Bulletin of the American Physical Society
2023 APS March Meeting
Volume 68, Number 3
Las Vegas, Nevada (March 5-10)
Virtual (March 20-22); Time Zone: Pacific Time
Session K60: Extreme Scale Computational Science Discovery in Fluid Dynamics and Related Disciplines II
3:00 PM–6:00 PM,
Tuesday, March 7, 2023
Room: Room 419
Sponsoring
Unit:
DCOMP
Chair: Daniel Livescu, LANL; Pui-Kuen Yeung, Georgia Institute of Technology
Abstract: K60.00001 : Invited Talk: Kenneth Jansen*
3:00 PM–3:36 PM
Presenter:
Kenneth E Jansen
(University of Colorado, Boulder)
Authors:
Kenneth E Jansen
(University of Colorado, Boulder)
Jed Brown
(University of Colorado Boulder)
John A Evans
(University of Colorado Boulder)
Riccardo Balin
(Argonne National Laboratory)
James R Wright
(University of Colorado)
Leila Ghaffari
(University of Colorado Boulder)
Collaborations:
libCEED, PHASTA
While exponents on the Reynolds numbers are important, larger machines have also allowed expansion of geometric and flow complexity. In this talk, we will discuss the development of finite element methods for application to scale-resolving simulations on extreme scale computational resources. The methods developed provide very low dissipation and higher order accurate discretizations. Their ability to use unstructured grids to match grid resolution to the local needs of the scale resolving simulation makes them particularly attractive and efficient for complex geometry flows and more fundamental flows with a large spatial variation in the smallest required scale that must be resolved. The talk also provides a contrast of classical and newer approaches to equation formation, assembly, and solution that accounts for emerging hardware.
It is important to note that getting the solver to scale well and make efficient use of the emerging hardware is only one of the challenges of extreme scale computing. Other significant challenges addressed in this talk include preparing the inputs for simulations at this scale (pre-processing) and extracting meaningful insight from the massive spatial-temporal data stream that a peta and soon exascale turbulence simulation produces. Insight extraction in the classical sense, writing data to files, becomes challenging due the relatively slow growth of I/O resources relative to computational resources which motivates development of in situ data analytics and compression techniques. This talk will discuss the general and specific challenges that have been addressed for unstructured grids in this area and will close with demonstrations.
*DOE NASA
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