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ZENODO
Dataset . 2017
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2017
License: CC BY
Data sources: ZENODO
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In-Memory Integration Of Existing Software Components For Parallel Adaptive Unstructured Mesh Workflows: Phasta 3D Dam Break

Authors: Cameron W. Smith; Kenneth E. Jansen;

In-Memory Integration Of Existing Software Components For Parallel Adaptive Unstructured Mesh Workflows: Phasta 3D Dam Break

Abstract

This research was supported by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research, under awards DE-SC00066117 (FASTMath SciDAC Institute) and DE-SC0014609 (Community Project for Accelerator Science and Simulation-3). An award of computer time was provided by the Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program and a separate award of computer time by the Theta Early Science program. This research used resources of the Argonne Leadership Computing Facility, which is a DOE Office of Science User Facility supported under Contract DE-AC02-06CH11357.

Input mesh, solution field, configuration files, and job scripts for running the adaptive PHASTA-Chef 3D dam break case. Data stream, POSIX file, and ramdisk results are also included. The python scripts used to generate the bandwidth and open/close time plots are included.

Related Organizations
Keywords

unstructured mesh, adaptation, streaming, in-memory, CFD, multi-phase

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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