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  Scaling and optimizing the Gysela code on a cluster of many-core processors

Latu, G., Asahi, Y., Bigot, J., Feher, T., & Grandgirard, V. (2019). Scaling and optimizing the Gysela code on a cluster of many-core processors. In 2018 30th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD) (pp. 466-473). New York, NY: IEEE. doi:10.1109/CAHPC.2018.8645933.

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latu_scaling.pdf (Supplementary material), 159KB
 
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https://doi.org/10.1109/CAHPC.2018.8645933 (Publisher version)
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 Creators:
Latu, G.1, Author
Asahi, Y.1, Author
Bigot, J.1, Author
Feher, T.2, Author              
Grandgirard, V.1, Author
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1External Organizations, ou_persistent22              
2Numerical Methods in Plasma Physics (NMPP), Max Planck Institute for Plasma Physics, Max Planck Society, ou_1856344              

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Language(s): eng - English
 Dates: 2019
 Publication Status: Published online
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1109/CAHPC.2018.8645933
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Title: 30th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD 2018)
Place of Event: Lyon
Start-/End Date: 2018-09-24 - 2018-09-27

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Title: 2018 30th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)
Source Genre: Proceedings
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Publ. Info: New York, NY : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 466 - 473 Identifier: -