Acceleration of surface tracking in Monte Carlo transport via distance caching

Author:

Kowalski Mikolaj Adam,Cosgrove Paul Malachy

Publisher

Elsevier BV

Subject

Nuclear Energy and Engineering

Reference11 articles.

1. Multi-core performance studies of a Monte Carlo neutron transport code;Siegel;Int. J. High Perform. Comput. Appl.,2014

2. OpenMC: a state-of-the-art Monte Carlo code for research and development;Romano;Ann. Nucl. Energy,2015

3. Initial MCNP6 release overview;Goorley;Nucl. Technol.,2012

4. The Serpent Monte Carlo code: status, development and applications in 2013;Leppänen;Ann. Nucl. Energy,2015

5. Long, D., Richards, S., Smith, P.N., Baker, C., Bird, A., Davies, N., Dobson, G., Fry, T., Hanlon, D., Perry, R., others, 2015. MONK10: a Monte Carlo code for criticality analysis. In: Proc. ICNC.

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1. The Random Ray Method Versus Multigroup Monte Carlo: The Method of Characteristics in OpenMC and SCONE;Nuclear Science and Engineering;2023-11-27

2. ASMAMC: A Specific Microprocessor Architecture for Monte Carlo Method;2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys);2022-12

3. MiniMCTAD: Minimalist Monte Carlo Transport Architecture Design;2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom);2021-09

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