation parameters including: (1) spatial resolution, ranging from 1700 to 212 pc; (2) an additional pressure component to ensure that the Jeans length is always resolved; (3) low star formation efficiency, going down to 0.1%; (4) fixed physical resolution as opposed to comoving resolution; (5) a supernova feedback model that injects thermal energy to the local cell; and (6) a subgrid feedback model which suppresses cooling in the immediate vicinity of a star formation event. Of all of these, we find that only the last (cooling suppression) has any impact on the massive spheroidal component. In particular, a simulation with cooling suppression and feedback results in a rotation curve that, while still peaked, is considerably reduced from our standard runs.« less
  • We present adaptive multiresolution (MR) computations of the two-dimensional compressible Euler equations for a classical Riemann problem. The results are then compared with respect to accuracy and computational efficiency, in terms of CPU time and memory requirements, with the corresponding finite volume scheme on a regular grid. For the same test-case, we also perform computations using adaptive mesh refinement (AMR) imposing similar accuracy requirements. The results thus obtained are compared in terms of computational overhead and compression of the computational grid, using in addition either local or global time stepping strategies. We preliminarily conclude that the multiresolution techniques yield improvedmore » memory compression and gain in CPU time with respect to the adaptive mesh refinement method.« less
  • The nodal integral method (NIM) has been developed for several problems, including the Navier-Stokes equations, the convection-diffusion equation, and the multigroup neutron diffusion equations. The coarse-mesh efficiency of the NIM is not fully realized in problems characterized by a wide range of spatial scales; however, the combination of adaptive mesh refinement (AMR) capability with the NIM can recover the coarse-mesh efficiency by allowing high degrees of resolution in specific localized areas where it is needed and using a lower resolution everywhere else. Furthermore, certain features of the NIM can be fruitfully exploited in the application of the AMR process. Here,more » a general approach to couple nodal schemes with AMR is outlined and then applied to the convection-diffusion (energy) equation. For the recirculating flow problem studied, the total number of nodes required by the NIM-AMR to yield approximately the same level of accuracy is a factor of 6 smaller than the total number of nodes required by the NIM without AMR. These results show that, for problems characterized by a range of spatial scales, the nodal efficiency can be recovered by coupling the nodal method with adaptive mesh refinement capability.« less
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