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PASC23 Event Platform
Personal login credentials have been sent to all registered participants after completing registration in an email with subject line: “PASC23 Conference registration” (email from email@example.com). Your login username is the email used to register for the conference.
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THE PASC23 CONFERENCE
The Platform for Advanced Scientific Computing (PASC) Conference, co-sponsored by the Association for Computing Machinery (ACM) and the Swiss National Supercomputing Centre (CSCS), will be held from June 26 to 28, 2023 at the Congress Center Davos, located in Davos, Switzerland.
June 26 to 28, 2023
Congresscenter Davos, Switzerland
Computing Across Scales, Domains, and Communities Advances at the frontiers of scientific computing increasingly require aggregating and synthesizing previously distinct sources of technique and insight to improve the fidelity, effectiveness, efficiency, and usefulness of scientific results. The theme for PASC23 focuses particularly on advances in aggregating, synthesizing, and transitioning across scales, domains, and communities.
Multi-scale methods, operating on the basis of physics, data, or their hybridization, enable higher fidelity predictive capabilities, especially for complex phenomena with emergent behavior. Aggregating and synthesizing approaches from multiple domains, including techniques from modeling & simulation and data-driven disciplines are essential to improving the quality of our results and their computational feasibility. Integrating activities and teams across distinct communities has also become essential, up to and including expertise in the social and cognitive sciences that can improve how scientific teams develop and use computational tools for research and communicate results to the broader public.
ETH Zurich, Switzerland
Eleni Chatzi is an Associate Professor and Chair of Structural Mechanics and Monitoring at the Department of Civil, Environmental and Geomatic Engineering of ETH Zürich. She works in the domain of Structural Health Monitoring (SHM) and data-driven decision support for engineered systems. She is an author of over 300 papers in the domain of dynamics and SHM and further serves as an editor for international journals in the field. She led the recently completed ERC Starting Grant WINDMIL on the topic of Smart Monitoring for wind energy infrastructure. Her work in the domain of self-aware infrastructure was recognized with the 2020 Walter L. Huber Research prize.
Sandia National Laboratories, US
Mike Heroux is a Senior Scientist at Sandia National Labs, Director of Software Technology for the US DOE Exascale Computing Project (ECP), and Scientist in Residence at St. John’s University, MN. His research interests include all aspects of scalable scientific and engineering software for new and emerging parallel computing architectures. Mike founded the Trilinos, Kokkos, Mantevo, HPCG Benchmark, and Extreme-scale Scientific Software Stack (E4S) projects. Mike works in software productivity and sustainability efforts for DOE and NSF, and reproducibility initiatives for scientific publications with ACM and IEEE. He is a SIAM Fellow, ACM Distinguished Scientist, and IEEE Senior Member.