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UID:submissions.pasc-conference.org_PASC26_sess177@linklings.com
SUMMARY:AP2F - ACM Papers: Applications, Co-Design and UQ
DESCRIPTION:Access the recording\n\nastroCAMP: A Co-design Framework  for 
 Sustainable Radio-Interferometric Imaging\n\nThe Square Kilometre Array (S
 KA) will operate one of the world’s largest continuous scientific data sys
 tems, sustaining petascale imaging under strict power envelopes. Yet curre
 nt radio-interferometric pipelines typically achieve only 4–14\% of hardwa
 re peak because of memory and I/O bot...\n\n\nDenisa-Andreea Constantinesc
 u (EPFL); Rubén Rodríguez Álvarez (Embedded Systems Laboratory, EPFL); Jac
 ques Morin (Univ Rennes, INSA Rennes); Etienne Orliac (SCITAS, EPFL); Mick
 aël Dardaillon (Univ Rennes, INSA Rennes); Sunrise Wang (Université Côte d
 'Azur, Côte d'Azur Observatory); Hugo Miomandre (Univ Rennes, INSA Rennes)
 ; Miguel Peón-Quirós (EcoCloud, EPFL); Jean-François Nezan (Univ Rennes, I
 NSA Rennes); and David Atienza (Embedded Systems Laboratory, EPFL)\n------
 ---------------\nServerless Computing for Life-Critical Science: Design Pa
 tterns and Co-Design Insights from a Real-Time Earthquake Loss Alert Syste
 m\n\nUrgent scientific computing for disaster response requires both sub-m
 inute latency and constant availability, yet traditional always-on infrast
 ructure is uneconomical for rare, unpredictable events. We present a serve
 rless architecture for real-time earthquake loss estimation that achieves 
 2-minute ...\n\n\nMichel Speiser (ICES Foundation)\n---------------------\
 nSampling Parallelism for Fast and Efficient Bayesian Learning\n\nMachine 
 learning models, and deep neural networks in particular, are increasingly 
 deployed in risk-sensitive domains such as healthcare, environmental forec
 asting, and finance, where reliable quantification of predictive uncertain
 ty is essential. However, many uncertainty quantification (UQ) methods...\
 n\n\nAsena Karolin Özdemir, Lars Helge Heyen, Arvid Weyrauch, and Achim St
 reit (Karlsruhe Institute of Technology); Markus Götz (Karlsruhe Institute
  of Technology, Helmholtz AI); and Charlotte Debus (Karlsruhe Institute of
  Technology)\n\nDomain: Climate, Weather, and Earth Sciences, Computationa
 l Methods and Applied Mathematics\n\nSession Chair: Aldas Lenkšas (Politec
 nico di Milano)
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