Development of a GPU-enhanced time-dependent Monte Carlo neutron transport version of McCARD
To enhance the performance of the TDMC neutron transport analysis, a new version of McCARD utilizing GPUs, named McCARD/G, is under development. This version introduces an MC neutron tracking module that employs an event-based algorithm and features a generalized lattice geometry treatment module. A...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2024-01-01
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| Series: | EPJ Nuclear Sciences & Technologies |
| Online Access: | https://www.epj-n.org/articles/epjn/full_html/2024/01/epjn20240032/epjn20240032.html |
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| _version_ | 1841557366064021504 |
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| author | Ko Woo Kyoung Jeong Seong Jeong Kim Young In Shim Hyung Jin |
| author_facet | Ko Woo Kyoung Jeong Seong Jeong Kim Young In Shim Hyung Jin |
| author_sort | Ko Woo Kyoung |
| collection | DOAJ |
| description | To enhance the performance of the TDMC neutron transport analysis, a new version of McCARD utilizing GPUs, named McCARD/G, is under development. This version introduces an MC neutron tracking module that employs an event-based algorithm and features a generalized lattice geometry treatment module. Additionally, significant adaptations of other major modules have been made to optimize for the GPU architecture. The capabilities of McCARD/G have been verified through the C5G7-TD benchmark, which shows good agreements with the reference results. Furthermore, McCARD/G’s efficacy is also demonstrated via an experimental benchmark conducted at the Kyoto University Critical Assembly. |
| format | Article |
| id | doaj-art-8fc6a8cec14b45a9952020881aee22d7 |
| institution | Kabale University |
| issn | 2491-9292 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | EPJ Nuclear Sciences & Technologies |
| spelling | doaj-art-8fc6a8cec14b45a9952020881aee22d72025-01-06T11:34:07ZengEDP SciencesEPJ Nuclear Sciences & Technologies2491-92922024-01-01102810.1051/epjn/2024030epjn20240032Development of a GPU-enhanced time-dependent Monte Carlo neutron transport version of McCARDKo Woo Kyoung0Jeong Seong Jeong1Kim Young In2Shim Hyung Jin3https://orcid.org/0000-0001-5745-1919Nuclear Engineering Department, Seoul National UniversityNuclear Engineering Department, Seoul National UniversityNuclear Engineering Department, Seoul National UniversityNuclear Engineering Department, Seoul National UniversityTo enhance the performance of the TDMC neutron transport analysis, a new version of McCARD utilizing GPUs, named McCARD/G, is under development. This version introduces an MC neutron tracking module that employs an event-based algorithm and features a generalized lattice geometry treatment module. Additionally, significant adaptations of other major modules have been made to optimize for the GPU architecture. The capabilities of McCARD/G have been verified through the C5G7-TD benchmark, which shows good agreements with the reference results. Furthermore, McCARD/G’s efficacy is also demonstrated via an experimental benchmark conducted at the Kyoto University Critical Assembly.https://www.epj-n.org/articles/epjn/full_html/2024/01/epjn20240032/epjn20240032.html |
| spellingShingle | Ko Woo Kyoung Jeong Seong Jeong Kim Young In Shim Hyung Jin Development of a GPU-enhanced time-dependent Monte Carlo neutron transport version of McCARD EPJ Nuclear Sciences & Technologies |
| title | Development of a GPU-enhanced time-dependent Monte Carlo neutron transport version of McCARD |
| title_full | Development of a GPU-enhanced time-dependent Monte Carlo neutron transport version of McCARD |
| title_fullStr | Development of a GPU-enhanced time-dependent Monte Carlo neutron transport version of McCARD |
| title_full_unstemmed | Development of a GPU-enhanced time-dependent Monte Carlo neutron transport version of McCARD |
| title_short | Development of a GPU-enhanced time-dependent Monte Carlo neutron transport version of McCARD |
| title_sort | development of a gpu enhanced time dependent monte carlo neutron transport version of mccard |
| url | https://www.epj-n.org/articles/epjn/full_html/2024/01/epjn20240032/epjn20240032.html |
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