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Minisymposium Presentation

Digital Twins for Sustainability

Tuesday, June 17, 2025
12:30
-
13:00
CEST
Climate, Weather and Earth Sciences
Climate, Weather and Earth Sciences
Climate, Weather and Earth Sciences
Chemistry and Materials
Chemistry and Materials
Chemistry and Materials
Computer Science and Applied Mathematics
Computer Science and Applied Mathematics
Computer Science and Applied Mathematics
Humanities and Social Sciences
Humanities and Social Sciences
Humanities and Social Sciences
Engineering
Engineering
Engineering
Life Sciences
Life Sciences
Life Sciences
Physics
Physics
Physics

Presenter

Alfio
Lazzaro
-
HPE

Alfio Lazzaro joined the HPE HPC/AI EMEA Research Lab in October 2018 as a research engineer. He earned his Ph.D. in experimental particle physics at the University of Milan in 2007. In 2010 he joined CERN openlab with a COFUND-CERN and Marie Curie fellowship. From 2012 to 2014 he was an application analyst at Cray, based at the Swiss National Supercomputing Centre. From 2015 to 2018, he was a postdoctoral research associate at the ETH Zurich and the University of Zurich, working on the CP2K team under the Swiss PASC project. His main interests are optimization and parallelization of scientific applications.

Description

The increasing computational demand for AI has resulted in a significant increase in the amount of energy consumed by data centers. The International Energy Agency has projected that data center energy consumption could double from 2022 to 2026 and has become a major cost factor in the procurement and operation of data centers and large scale HPC data centers. While AI technologies have put significant pressure on the sustainability of IT systems and data centers, they also have tremendous promise for improving the sustainability of IT and other ecosystems. This presentation will cover research spanning efforts to improve sustainability using digital twins and AI. We’ll discuss the integration of AI in digital twins to optimize data center and system operations, to model climate change, fusion reactor design and to accelerate scientific discovery.

Authors