BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:Europe/Stockholm
X-LIC-LOCATION:Europe/Stockholm
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20250822T115808Z
LOCATION:Room 5.2D11
DTSTART;TZID=Europe/Stockholm:20250616T112000
DTEND;TZID=Europe/Stockholm:20250616T132000
UID:submissions.pasc-conference.org_PASC25_sess105@linklings.com
SUMMARY:MS1G - Sustainable Computing for Big Data Infrastructures
DESCRIPTION:The rapid growth of data in fields like astronomy, particle ph
 ysics, and genomics, alongside the rising need for large AI model training
 , poses significant sustainability challenges for big data infrastructures
 . Carbon-conscious innovation is crucial for future computing infrastructu
 res of the Square Kilometre Array Observatory (SKAO), expected to generate
  over 700 petabytes annually for the next 50 years to enable groundbreakin
 g discoveries in physics and astronomy. Similarly, effective decarbonizati
 on strategies are necessary for legacy systems, such as CERN’s Worldwide L
 HC Computing Grid (WLCG), which offers global access to over 1.5 exabytes 
 of data. This minisymposium will explore innovative strategies for designi
 ng energy-efficient hardware and optimizing software pipelines while minim
 izing environmental impact. It will feature sustainable computing research
  and solutions for infrastructures like SKAO and CERN, emphasizing real-wo
 rld examples and insights into improving sustainability metrics for big da
 ta infrastructures. Key topics will include reducing carbon footprints, en
 suring performance portability, and co-designing energy-efficient accelera
 tors for high-performance computing, all crucial for addressing the growin
 g demand for extreme-scale scientific computing. By fostering collaboratio
 n and sharing cutting-edge research, this event aims to enhance energy eff
 iciency in scientific computing, develop more sustainable high-performance
  computing infrastructures, and advance carbon-aware practices to meet the
  demands of a data-driven future.\n\nPerformance and Portability for Susta
 inable Simulations at Extreme Scales**\n\nHigh Performance Computing (HPC)
  is increasingly defined by heterogeneity, with diverse hardware architect
 ures and growing core counts per device. \nOptimizing performance and ensu
 ring code portability are not  just technical challenges but also essentia
 l components of sustainable computing. Efficien...\n\n\nFlorina Ciorba and
  Osman Simsek (University of Basel)\n---------------------\nOperational Ef
 ficiency Successes and Challenges for High Performance Computing at Los Al
 amos National Lab\n\nLos Alamos National Laboratory has experience operati
 ng advanced high performance computing facilities since the late 1950s. To
 day, the computing facilities use about 50% of the lab’s total energy and 
 31% of it’s total water. The need for efficient water and energy usage is 
 ongoing to su...\n\n\nGenna Waldvogel (Los Alamos National Laboratory)\n--
 -------------------\nCarbon Conscious Computing Infrastructure\n\nThe Worl
 dwide LHC computing Grid has been developed over the last two decades to i
 nclude more than 160 sites in over 40 countries. This infrastructure grew 
 out of technical, financial, and political considerations, and is a remark
 able achievement. However, it was also created before the necessity to...\
 n\n\nDavid Britton (University of Glasgow)\n---------------------\nPowerin
 g Big Data Algorithms with FPGAs: Sustainable Scaling in Astronomy and Gen
 omics\n\nThe increasing computational demand from big data-intensive domai
 ns such as genomics, astronomy, and artificial intelligence accelerates da
 ta center (DC) carbon emissions. This trend underscores the need for susta
 inable computing strategies balancing performance, energy efficiency, and 
 carbon reduct...\n\n\nRuben Rodriguez Alvarez, Denisa Constantinescu, Migu
 el Peon Quiros, and David Atienza Alonso (EPFL)\n\nDomain: Engineering, Li
 fe Sciences, Physics, Computational Methods and Applied Mathematics\n\nSes
 sion Chair: Denisa-Andreea Constantinescu (EPFL)
END:VEVENT
END:VCALENDAR