THE PASC24 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 3 to 5, 2024 at the ETH Zurich, Main Building, Switzerland.
June 3 to 5, 2024
ETH Zurich, Main Building, Rämistrasse 101, Switzerland
Synthesizing Applications Through Learning and Computing
The next big scientific impacts will unfold as scientific communities transcend domain boundaries to tackle interesting multidisciplinary questions. To deliver on these challenges, there is a pressing need for connected learning and computing paradigms that deliver insightful and explainable solutions. Designing novel and combined computing, learning, AI, and HPC paradigms is essential to address grand challenges at the intersection of multiple scientific domains; whether it is the impact of climate change on energy resources and food production, the economic consequences of pandemics, or the development of novel materials to build new computing platforms. The theme for PASC24 focuses on the grand challenge of combining physics-based simulations with novel machine learning and AI based methods to address interdisciplinary problems in science.
Oak Ridge National Laboratory, USA
Katherine J. Evans is the Division Director for the Computational Sciences and Engineering Division at Oak Ridge National Laboratory (ORNL). She is also an active researcher in the areas of Earth system model (ESM) evaluation, developing and implementing scalable numerical algorithms to improve the efficiency and accuracy for multi-scale configurations of ESM, and analysis of large-scale persistent weather patterns in global atmospheric models. As part of her numerical methods research with ESM, she also makes connections to other applications, including ice sheets, more general fluid flow, disease propagation, and oncology. Evans earned her PhD in Earth and Atmospheric Sciences with an emphasis in math from the Georgia Institute of Technology in 2000 and led the Computational Earth Sciences group at ORNL for 6 years before her current role. She is a member of the American Meteorological Society, American Geophysical Union, and the Society of Industrial and Applied Mathematicians.
ETH Zurich, Switzerland
Siddhartha Mishra is a Professor for Computational and Applied Mathematics at ETH Zurich and a core faculty member of ETH AI Center. Mishra’s research interests are in numerical analysis, scientific computing, nonlinear PDEs, machine learning, high-performance computing and applications to physics and engineering. Mishra’s research has been recognized with many awards and honors including the ERC Starting Grant (2012), ERC Consolidator Grant (2017), GAMM Richard Von Mises Prize (2015), ECCOMASS Jacques Louis Lions Medal (2018), ICIAM Collatz Prize (2019) , INFOSYS prize in Mathematical Science (2019) and SIAM Germund Dahlquist Prize (2021). He has been an invited speaker at many leading international conferences including the International Congress of Mathematicians (ICM), Rio De Janiero, 2018.