Abstract:
In the end, the goal of the Exascale Computing Project (ECP) (and scientific computing in general) is scientific discovery. Computational modeling and simulation form a new(ish) third leg of science (along with theory and experimentation) which holds the promise of discovery and understanding at a scope and pace unparalleled in human history. In this GAG, we’ll look at the scientific applications which drive ECP as a way to understand and approach the various activities in ECP and in the ECP annual meeting we’ll be attending.
Short Biography:
Dan Martin is the area lead for Earth and Space Science Application Development in ECP. Dan earned his bachelors in Mechanical Engineering at the University of Florida and his PhD from the University of California at Berkeley. He joined the Applied Numerical Algorithms Group at Lawrence Berkeley Laboratory as a postdoc, and is now the group lead. His research interests include developing adaptive mesh refinement algorithms and software for applications ranging from ice sheets in climate modeling to fusion in tokamaks.
Motivation:
I remember attending my first conferences as a new graduate student and being completely lost and intimidated. GAGs are a great way to have a “guided tour” of sorts of a meeting which can be overwhelming otherwise. I’ve served as a GAG leader in 3 SIAM CSE conferences. Meeting students and helping them find their way in these meetings has always been a highlight, particularly in the virtual conference environment.