GLOBALIZER: A NOVEL SUPERCOMPUTER SOFTWARE SYSTEM FOR SOLVING TIME-CONSUMING GLOBAL OPTIMIZATION PROBLEMS

Victor Gergel; Konstantin Barkalov; Alexander Sysoyev

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GLOBALIZER: A NOVEL SUPERCOMPUTER SOFTWARE SYSTEM FOR SOLVING TIME-CONSUMING GLOBAL OPTIMIZATION PROBLEMS

机译：Globalizer：一种用于解决耗时的全球优化问题的新型超级计算机软件系统

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摘要

In this paper, we describe the Globalizer software system for solving the global optimization problems. The system is designed to maximize the use of computational potential of the modern high-performance computational systems in order to solve the most time-consuming optimization problems. The highly parallel computations are facilitated using various distinctive computational schemes: processing several optimization iterations simultaneously, reducing multidimensional optimization problems using multiple Peano spacefilling curves, and multi-stage computing based on the nested block reduction schemes. These novelties provide for the use of the supercomputer system capabilities with shared and distributed memory and with large numbers of processors to solve the global optimization problems efficiently.

机译：在本文中，我们描述了解决全球化软件系统，用于解决全球优化问题。该系统旨在最大限度地利用现代高性能计算系统的计算潜力，以解决最耗时的优化问题。使用各种独特的计算方案促进了高度平行的计算：处理多个优化迭代，同时使用多维PEALO空浮化曲线减少多维优化问题，以及基于嵌套块降低方案的多级计算。这些Novelties提供了使用共享和分布式存储器的超级计算机系统功能以及大量处理器有效地解决全局优化问题。

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来源
《Numerical Algebra, Control and Optimization》 |2018年第1期|共16页
作者
Victor Gergel; Konstantin Barkalov; Alexander Sysoyev;
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作者单位

Lobachevsky State University of Nizhni Novgorod 23 Gagarin Avenue Nizhni Novgorod Russia;

Lobachevsky State University of Nizhni Novgorod 23 Gagarin Avenue Nizhni Novgorod Russia;

Lobachevsky State University of Nizhni Novgorod 23 Gagarin Avenue Nizhni Novgorod Russia;

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正文语种 eng
中图分类计量学;
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Global optimization; information-statistical theory; parallel computing; high-performance computational systems; supercomputing technologies;

机译：全局优化;信息统计理论;并行计算;高性能计算系统;超级计算技术;

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专利

1. GLOBALIZER: A NOVEL SUPERCOMPUTER SOFTWARE SYSTEM FOR SOLVING TIME-CONSUMING GLOBAL OPTIMIZATION PROBLEMS [J] . Victor Gergel, Konstantin Barkalov, Alexander Sysoyev Numerical Algebra, Control and Optimization . 2018,第1期

机译：Globalizer：一种用于解决耗时的全球优化问题的新型超级计算机软件系统
2. Solving Systems of Nonlinear Equations Using A Globally Convergent Optimization Algorithm [J] . Sona Taheri, Musa Mammadov Global Journal of Technology and Optimization . 2012,第2期

机译：使用全局收敛的优化算法求解非线性方程组
3. Generalized Parallel Computational Schemes for Time-Consuming Global Optimization [J] . R. G. Strongin, V. P. Gergel, K. A. Barkalov, Lobachevskii journal of mathematics . 2018,第4期

机译：耗时全局优化的广义并行计算方案
4. Globalizer - A Parallel Software System for Solving Global Optimization Problems [C] . Alexander Sysoyev, Konstantin Barkalov, Vladislav Sovrasov, International conference on parallel computing technologies . 2017

机译：Globalizer-解决全局优化问题的并行软件系统
5. Fast, globally convergent optimization algorithms, with applications to engineering systems design. [D] . Zhou, Jian. 1992

机译：快速，全球收敛的优化算法，应用于工程系统设计。
6. Solving global shallow water equations on heterogeneous supercomputers [O] . Haohuan Fu, Lin Gan, Chao Yang, 2012

机译：在异构超级计算机上求解全局浅水方程
7. WHY METHODS FOR OPTIMIZATION PROBLEMS WITH TIME-CONSUMING FUNCTION EVALUATIONS AND INTEGER VARIABLES SHOULD USE GLOBAL APPROXIMATION MODELS [O] . Lonneke Driessen, Ruud Brekelmans, Marloes Gerichhausen, 2006

机译：为什么采用时间消耗函数评估和整数变量的优化问题的方法应该使用全局近似模型
8. Differential Geometric Methods for Solving Nonlinear Constrained Optimization Problems and a Related System of Nonlinear Equations: Global Analysis and Implementation [R] . Tanabe, K. 1978

机译：求解非线性约束优化问题的微分几何方法及相关的非线性方程组：全局分析与实现

GLOBALIZER: A NOVEL SUPERCOMPUTER SOFTWARE SYSTEM FOR SOLVING TIME-CONSUMING GLOBAL OPTIMIZATION PROBLEMS

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