Domain decomposition for GPU-Based continuous energy Monte Carlo power reactor calculation Article Swipe
YOU?
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· 2020
· Open Access
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· DOI: https://doi.org/10.1016/j.net.2020.04.024
A domain decomposition (DD) scheme for GPU-based Monte Carlo (MC) calculation which is essential for whole-core depletion is introduced within the framework of the modified history-based tracking algorithm. Since GPU-offloaded MC calculations suffer from limited memory capacity, employing DDMC is inevitable for the simulation of depleted cores which require large storage to save hundreds of newly generated isotopes. First, an automated domain decomposition algorithm named wheel clustering is devised such that each subdomain contains nearly the same number of fuel assemblies. Second, an inner-outer iteration algorithm allowing overlapped computation and communication is introduced which enables boundary neutron transactions during the tracking of interior neutrons. Third, a bank update scheme which is to include the boundary sources in a way to be adequate to the peculiar data structures of the GPU-based neutron tracking algorithm is presented. The verification and demonstration of the DDMC method are done for 3D full-core problems: APR1400 fresh core and a mock-up depleted core. It is confirmed that the DDMC method performs comparably with the standard MC method, and that the domain decomposition scheme is essential to carry out full 3D MC depletion calculations with limited GPU memory capacities.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.net.2020.04.024
- OA Status
- diamond
- Cited By
- 17
- References
- 16
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3023595309
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3023595309Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/j.net.2020.04.024Digital Object Identifier
- Title
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Domain decomposition for GPU-Based continuous energy Monte Carlo power reactor calculationWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
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2020-05-03Full publication date if available
- Authors
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Namjae Choi, Han Gyu JooList of authors in order
- Landing page
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https://doi.org/10.1016/j.net.2020.04.024Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1016/j.net.2020.04.024Direct OA link when available
- Concepts
-
Domain decomposition methods, Computer science, Computational science, Monte Carlo method, Tracking (education), Boundary (topology), Decomposition, Single-core, Domain (mathematical analysis), Algorithm, Computation, Neutron transport, Parallel computing, Neutron, Finite element method, Physics, Chemistry, Mathematics, Nuclear physics, Organic chemistry, Psychology, Thermodynamics, Statistics, Pedagogy, Mathematical analysisTop concepts (fields/topics) attached by OpenAlex
- Cited by
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17Total citation count in OpenAlex
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2025: 2, 2024: 6, 2023: 4, 2022: 3, 2021: 2Per-year citation counts (last 5 years)
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16Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| institutions_distinct_count | 2 |
| corresponding_institution_ids | https://openalex.org/I139264467 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
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| sustainable_development_goals[0].display_name | Affordable and clean energy |
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| citation_normalized_percentile.is_in_top_10_percent | False |