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DTSTAMP:20250822T115805Z
LOCATION:Room 5.0A52
DTSTART;TZID=Europe/Stockholm:20250617T113000
DTEND;TZID=Europe/Stockholm:20250617T120000
UID:submissions.pasc-conference.org_PASC25_sess146_msa153@linklings.com
SUMMARY:Energy Cost of Supercomputing: Minimizing Energy Consumption in Pa
 rticle Simulations
DESCRIPTION:Manish Mishra, Fabio Gratl, Samuel Newcome, Markus Mühlhäusser
 , Jonas Schuhmacher, and Hans-Joachim Bungartz (Technical University of Mu
 nich)\n\nIn recent years, high-performance computing (HPC) systems have ex
 perienced exponential growth in performance that has outpaced the improvem
 ents in energy efficiency. While this progress has significantly advanced 
 many scientific fields, like drug discovery, fusion reactor modeling, and 
 climate research, it has also led to substantial energy consumption, contr
 ibuting to significant carbon dioxide emissions. Addressing this environme
 ntal impact is essential to align HPC development with Sustainable Develop
 ment Goals (SDGs), particularly those focusing on responsible consumption 
 . This study explores energy consumption in particle simulations, with exa
 mples from applications in Molecular Dynamics (MD). The analysis highlight
 s challenges in optimizing energy efficiency across hardware and for many 
 different simulation scenarios. A solution to tackle these challenges is p
 resented in the form of AutoPas, a particle simulation library that dynami
 cally selects the optimum algorithm to minimize runtime or energy use. Som
 e strategies to improve energy efficiency include reducing memory-intensiv
 e algorithms, leveraging low-level parallelism, etc. are discussed, and ex
 amples from MD simulations are presented. This talk advocates for the impo
 rtance of sustainable approaches in HPC development, that is to mitigate e
 nvironmental impacts of computing while still ensuring the much needed pro
 gress in science and in turn, to improving human lives.\n\nDomain: Climate
 , Weather, and Earth Sciences, Applied Social Sciences and Humanities, Eng
 ineering, Physics, Computational Methods and Applied Mathematics\n\nSessio
 n Chair: Peter Vincent (Imperial College London)\n\n
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