Work

High performance computing for global optimization problems

Year: 2018

Type: conference-paper

Abstract: In the present work, we considered multiextremal optimization problems and a high-performance parallel algorithm for solving these ones. The investigation of the algorithm scalability has been carried out on the problem class, in which the computation costs of the function value evaluations can be varied at different iteration points. The algorithm proposed in the present work can utilize the CPUs (for solving more complex subproblems) as well as the GPUs (for solving the simple subproblems). We presented results of numerical experiments demonstrating the speedup when solving a series of multiextremal constrained problems.

Source: Journal of Physics Conference Series

DOI: 10.1088/1742-6596/1096/1/012097

Authors: K A Barkalov, V P Gergel

Institution: N. I. Lobachevsky State University of Nizhny Novgorod

Language: English

Topic: Advanced Optimization Algorithms Research

Subfield: Numerical Analysis

Field: Mathematics

Domain: Physical Sciences

Open Access status: diamond

Funder: Russian Science Foundation

Awards: G2278508468, G3118402170