HARD: A Performance Portable Radiation Hydrodynamics Code based on FleCSI Framework
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arXiv
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| Main Authors: | , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | |
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| _version_ | 1866911693361119232 |
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| author | Loiseau, Julien Lim, Hyun López, Andrés Yagüe Baghirzade, Mammadbaghir Khan, Shihab Shahriar Kim, Yoonsoo Neopane, Sudarshan Strack, Alexander Taiyebah, Farhana Bergen, Benjamin K. |
| author_facet | Loiseau, Julien Lim, Hyun López, Andrés Yagüe Baghirzade, Mammadbaghir Khan, Shihab Shahriar Kim, Yoonsoo Neopane, Sudarshan Strack, Alexander Taiyebah, Farhana Bergen, Benjamin K. |
| contents | Hydrodynamics And Radiation Diffusion} (HARD) is an open-source application for high-performance simulations of compressible hydrodynamics with radiation-diffusion coupling. Built on the FleCSI (Flexible Computational Science Infrastructure) framework, HARD expresses its computational units as tasks whose execution can be orchestrated by multiple back-end runtimes, including Legion, MPI, and HPX. Node-level parallelism is delegated to Kokkos, providing a single, portable code base that runs efficiently on laptops, small homogeneous clusters, and the largest heterogeneous supercomputers currently available. To ensure scientific reliability, HARD includes a regression-test suite that automatically reproduces canonical verification problems such as the Sod and LeBlanc shock tubes and the Sedov blast wave, comparing numerical solutions against known analytical results. The project is distributed under an OSI-approved license, hosted on GitHub, and accompanied by reproducible build scripts and continuous integration workflows. This combination of performance portability, verification infrastructure, and community-focused development makes HARD a sustainable platform for advancing radiation hydrodynamics research across multiple domains. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_08971 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | HARD: A Performance Portable Radiation Hydrodynamics Code based on FleCSI Framework Loiseau, Julien Lim, Hyun López, Andrés Yagüe Baghirzade, Mammadbaghir Khan, Shihab Shahriar Kim, Yoonsoo Neopane, Sudarshan Strack, Alexander Taiyebah, Farhana Bergen, Benjamin K. Computational Physics Instrumentation and Methods for Astrophysics Distributed, Parallel, and Cluster Computing Hydrodynamics And Radiation Diffusion} (HARD) is an open-source application for high-performance simulations of compressible hydrodynamics with radiation-diffusion coupling. Built on the FleCSI (Flexible Computational Science Infrastructure) framework, HARD expresses its computational units as tasks whose execution can be orchestrated by multiple back-end runtimes, including Legion, MPI, and HPX. Node-level parallelism is delegated to Kokkos, providing a single, portable code base that runs efficiently on laptops, small homogeneous clusters, and the largest heterogeneous supercomputers currently available. To ensure scientific reliability, HARD includes a regression-test suite that automatically reproduces canonical verification problems such as the Sod and LeBlanc shock tubes and the Sedov blast wave, comparing numerical solutions against known analytical results. The project is distributed under an OSI-approved license, hosted on GitHub, and accompanied by reproducible build scripts and continuous integration workflows. This combination of performance portability, verification infrastructure, and community-focused development makes HARD a sustainable platform for advancing radiation hydrodynamics research across multiple domains. |
| title | HARD: A Performance Portable Radiation Hydrodynamics Code based on FleCSI Framework |
| topic | Computational Physics Instrumentation and Methods for Astrophysics Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2509.08971 |