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ZENODO
Dataset . 2023
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 . 2023
License: CC BY
Data sources: ZENODO
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 . 2023
License: CC BY
Data sources: Datacite
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KPP-3 Artifact for WarpX <> ALPINE: Ascent + VTK-m

Authors: Marsaglia, Nicole; Harrison, Cyrus; Larsen, Matthew; Huebl, Axel; Vay, Jean-Luc;

KPP-3 Artifact for WarpX <> ALPINE: Ascent + VTK-m

Abstract

This documents a run of WarpX with in situ visualization using Ascent and VTK-m. The simulation was run on Frontier (OLCF). ECP project ALPINE provides GPU capable C++ libraries (Conduit, Ascent, VTK-h) that can use VTK-m for rendering of multi-source, multi-camera scenes. Using Ascent and VTK-m, both a WarpX simulation and a coupled in situ visualization were run on over 500 Frontier GPUs. WarpX documentation: https://warpx.readthedocs.io Ascent documentation: https://ascent.readthedocs.io

WarpX is supported by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of two U.S. Department of Energy organizations (Office of Science and the National Nuclear Security Administration) responsible for the planning and preparation of a capable exascale ecosystem, including software, applications, hardware, advanced system engineering, and early testbed platforms, in support of the nation's exascale computing imperative.

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Keywords

in situ visualization, GPU, particle-in-cell

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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.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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