The Parallel Compact Object CALculator: An Efficient General Relativistic Initial Data Solver for Compact Objects
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arXiv
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| Format: | Preprint |
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2023
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| _version_ | 1866911883601117184 |
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| author | Boukas, Lambros Tsokaros, Antonios Uryu, Koji |
| author_facet | Boukas, Lambros Tsokaros, Antonios Uryu, Koji |
| contents | Every numerical general relativistic investigation starts from the solution of the initial value equations at a given time. Astrophysically relevant initial values for different systems lead to distinct set of equations that obey specific assumptions tied to the particular problem. Therefore a robust and efficient solver for a variety of strongly gravitating sources is needed. In this work we present the OpenMP version of the Compact Object CALculator (COCAL) on shared memory processors. We performed extensive profiling of the core COCAL modules in order to identify bottlenecks in efficiency which we addressed. Using modest resources, the new parallel code achieves speedups approximately one order of magnitude relative to the original serial COCAL code, which is crucial for parameter studies of computationally expensive systems, such as magnetized neutron stars, as well as its further development towards more realistic scenarios. As a novel example of our new code we compute a binary quark system where each companion has a dimensionless spin of $0.43$ aligned with the orbital angular momentum. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2312_15328 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | The Parallel Compact Object CALculator: An Efficient General Relativistic Initial Data Solver for Compact Objects Boukas, Lambros Tsokaros, Antonios Uryu, Koji General Relativity and Quantum Cosmology Every numerical general relativistic investigation starts from the solution of the initial value equations at a given time. Astrophysically relevant initial values for different systems lead to distinct set of equations that obey specific assumptions tied to the particular problem. Therefore a robust and efficient solver for a variety of strongly gravitating sources is needed. In this work we present the OpenMP version of the Compact Object CALculator (COCAL) on shared memory processors. We performed extensive profiling of the core COCAL modules in order to identify bottlenecks in efficiency which we addressed. Using modest resources, the new parallel code achieves speedups approximately one order of magnitude relative to the original serial COCAL code, which is crucial for parameter studies of computationally expensive systems, such as magnetized neutron stars, as well as its further development towards more realistic scenarios. As a novel example of our new code we compute a binary quark system where each companion has a dimensionless spin of $0.43$ aligned with the orbital angular momentum. |
| title | The Parallel Compact Object CALculator: An Efficient General Relativistic Initial Data Solver for Compact Objects |
| topic | General Relativity and Quantum Cosmology |
| url | https://arxiv.org/abs/2312.15328 |