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UID:submissions.supercomputing.org_SC24_sess534_post215@linklings.com
SUMMARY:Computational Radiation Hydrodynamics with FleCSI
DESCRIPTION:Mammadbaghir Baghirzade (The University of Texas at Austin; CC
 S-7, Los Alamos National Laboratory); Md Shihab Shahriar Khan (Michigan St
 ate University; CCS-7, Los Alamos National Laboratory); Yoonsoo Kim (Calif
 ornia Institute of Technology; CCS-7, Los Alamos National Laboratory); Sud
 arshan Neopane (University of Tennessee, Knoxville; CCS-7, Los Alamos Nati
 onal Laboratory); Alexander Strack (University of Stuttgart, Germany; CCS-
 7, Los Alamos National Laboratory); Farhana Taiyebah (Florida State Univer
 sity; CCS-7, Los Alamos National Laboratory); and Julien Loiseau and Hyun 
 Lim (Los Alamos National Laboratory (LANL))\n\nPhotons are essential in ma
 ny matter-light interaction systems, with applications in physics (e.g., c
 ore-collapse supernovae) and engineering (e.g., neutron transport). Althou
 gh the theory of radiating fluids has been established since the 1980s, de
 veloping robust and efficient numerical simulations remains an active rese
 arch area. \n\nUsing the FleCSI framework, we developed a radiation hydrod
 ynamics code called HARD (Hydrodynamics And Radiative Diffusion), which is
  scalable and portable across various HPC architectures and computing syst
 ems. FleCSI provides us with a task-based parallelism framework supported 
 by different backends such as MPI, HPX, and Legion. The on-node parallelis
 m is then handled through Kokkos targeting CPU and GPU architectures. \n\n
 This poster presents both our achievements in the physics implementation a
 nd its adaptation to the task-based model, and also the benchmark of the d
 ifferent backends using FleCSI on Los Alamos National Laboratory supercomp
 uters.\n\nRegistration Category: Tech Program Reg Pass, Exhibits Reg Pass\
 n\nSession Chairs: Ayesha Afzal (Friedrich-Alexander University, Erlangen-
 Nuremberg; Erlangen National High Performance Computing Center); Sally Ell
 ingson (University of Kentucky); and Alan Sussman (University of Maryland)
 \n\n
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