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UID:pretalx-devconf-cz-2025-XMNEXJ@pretalx.devconf.info
DTSTART;TZID=CET:20250613T105500
DTEND;TZID=CET:20250613T111000
DESCRIPTION:Processing astronomical data is becoming increasingly difficult
  as datasets grow to terabyte scale. Traditional methods require manual se
 lection of processing tools and significant computational resources\, maki
 ng analysis slow and inefficient. Researchers need a more scalable\, autom
 ated approach to handle diverse data formats and extract scientific insigh
 ts faster.\nAC3\, a Horizon Europe open-source initiative\, addresses this
  challenge by automating the integration and execution of multiple data pr
 ocessing applications. Instead of manually selecting tools\, AC3 automatic
 ally chooses the best application such as Starlight\, PPXF\, or Steckmap b
 ased on the type of data received. These applications are containerised an
 d deployed across cloud and edge environments\, ensuring efficient resourc
 e use and reliable performance at scale. With automated provisioning\, orc
 hestration\, and workload management\, AC3 optimises processing time while
  reducing computational overhead.\nAC3 is already being tested with real a
 stronomical datasets from observatories like Roque de los Muchachos in col
 laboration with the University of Madrid. By simplifying large-scale data 
 processing\, AC3 makes it easier for scientists to analyse data more quick
 ly and efficiently.\nJoin us in Brno to explore how AC3 is transforming as
 tronomy data processing and shaping the future of AI-driven cloud-edge inf
 rastructures.
DTSTAMP:20260816T003742Z
LOCATION:A113 (capacity 64)
SUMMARY:Processing TBs of Astronomy Data at Scale with the AC3 Horizon Rese
 arch Project - Ben Capper\, Kateryna Romashko
URL:https://pretalx.devconf.info/devconf-cz-2025/talk/XMNEXJ/
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