基准测试辐射传输蒙特卡罗模拟与MCNP和Geant4使用高性能计算.
Kenneth Moats1, Marc Desrosiers1, Greg Linton2
1Radiation Protection Bureau, Health Canada, 775 Brookfield Road, Ottawa, ON K1A 1C1, Canada.
Health physics
|March 6, 2026
概括
高性能计算系统,包括云选项,加速蒙特卡洛模拟用于辐射传输建模. 使用更多的并行线程显著减少了MCNP和Geant4的计算时间,使云计算成为一个具有成本效益的解决方案.
科学领域:
- 计算物理学的计算物理.
- 医学物理 医学物理
- 高性能计算的高性能计算.
背景情况:
- 蒙特卡洛模拟对于模拟辐射传输至关重要.
- 评估高性能计算 (HPC) 系统对于优化模拟效率至关重要.
- 在甲状腺中检测-131 (131I) 玛射线是一个相关的应用.
研究的目的:
- 为了比较各种HPC系统的性能,用于蒙特卡洛模拟.
- 确定用于辐射传输建模的最有效的计算配置.
- 为这些模拟评估云计算的成本效益和性能.
主要方法:
- 使用MCNP和Geant4蒙特卡罗软件建模了131I马射线发射和检测.
- 通过将计算时间与平行线程数量进行比较来对比模拟性能.
- 测试的系统包括虚拟机,桌面,超级计算机,科学集群和云计算.
主要成果:
- 在HPC系统上增加并行线程减少了MCNP和Geant4模拟运行时间.
- 云计算证明了计算时间的显著减少.
- 根据处理器,时间和成本确定了最佳的云配置.
结论:
- 高性能计算系统,特别是云计算,为蒙特卡洛辐射传输模拟提供了显著的加快速度.
- 云计算为复杂的模拟提供了具有成本效益,可扩展性和按需的解决方案.
- 并行处理是提高MCNP和Geant4模拟效率的关键.
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