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
Hauptverfasser: 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
Format: Journal Article
Sprache:Englisch
Veröffentlicht: London 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.
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
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  surname: Schaller
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  email: schaller@strw.leidenuniv.nl
– sequence: 2
  givenname: Josh
  orcidid: 0000-0002-1327-1921
  surname: Borrow
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  surname: McAlpine
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  surname: Bahé
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  surname: Chaikin
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  surname: Chalk
  fullname: Chalk, Aidan B G
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  orcidid: 0000-0003-2544-054X
  surname: Chan
  fullname: Chan, Tsang Keung
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  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
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  surname: Huško
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  givenname: Jacob A
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  surname: Kegerreis
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  givenname: Folkert S J
  orcidid: 0000-0002-0117-7495
  surname: Nobels
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  surname: Revaz
  fullname: Revaz, Yves
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  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
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  givenname: Thomas D
  surname: Sandnes
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  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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Snippet 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...
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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