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ZENODO
Other literature type . 2022
License: CC BY
Data sources: ZENODO
ZENODO
Presentation . 2022
License: CC BY
Data sources: Datacite
ZENODO
Presentation . 2022
License: CC BY
Data sources: Datacite
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Hardware Code Generation Techniques for Accelerating Python

descriptionPublicationkeyboard_double_arrow_right Presentation , Other literature type 15 Jun 2022 English Publisher:Zenodo
Authors: Morgan, Joanna Piper; Todd S. Palmer; Kyle E. Niemeyer;

doi: 10.5281/zenodo.6646833 , 10.5281/zenodo.6646832

Hardware Code Generation Techniques for Accelerating Python

Abstract

Presentation to the ANS annual meeting about acceleration techniques within Python for exascale for transient monte-carlo neutronics This work was supported by the Center for Exascale Monte-Carlo Neutron Transport (CEMeNT) a PSAAP-III project funded by the Department of Energy, grant number: DE-NA003967.

Has an associated ANS transaction

Related Organizations
Keywords

Neutronics, Monte-Carlo, Numba, Python

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selected citations
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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).
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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.
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).
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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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