With the gradual establishment of computational science as the “third pillar of science” over the last few decades, it has been steadily moving from a supporting towards a leading role. HPC applications – usually based on numerically solving sets of ODEs or PDEs – are increasingly expected to supplement a test-based approach, helping to establish a truly predictive computational science. With pre-exascale simulations involving and producing ever-increasing amounts of data, also from experiments or observations, there exist various critical open questions at the interface of extreme-scale data handling and HPC, including the following:
These (and related) challenges and opportunities affect a wide range of scientific communities, from plasma physics and materials science to medicine and the geosciences, and will be discussed in an interdisciplinary fashion at this workshop.
This workshop focuses on applications that are typically driven by ODEs and PDEs. It complements the third workshop in this long program which focuses on applications that are typically data driven.
This workshop will include a poster session; a request for posters will be sent to registered participants in advance of the workshop.
(AMGEN Inc, Research & Development Informatics)
George Biros (University of Texas at Austin)
Claudia Draxl (Humboldt-Universität)
Frank Jenko (University of California, Los Angeles (UCLA), Physics and Astronomy)
Klaus-Robert Müller (Technische Universität Berlin)