Research on Tally Data Decomposition Algorithms Based on Reactor Monte Carlo Code RMC

Liang Jingang; Wang Kan; Yu Ganglin; She Ding; Chai Xiaoming; Qiang Shenglong; Yao Dong

doi:10.13832/j.jnpe.2014.04.0142

Volume 35 Issue 4

Feb. 2025

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Liang Jingang, Wang Kan, Yu Ganglin, She Ding, Chai Xiaoming, Qiang Shenglong, Yao Dong. Research on Tally Data Decomposition Algorithms Based on Reactor Monte Carlo Code RMC[J]. Nuclear Power Engineering, 2014, 35(4): 142-146. doi: 10.13832/j.jnpe.2014.04.0142

Citation:

Liang Jingang, Wang Kan, Yu Ganglin, She Ding, Chai Xiaoming, Qiang Shenglong, Yao Dong. Research on Tally Data Decomposition Algorithms Based on Reactor Monte Carlo Code RMC[J]. Nuclear Power Engineering, 2014, 35(4): 142-146. doi: 10.13832/j.jnpe.2014.04.0142

Citation:

Liang Jingang, Wang Kan, Yu Ganglin, She Ding, Chai Xiaoming, Qiang Shenglong, Yao Dong. Research on Tally Data Decomposition Algorithms Based on Reactor Monte Carlo Code RMC[J]. Nuclear Power Engineering, 2014, 35(4): 142-146. doi: 10.13832/j.jnpe.2014.04.0142

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Research on Tally Data Decomposition Algorithms Based on Reactor Monte Carlo Code RMC

doi: 10.13832/j.jnpe.2014.04.0142

1. Department of Engineering Physics, Tsinghua University, Beijing, 100084, China;
2. Institute of Nuclear and New Energy Technology, Tsinghua University, Beijing, 100084, China;
3. Science and Technology on Reactor System Design Technology Laboratory, Nuclear Power Institute of China, Chengdu, 610041, China

Received Date: 2013-12-20
Rev Recd Date: 2014-02-25

Available Online: 2025-02-15

Abstract

Abstract

The applications of Monte Carlo method in reactor physics analysis are restricted due to excessive memory demand in solving large-scale problems, while data decomposition is supposed to be a remedy. In this paper quantitative memory requirements in MC simulation are analyzed. Two types of tally data decomposition algorithms, which utilize synchronous and asynchronous communications, are designed and implemented in Reactor Monte Carlo code（RMC）. Numerical tests are carried out to evaluate performance of new algorithms. It is shown that tally data decomposition algorithm can reduce memory size effectively while parallel efficiency of the code is not affected.
- Data decomposition,
- Tally,
- Monte Carlo,
- Memory,
- RMC,
- Parallel efficiency