Reducing the Impact of I/O Contention in Numerical Weather Prediction Workflows at Scale Using DAOS

Nicolau Manubens Gil^*, Simon Smart, Emanuele Danovaro, Tiago Quintino, William Adrian Jackson

^*Corresponding author for this work

Research output: Contribution to conference › Paper › peer-review

Original language	English
Pages	1-12
DOIs	https://doi.org/10.1145/3659914.3659926
Publication status	Published - 3 Jun 2024
Event	The Platform for Advanced Scientific Computing (PASC) Conference - ETH Zurich, Main Building, Rämistrasse 101, Zurich, Switzerland Duration: 3 Jun 2024 → 5 Jun 2024 https://pasc24.pasc-conference.org/

Conference	The Platform for Advanced Scientific Computing (PASC) Conference
Abbreviated title	PASC24
Country/Territory	Switzerland
City	Zurich
Period	3/06/24 → 5/06/24
Internet address	https://pasc24.pasc-conference.org/

Access to Document

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doi = "10.1145/3659914.3659926",

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T1 - Reducing the Impact of I/O Contention in Numerical Weather Prediction Workflows at Scale Using DAOS

AU - Manubens Gil, Nicolau

AU - Smart, Simon

AU - Danovaro, Emanuele

AU - Quintino, Tiago

AU - Jackson, William Adrian

PY - 2024/6/3

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DO - 10.1145/3659914.3659926

M3 - Paper

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EP - 12

T2 - The Platform for Advanced Scientific Computing (PASC) Conference

Y2 - 3 June 2024 through 5 June 2024

ER -