Studying the Efficiency of the Parallel Algorithm for Solving the Eigenvalue Problem Implemented in the LUCKY-A Computer Code

Egorov A. L.; Moryakov A. V.; Raskach K. F.

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Studying the Efficiency of the Parallel Algorithm for Solving the Eigenvalue Problem Implemented in the LUCKY-A Computer Code

机译：研究并行算法求解求解幸运 - 计算机代码中的特征值问题的效率

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The efficiency of a parallel algorithm for solving the eigenvalue problem implemented in the LUCKY-A computer code is studied. The parallel algorithm is developed for application on supercomputers using the MPI standard of data exchange between parallel processes. The test problem-model of a fast breeder-is studied with the use of the library of 21-group cross sections. Results of solving this problem obtained by the LUCKY-A, TORT, and MMKKENO computer codes are presented. The efficiency of the parallel algorithm is determined as a function of the number of space subdomains in the computational domain.

机译：研究了求解幸运 - 一种计算机代码中实现的特征值问题的并行算法的效率。使用并行过程之间的数据交换的MPI标准，开发了并行算法以应用于超级计算机。使用21组横截面的图书馆研究了快速育种者的测试问题模型。解决了解决了幸运-A，侵权和MMKKENO计算机代码获得的这个问题的结果。并行算法的效率被确定为计算域中的空间子域数的函数。

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来源
《Physics of atomic nuclei》 |2018年第8期|共5页
作者
Egorov A. L.; Moryakov A. V.; Raskach K. F.;
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作者单位

Kurchatov Inst Natl Res Ctr Moscow 123182 Russia;

Kurchatov Inst Natl Res Ctr Moscow 123182 Russia;

AO Leipunskii Inst Phys &

Power Engn Obninsk 249033 Kaluga Oblast Russia;

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原文格式 PDF
正文语种 eng
中图分类原子物理学;原子核物理学、高能物理学;
关键词
algorithm; transport equation; PmSn approximation; iterative process; program; supercomputer; parallel process efficiency; solution; space subdomain; basic solution;

机译：算法;传输方程;PMSN近似;迭代过程;程序;超级计算机;并行过程效率;解决方案;空间子域;基本解决方案;

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1. Studying the Efficiency of the Parallel Algorithm for Solving the Eigenvalue Problem Implemented in the LUCKY-A Computer Code [J] . Egorov A. L., Moryakov A. V., Raskach K. F. Physics of atomic nuclei . 2018,第8期

机译：研究并行算法求解求解幸运 - 计算机代码中的特征值问题的效率
2. Solving symmetric eigenvalue problem via genetic algorithms: Serial versus parallel implementation [J] . Subhajit Nandy, Rahul Sharma, S. P. Bhattacharyya Applied Soft Computing . 2011,第5期

机译：通过遗传算法解决对称特征值问题：串行与并行实现
3. Efficiency Analysis of the Parallel Implementation of the SIMPLE Algorithm on Multiprocessor Computers [J] . Lashkin S. V., Kozelkov A. S., Yalozo A. V., Journal of Applied Mechanics and Technical Physics . 2017,第7期

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4. IMPLEMENTATION OF SURFACE-TO-SURFACE CONTACT ALGORITHMS USING ITERATIVE SOLVERS ON PARALLEL COMPUTERS [C] . Eui Joong Kim, Tod A. Laursen IASTED International Conference on Parallel and Distributed Computing and Systems . 2006

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6. An Improved Algorithm and Its Parallel Implementation for Solving a General Blood-Tissue Transport and Metabolism Model [O] . Dexuan Xie, Ranjan K. Dash, Daniel A. Beard -1

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7. Phase-creation algorithm to solve and extended Deutsch problem with an implementation on an NMR quantum computer (Analytical Study of Quantum Information and Related Fields) [O] . Ozawa Hiroshi 2002

机译：相位创建算法，用于解决和扩展Deutsch问题，并在NMR量子计算机上实现（量子信息和相关领域的分析研究）

Studying the Efficiency of the Parallel Algorithm for Solving the Eigenvalue Problem Implemented in the LUCKY-A Computer Code

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