XU Jianya, YANG Lei, ZHANG Yanshi, ZHANG Xunchao, FU Fen, ZHANG Yaling, YANG Qiong. Application and Development of MPI in Monte Carlo Code GMT[J]. Nuclear Physics Review, 2017, 34(2): 204-210. doi: 10.11804/NuclPhysRev.34.02.204
| Citation:
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XU Jianya, YANG Lei, ZHANG Yanshi, ZHANG Xunchao, FU Fen, ZHANG Yaling, YANG Qiong. Application and Development of MPI in Monte Carlo Code GMT[J]. Nuclear Physics Review, 2017, 34(2): 204-210. doi: 10.11804/NuclPhysRev.34.02.204
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Application and Development of MPI in Monte Carlo Code GMT
- 1.
University of Science and Technology of China, Hefei 230026, China;
- 2.
Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
Funds:
Strategic Priority Research Program of Chinese Academy of Sciences(XDA03030100)
- Received Date: 2016-06-20
- Rev Recd Date:
2016-08-24
- Publish Date:
2017-06-20
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Abstract
For the research and design of the ADS granular-flow target concept, the Institute of Modern Physics, CAS has developed a Monte Carlo simulation software (GPU-accelerated Monte Carlo Transport program, GMT). In order to improve the computational efficiency of the GMT program, development and application of MPI in GMT were studied, to realize random distribution of the large-scale random number in the sub processes. Rapid reading and writing files were employed instead of the MPI data communication function, which greatly improves the computational efficiency. Different scale calculations were performed to study the relationship of process instance number, speedup to find the maximum acceleration process number and the number of processes when parallel efficiency is highest, which provides a scientific basis for researchers to optimize the computational program between computational resources and computation efficiency. The successful application of MPI in GMT, utilizes the computing resources fully and efficiently, improves the computational efficiency, solve the long time cost and unstable problem of Monte Carlo method in large-scale event simulations, plays an important role in the large-scale scanning calculation of the spallation target.
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