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DTSTAMP:20210916T132452Z
LOCATION:Lise Girardin
DTSTART;TZID=Europe/Stockholm:20210707T153000
DTEND;TZID=Europe/Stockholm:20210707T160000
UID:submissions.pasc-conference.org_PASC21_sess149_msa113@linklings.com
SUMMARY:Data Locality and Movement Issues in Extreme-Scale Radiation-Hydro
 dynamic Simulations of Supernovae and Neutron Star Mergers
DESCRIPTION:Minisymposium\n\nData Locality and Movement Issues in Extreme-
 Scale Radiation-Hydrodynamic Simulations of Supernovae and Neutron Star Me
 rgers\n\nMesser, Couch\n\nThe panoply of physics that must be evolved in p
 redictive simulations of core-collapse supernovae and neutron star mergers
  lead to marked  requirements for effective strategies for data place
 ment and movement. Load balancing for adaptive mesh refinement and data pl
 acement for GPU-accelerated physics kernels are among the most acute examp
 les of these drivers. ExaStar is an application development project within
  DOE's Exascale Computing Project (ECP). ExaStar is working to deliver an 
 efficient, versatile, and portable code suite for multi-physics astrophysi
 cs simulations run on exascale machines. The project builds on the capabil
 ities of current simulation codes (including FLASH and Castro), is based o
 n the adaptive mesh refinement framework AMReX, and includes modules for h
 ydrodynamics, spectral radiation (neutrino) transport, nuclear reactions, 
 and other microphysics. This presentation will outline recent progress tow
 ards understanding and effectively handling data movement and placement fo
 r ExaStar and how these strategies will help to ensure a performant exasca
 le code base to answer questions in nuclear astrophysics, such as the cosm
 ic origin of the elements, the behavior of matter and neutrinos at extreme
  densities, the structure and evolution of compact objects, and the source
 s of gravitational waves.\n\nDomain: CS and Math, Physics
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