Swift : a modern highly parallel gravity and smoothed particle hydrodynamics solver for astrophysical and cosmological applications

ABSTRACT Numerical simulations have become one of the key tools used by theorists in all the fields of astrophysics and cosmology. The development of modern tools that target the largest existing computing systems and exploit state-of-the-art numerical methods and algorithms is thus crucial. In this...

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Vydáno v:Monthly notices of the Royal Astronomical Society Ročník 530; číslo 2; s. 2378 - 2419
Hlavní autoři: Schaller, Matthieu, Borrow, Josh, Draper, Peter W, Ivkovic, Mladen, McAlpine, Stuart, Vandenbroucke, Bert, Bahé, Yannick, Chaikin, Evgenii, Chalk, Aidan B G, Chan, Tsang Keung, Correa, Camila, van Daalen, Marcel, Elbers, Willem, Gonnet, Pedro, Hausammann, Loïc, Helly, John, Huško, Filip, Kegerreis, Jacob A, Nobels, Folkert S J, Ploeckinger, Sylvia, Revaz, Yves, Roper, William J, Ruiz-Bonilla, Sergio, Sandnes, Thomas D, Uyttenhove, Yolan, Willis, James S, Xiang, Zhen
Médium: Journal Article
Jazyk:angličtina
Vydáno: London Oxford University Press 01.05.2024
Témata:
Algorithms
Computation
Computer simulation
Cosmology
Distributed memory
Domain decomposition methods
Fluid mechanics
Galactic evolution
Galaxy distribution
Gas evolution
Gravity
Memory tasks
methods: numerical
Multipoles
Neutrinos
Numerical methods
Power spectra
Smooth particle hydrodynamics
software: public release
software: simulations
Solvers
Star & galaxy formation
methods: numerical
software: public release
software: simulations
ISSN:0035-8711, 1365-2966, 1365-2966
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Shrnutí:ABSTRACT Numerical simulations have become one of the key tools used by theorists in all the fields of astrophysics and cosmology. The development of modern tools that target the largest existing computing systems and exploit state-of-the-art numerical methods and algorithms is thus crucial. In this paper, we introduce the fully open-source highly-parallel, versatile, and modular coupled hydrodynamics, gravity, cosmology, and galaxy-formation code Swift. The software package exploits hybrid shared- and distributed-memory task-based parallelism, asynchronous communications, and domain-decomposition algorithms based on balancing the workload, rather than the data, to efficiently exploit modern high-performance computing cluster architectures. Gravity is solved for using a fast-multipole-method, optionally coupled to a particle mesh solver in Fourier space to handle periodic volumes. For gas evolution, multiple modern flavours of Smoothed Particle Hydrodynamics are implemented. Swift also evolves neutrinos using a state-of-the-art particle-based method. Two complementary networks of sub-grid models for galaxy formation as well as extensions to simulate planetary physics are also released as part of the code. An extensive set of output options, including snapshots, light-cones, power spectra, and a coupling to structure finders are also included. We describe the overall code architecture, summarize the consistency and accuracy tests that were performed, and demonstrate the excellent weak-scaling performance of the code using a representative cosmological hydrodynamical problem with ≈300 billion particles. The code is released to the community alongside extensive documentation for both users and developers, a large selection of example test problems, and a suite of tools to aid in the analysis of large simulations run with Swift.
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ISSN:0035-8711
1365-2966
1365-2966
DOI:10.1093/mnras/stae922