| Issue |
EPJ Web Conf.
Volume 302, 2024
Joint International Conference on Supercomputing in Nuclear Applications + Monte Carlo (SNA + MC 2024)
|
|
|---|---|---|
| Article Number | 04009 | |
| Number of page(s) | 8 | |
| Section | Monte-Carlo Transport Codes: Algorithms, HPC & GPU | |
| DOI | https://doi.org/10.1051/epjconf/202430204009 | |
| Published online | 15 October 2024 | |
https://doi.org/10.1051/epjconf/202430204009
Adaptive Memory Saving Strategy in Shielding Calculation of RMC
Tsinghua University
* e-mail: hyz20@mails.tsinghua.edu.cn
Published online: 15 October 2024
RMC(Reactor Monte Carlo) is a Monte Carlo simulation software used in reactor design and has been verified by different benchmarks. The former data structure and algorithm have been optimized for criticality and burn-up calculation making it inconvenient to be implemented into shielding simulation and variance reduction. In order to expand its availability in shielding calculation, several optimizations have been made in RMC code design to elevate efficiency in variance reduction. Considering parallel computation has been implemented in Monte Carlo simulation for long time, in this paper we proposed an adaptive memory saving strategy specifically designed for boosting parallel variance reduction calculation in RMC. We further found that this strategy can be very effective in certain condition without sacrificing any calculation performance.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.