Bulletin of the American Physical Society
2024 APS April Meeting
Wednesday–Saturday, April 3–6, 2024; Sacramento & Virtual
Session E00: Poster Session I & Welcome Reception (5:30PM - 7:30PM PT)
5:30 PM,
Wednesday, April 3, 2024
SAFE Credit Union Convention Center
Room: Exhibit Hall A, Floor 1
Sponsoring
Unit:
APS
Abstract: E00.00041 : Flash-X, a composable and configurable software system for supernova simulations at extreme scales*
Presenter:
Anshu Dubey
(Argonne National Laboratory)
Author:
Anshu Dubey
(Argonne National Laboratory)
FLASH, a well recognized community code that has been in existence
from 2000. FLASH was designed only for bulk-synchronous
distributed-memory parallel model which makes it unsuitable for use on
newer platforms with accelerators. Flash-X has a fundamentally
redesigned architecture that uses abstractions and asynchronous
operations for portability across a variety of platforms, both with
and without accelerators. The design relies upon self-describing code
components that can be used to synthesize application instances. The
synthesis is done with a combination of assembly, code translation and
code generation. Accompanying tools for code translation and runtime
management are new and enable orchestration of computation and data
movement between distinct compute devices on a node.
In addition to the new architecture, Flash-X has newer and/or
higher-fidelity physics solvers for reactive magnetohydrodynamics,
nuclear burning, neutrino radiation transport, and other
microphysics. Flash-X was used to showcase the key performance
parameters of ExaStar a project under the Exascale Computing Project,
through a core-collapse supernova (CCSN) simulation on Frontier. This
poster describes the architecture and capabilities of Flash-X that are
relevant for various astrophysics applications.
*This research was supported by the Exascale Computing Project(17-SC-20-SC), a collaborative effort of two U.S. Department of Energyorganizations (Office of Science and the National Nuclear SecurityAdministration) that are responsible for the planning and preparationof a capable exascale ecosystem, including software, applications,hardware, advanced system engineering, and early testbed platforms, insupport of the nation's exascale computing imperative.
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