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Pseudo-Random Numbers for Identical Results on Varying Numbers of Processors in Domain Decomposed Particle Monte Carlo Simulations
LI Gang, ZHANG Baoyin, DENG Li, SHANGGUAN Danhua, LI Rui, MA Yan, FU Yuanguang, HU Xiaoli
CHINESE JOURNAL OF COMPUTATIONAL PHYSICS    2017, 34 (1): 67-72.  
Abstract454)   HTML2)    PDF (1448KB)(1846)      
Detailed modeling and massive tallying of nuclear reactors lead to memory overload for a single core processor.It could not be calculated by Monte Carlo particle transport with particle parallelism only.Domain decomposition is one of solutions.Domain decomposition needs to interchange particles between processors, so that inherit technique of pseudo-random number could not make identical results between serial and parallel.Two techniques of pseudo-random number are described to obtain identical results on different numbers of domains in a Monte Carlo particle simulation code.
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Design and Development of Auto-Modeling Tool JLAMT for Field Application of Large-scale Models
MA Yan, FU Yuanguang, QIN Guiming, DENG Li, LI Gang, SHANGGUAN Danhua, HU Zehua, HU Xiaoli, LI Rui, CHENG Tangpei
CHINESE JOURNAL OF COMPUTATIONAL PHYSICS    2016, 33 (5): 606-612.  
Abstract378)   HTML0)    PDF (5342KB)(1396)      
In order to develop large-scale transport simulation (such as simulation of whole reactor core pin-by-pin problem), we developed a neutron photon coupled transport code JMCT. In this article, developing idea of a auto modeling tool JLAMT based on field oriented development is introduced. JLAMT developed several quick and assembly modeling tools. Data structure based on hierarchical geometry tree was designed. Automatic conversion and generation of physical model input file for GDML file format are made. By using those modeling tools, complex devices (include DAYAWAN whole-core model) were created, and transformed file was delivered to JMCT for transport calculation. Results were validated for correctness of visual modeling tools.
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