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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| Veröffentlicht in: | Monthly notices of the Royal Astronomical Society Jg. 530; H. 2; S. 2378 - 2419 |
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| Hauptverfasser: | , , , , , , , , , , , , , , , , , , , , , , , , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
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Oxford University Press
01.05.2024
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| ISSN: | 0035-8711, 1365-2966, 1365-2966 |
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| Abstract | 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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| AbstractList | 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. 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. 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. 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. |
| Author | Borrow, Josh Xiang, Zhen Nobels, Folkert S J Bahé, Yannick Chaikin, Evgenii Revaz, Yves Ruiz-Bonilla, Sergio Vandenbroucke, Bert Hausammann, Loïc Huško, Filip Roper, William J Uyttenhove, Yolan Gonnet, Pedro van Daalen, Marcel Ploeckinger, Sylvia Sandnes, Thomas D Chalk, Aidan B G Ivkovic, Mladen Helly, John McAlpine, Stuart Chan, Tsang Keung Willis, James S Kegerreis, Jacob A Draper, Peter W Correa, Camila Schaller, Matthieu Elbers, Willem |
| Author_xml | – sequence: 1 givenname: Matthieu orcidid: 0000-0002-2395-4902 surname: Schaller fullname: Schaller, Matthieu email: schaller@strw.leidenuniv.nl – sequence: 2 givenname: Josh orcidid: 0000-0002-1327-1921 surname: Borrow fullname: Borrow, Josh – sequence: 3 givenname: Peter W surname: Draper fullname: Draper, Peter W – sequence: 4 givenname: Mladen surname: Ivkovic fullname: Ivkovic, Mladen – sequence: 5 givenname: Stuart orcidid: 0000-0002-8286-7809 surname: McAlpine fullname: McAlpine, Stuart – sequence: 6 givenname: Bert orcidid: 0000-0001-7241-1704 surname: Vandenbroucke fullname: Vandenbroucke, Bert – sequence: 7 givenname: Yannick orcidid: 0000-0002-3196-5126 surname: Bahé fullname: Bahé, Yannick – sequence: 8 givenname: Evgenii orcidid: 0000-0003-2047-3684 surname: Chaikin fullname: Chaikin, Evgenii – sequence: 9 givenname: Aidan B G surname: Chalk fullname: Chalk, Aidan B G – sequence: 10 givenname: Tsang Keung orcidid: 0000-0003-2544-054X surname: Chan fullname: Chan, Tsang Keung – sequence: 11 givenname: Camila orcidid: 0000-0002-5830-8070 surname: Correa fullname: Correa, Camila – sequence: 12 givenname: Marcel orcidid: 0000-0002-8801-4911 surname: van Daalen fullname: van Daalen, Marcel – sequence: 13 givenname: Willem orcidid: 0000-0002-2207-6108 surname: Elbers fullname: Elbers, Willem – sequence: 14 givenname: Pedro surname: Gonnet fullname: Gonnet, Pedro – sequence: 15 givenname: Loïc surname: Hausammann fullname: Hausammann, Loïc – sequence: 16 givenname: John surname: Helly fullname: Helly, John – sequence: 17 givenname: Filip orcidid: 0000-0002-1510-1731 surname: Huško fullname: Huško, Filip – sequence: 18 givenname: Jacob A orcidid: 0000-0001-5383-236X surname: Kegerreis fullname: Kegerreis, Jacob A – sequence: 19 givenname: Folkert S J orcidid: 0000-0002-0117-7495 surname: Nobels fullname: Nobels, Folkert S J – sequence: 20 givenname: Sylvia surname: Ploeckinger fullname: Ploeckinger, Sylvia – sequence: 21 givenname: Yves orcidid: 0000-0002-6227-0108 surname: Revaz fullname: Revaz, Yves – sequence: 22 givenname: William J orcidid: 0000-0002-3257-8806 surname: Roper fullname: Roper, William J – sequence: 23 givenname: Sergio orcidid: 0000-0003-0925-9804 surname: Ruiz-Bonilla fullname: Ruiz-Bonilla, Sergio – sequence: 24 givenname: Thomas D surname: Sandnes fullname: Sandnes, Thomas D – sequence: 25 givenname: Yolan surname: Uyttenhove fullname: Uyttenhove, Yolan – sequence: 26 givenname: James S surname: Willis fullname: Willis, James S – sequence: 27 givenname: Zhen surname: Xiang fullname: Xiang, Zhen |
| BackLink | https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-229345$$DView record from Swedish Publication Index (Stockholms universitet) |
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Numerical simulations have become one of the key tools used by theorists in all the fields of astrophysics and cosmology. The development of modern... 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... 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... |
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| SubjectTerms | 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 |
| Title | Swift : a modern highly parallel gravity and smoothed particle hydrodynamics solver for astrophysical and cosmological applications |
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