Towards performance portability in the Spark astrophysical magnetohydrodynamics solver in the Flash-X simulation framework

Couch, Sean M.; Carlson, Joe; Pajkos, Michael A.; O’Shea, Brian W.; Dubey, Anshu; Klosterman, Tom

doi:10.1016/j.parco.2021.102830

Cited by 8 publications

(6 citation statements)

References 13 publications

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“…We employ the FLASH simulation framework for our 3D stellar hydrodynamic model and utilize the Spark hydrodynamics solver (Fryxell et al 2000;Couch et al 2021). The Spark hydrodynamic solver uses the weighted essentially non-oscillatory method (Shu 2009) fifth-order solver (WENO-5) for spatial reconstruction, a second-order strong stability preserving Runge-Kutta time integrator and an HLLC approximate Riemann solver.…”

Section: Computational Methods and Initial Modelmentioning

confidence: 99%

The Three-Dimensional Collapse of a Rapidly Rotating 16 $M_{\odot}$ Star

Fields

2021

Preprint

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We report on the three-dimensional (3D) hydrodynamic evolution to iron core-collapse of a rapidly rotating 16 M star. For the first time, we follow the 3D evolution of the angular momentum (AM) distribution in the iron core and convective shell burning regions for the final 10 minutes up to and including gravitational instability and core-collapse. In 3D, we find that convective regions show efficient AM transport that leads to an AM profile that differs in shape and magnitude from MESA within a few shell convective turnover timescales. For different progenitor models, such as those with tightly coupled Si/O convective shells, efficient AM transport in 3D simulations could lead to a significantly different AM distribution in the stellar interior affecting estimates of the natal neutron star or black hole spin. Our results suggest that 3D AM transport in convective and rotating shell burning regions are critical components in models of massive stars and could qualitatively alter the explosion outcome and inferred compact remnant properties.

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Section: Computational Methods and Initial Modelmentioning

confidence: 99%

The Three-Dimensional Collapse of a Rapidly Rotating 16 $M_{\odot}$ Star

Fields

2021

Preprint

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“…In addition to the new architecture, Flash-X has newer and higher-fidelity physics solvers. Most notable among these are Spark [4] for magnetohydrodynamics, XNet [5,6] for nuclear burning, thornado [7,8] for neutrino radiation transport, and Weak-Lib [9][10][11] for tabulated microphysics. Additionally, Flash-X can support multiphase flow through a level-set method, which did not exist in FLASH releases [12].…”

Section: Motivation and Significancementioning

confidence: 99%

“…However, it is possible to configure applications that completely bypass those solvers. Magnetohydrodynamics and Hydrodynamics: a compressible magnetohydrodynamics/hydrodynamics solver with second-or third-order strong stability preserving (SSP) Runge-Kutta (RK) time integration (Spark) [4], another compressible hydrodynamics solver with a predictor-corrector formulation [22,23], and an incompressible hydrodynamics solver with fluidstructure interaction [24] are included in the distribution. All of the solvers can be used in 1-, 2-, or 3-dimensional configurations.…”

Section: Software Functionalitiesmentioning

confidence: 99%

“…Flash-X is designed to fill this gap and become a reliable multiphysics simulation code for the communities that earlier relied on FLASH. At least two major communities of FLASH users, stellar astrophysics [4,33] and fluid-structure interactions [12], are already transitioning to Flash-X, with some users now exclusively using Flash-X. These use cases have also reported on performance gains with the use of GPUs.…”

Section: Impactmentioning

confidence: 99%

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Flash-X: A multiphysics simulation software instrument

et al. 2022

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“…Below we describe the general method implemented in Spark for solving the MHD equations and our approach for parallelization. For a detailed description of Spark, we refer the reader to Couch (2020).…”

Section: Physics Modulesmentioning

confidence: 99%

Exascale models of stellar explosions: Quintessential multi-physics simulation

Harris

Chu

Couch

et al. 2021

The International Journal of High Performance Computing Applica

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The ExaStar project aims to deliver an efficient, versatile, and portable software ecosystem for multi-physics astrophysics simulations run on exascale machines. The code suite is a component-based multi-physics toolkit, built on the capabilities of current simulation codes (in particular Flash-X and Castro), and based on the massively parallel adaptive mesh refinement framework AMReX. It includes modules for hydrodynamics, advanced radiation transport, thermonuclear kinetics, and nuclear microphysics. The code will reach exascale efficiency by building upon current multi- and many-core packages integrated into an orchestration system that uses a combination of configuration tools, code translators, and a domain-specific asynchronous runtime to manage performance across a range of platform architectures. The target science includes multi-physics simulations of astrophysical explosions (such as supernovae and neutron star mergers) to understand the cosmic origin of the elements and the fundamental physics of matter and neutrinos under extreme conditions.

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Towards performance portability in the Spark astrophysical magnetohydrodynamics solver in the Flash-X simulation framework

Cited by 8 publications

References 13 publications

The Three-Dimensional Collapse of a Rapidly Rotating 16 $M_{\odot}$ Star

The Three-Dimensional Collapse of a Rapidly Rotating 16 $M_{\odot}$ Star

Flash-X: A multiphysics simulation software instrument

Exascale models of stellar explosions: Quintessential multi-physics simulation

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