EMMA: an adaptive mesh refinement cosmological simulation code with radiative transfer

Aubert, Dominique; Deparis, Nicolas; Ocvirk, Pierre

doi:10.1093/mnras/stv1896

Title: EMMA: an adaptive mesh refinement cosmological simulation code with radiative transfer

Journal Article · 30 September 2015 · Monthly Notices of the Royal Astronomical Society

DOI: https://doi.org/10.1093/mnras/stv1896 · OSTI ID:1565490

Aubert, Dominique ^[1]; Deparis, Nicolas ^[1]; Ocvirk, Pierre ^[1]

Univ. de Strasbourg, Strasbourg (France)

EMMA is a cosmological simulation code aimed at investigating the reionization epoch. It handles simultaneously collisionless and gas dynamics, as well as radiative transfer physics using a moment-based description with the M1 approximation. Field quantities are stored and computed on an adaptive three-dimensional mesh and the spatial resolution can be dynamically modified based on physically motivated criteria. Physical processes can be coupled at all spatial and temporal scales. We also introduce a new and optional approximation to handle radiation: the light is transported at the resolution of the non-refined grid and only once the dynamics has been fully updated, whereas thermo-chemical processes are still tracked on the refined elements. Such an approximation reduces the overheads induced by the treatment of radiation physics. A suite of standard tests are presented and passed by EMMA, providing a validation for its future use in studies of the reionization epoch. The code is parallel and is able to use graphics processing units (GPUs) to accelerate hydrodynamics and radiative transfer calculations. Depending on the optimizations and the compilers used to generate the CPU reference, global GPU acceleration factors between ×3.9 and ×16.9 can be obtained. As a result, vectorization and transfer operations currently prevent better GPU performance and we expect that future optimizations and hardware evolution will lead to greater accelerations.

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Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)

Sponsoring Organization:: USDOE Office of Science (SC)

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 1565490

Journal Information:: Monthly Notices of the Royal Astronomical Society, Vol. 454, Issue 1; ISSN 0035-8711

Publisher:: Royal Astronomical SocietyCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 36 works

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