SuperMC cloud for nuclear design and safety evaluation

被引：10

作者：

Hu, Liqin ^{[1
]}

Long, Pengcheng ^{[1
]}

Song, Jing ^{[1
]}

He, Tao ^{[1
]}

Wang, Fang ^{[1
]}

Hao, Lijuan ^{[1
]}

Wu, Bin ^{[1
]}

Yu, Shengpeng ^{[1
]}

He, Peng ^{[1
]}

Wang, Lei ^{[1
]}

Sun, Guangyao ^{[1
]}

Zou, Jun ^{[1
]}

Gan, Quan ^{[1
]}

Sun, Guomin ^{[1
]}

Li, Zhongyang ^{[1
]}

Wu, Yican ^{[1
]}

机构：

[1] Chinese Acad Sci, Inst Nucl Energy Safety Technol, Key Lab Neutron & Radiat Safety, Hefei 230031, Anhui, Peoples R China

来源：

ANNALS OF NUCLEAR ENERGY | 2019年 / 134卷

基金：

中国国家自然科学基金;

关键词：

SuperMC; Monte Carlo; Cloud computing; DEVELOPMENT STRATEGY; CONCEPTUAL DESIGN; PROGRESS; VALIDATION;

D O I：

10.1016/j.anucene.2019.07.019

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：

For nuclear design and safety evaluation, along with the development of accuracy and efficiency, further demands are proposed for the nuclear simulation to computing platforms, such as convenient large data processing, secured data storage and transfer as well as secured control over the accessing to the codes. To meet the requirements, the SuperMC Cloud has been developed and has been designed to offer secure, efficient and convenient cloud service for nuclear simulation. It consists of two parts, the High Performance Calculation (HPC) part and the High Performance Graphics (HPG) part. Adopting advanced features dedicatedly designed for nuclear simulation, such as shared distributed storage, secured data storage and transfer, license control and etc., SuperMC cloud would be a preferred cloud platform for nuclear design and safety evaluation. (C) 2019 Elsevier Ltd. All rights reserved.

引用

页码：424 / 431

页数：8

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