Implementation of meso-scale radioactive dispersion model for GPU

被引:1
作者
Sunarko [1 ]
Suud, Z. [2 ]
机构
[1] Natl Nucl Energy Agcy Indonesia BATAN, Nucl Energy Assessment Ctr, Jl Kuningan Barat, Jakarta 10270, Indonesia
[2] Bandung Inst Technol ITB, Phys Dept, Jl Ganesha 10, Bandung, Indonesia
关键词
D O I
10.3139/124.110646
中图分类号
TL [原子能技术]; O571 [原子核物理学];
学科分类号
0827 ; 082701 ;
摘要
Lagrangian Particle Dispersion Method (LPDM) is applied to model atmospheric dispersion of radioactive material in a meso-scale of a few tens of kilometers for site study purpose. Empirical relationships are used to determine the dispersion coefficient for various atmospheric stabilities. Diagnostic 3-D wind-field is solved based on data from one meteorological station using mass-conservation principle. Particles representing radioactive pollutant are dispersed in the wind-field as a point source. Time-integrated air concentration is calculated using kernel density estimator (KDE) in the lowest layer of the atmosphere. Parallel code is developed for GTX-660Ti GPU with a total of 1 344 scalar processors using CUDA. A test of 1-hour release discovers that linear speedup is achieved starting at 28 800 particles-per-hour (pph) up to about 20 x at 14 4000 pph. Another test simulating 6-hour release with 36 000 pph resulted in a speedup of about 60 x. Statistical analysis reveals that resulting grid doses are nearly identical in both CPU and GPU versions of the code.
引用
收藏
页码:225 / 231
页数:7
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