The PASC Conference series is an international and interdisciplinary platform for the exchange of knowledge in scientific computing and computational science with a strong focus on methods, tools, algorithms, application challenges, and novel techniques and usage of high performance computing.
The Conference is co-sponsored by the Association for Computing Machinery (ACM) and the PASC structuring project and it is managed by the Swiss National Supercomputing Centre (CSCS).
June 27-29, 2022
Congress Center Basel
Computing and Data … for all Humankind
The PASC Conference focuses on advances in methods, tools, algorithms, and applications to address challenges across all areas of computational science and engineering.
This year's conference is dedicated to advances in computing for tackling some of the biggest challenges facing humanity today: climate, pandemics and inequality. PASC22 wishes to showcase how computational and data science help in addressing these challenges. Hence the three complementary themes of emphasis for PASC22 are:
- Computing for Planet Earth
- Epidemiology and Public Health
- Data Science and Inequality
PASC22, as an interdisciplinary conference, provides an ideal platform to discuss advances in these and other high-impact areas – thereby leveraging our collective expertise in computational and data science at the service of our global community.
ETH Zurich, Switzerland / Harvard University, US
Petros Koumoutsakos is the Gordon McKay Professor for Computing in Science and Engineering and the Director of the Institute of Applied Computational Science at Harvard University. Petros is currently on leave from ETH Zurich where he holds the Chair for Computational Science since 2000. He is former chair of both PRACE Scientific Steering Committee and the Access Committee. Petros is elected Fellow of the American Society of Mechanical Engineers (ASME), the American Physical Society (APS), the Society of Industrial and Applied Mathematics (SIAM). He is recipient of the ACM Gordon Bell prize in Supercomputing and he is elected Foreign Member to the US National Academy of Engineering (NAE). His research interests are on the fundamentals and applications of computing and artificial intelligence to understand, predict and optimize fluid flows in engineering, nanotechnology, and medicine.
Lois Curfman McInnes
Argonne National Laboratory, US
Lois Curfman McInnes is an Argonne Distinguished Fellow in the Mathematics and Computer Science Division of Argonne National Laboratory. Her work focuses on high-performance computational science, with emphasis on scalable numerical libraries and community collaboration toward productive and sustainable software ecosystems. Lois serves as Deputy Director of Software Technology for the U.S. DOE Exascale Computing Project. She also co-leads the IDEAS scientific software productivity project, which focuses on improving software productivity and sustainability as a key aspect of advancing scientific productivity. Lois is a SIAM Fellow and serves on SIAM Council. Lois received the 2015 SIAM/ACM Prize in Computational Science & Engineering and a 2009 R&D 100 Award (with collaborators); she also received the E.O. Lawrence Award in 2011 for outstanding contributions in R&D supporting DOE.