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DTSTART:19700308T020000
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DTSTAMP:20250822T115808Z
LOCATION:Room 5.0A52
DTSTART;TZID=Europe/Stockholm:20250618T113000
DTEND;TZID=Europe/Stockholm:20250618T130000
UID:submissions.pasc-conference.org_PASC25_sess170@linklings.com
SUMMARY:AP2A - ACM Papers Session 2A
DESCRIPTION:Performance Analysis of an Efficient Algorithm for Feature Ext
 raction from Large Scale Meteorological Data Stores\n\nIn recent years, Nu
 merical Weather Prediction (NWP) has undergone a major shift with the rapi
 d move towards kilometer-scale global weather forecasts and the emergence 
 of AI-based forecasting models. Together, these trends will contribute to 
 a significant increase in the daily data volume generated b...\n\n\nMathil
 de Leuridan (ECMWF, University of Cologne); Christopher Bradley, James Haw
 kes, and Tiago Quintino (ECMWF); and Martin Schultz (Forschungszentrum Jül
 ich, University of Cologne)\n---------------------\nASiMoV-CCS - A New Sol
 ver for Scalable and Extensible CFD & Combustion Simulations\n\nSolving in
 dustry-relevant CFD and combustion problems is computationally extremely c
 hallenging. Collaborations between industry and academia can drive researc
 h into new techniques or algorithms that improve the computational perform
 ance of solvers, however there is a tension between keeping commerci...\n\
 n\nPaul Bartholomew and Alexei Borissov (EPCC, The University of Edinburgh
 ); Christopher Goddard (Rolls-Royce Plc); Shrutee Lakshminarasimha (Infosy
 s); Sébastien Lemaire and Justs Zarins (EPCC, The University of Edinburgh)
 ; and Michèle Weiland (EPCC, The  University of Edinburgh)\n\nDomain: Clim
 ate, Weather, and Earth Sciences\n\nSession Chair: Jan Meisner (Heinrich H
 eine University Düsseldorf)
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