Parallel global optimization on GPU

Barkalov, Konstantin; Gergel, Victor

doi:10.1007/s10898-016-0411-y

Cited by 53 publications

(12 citation statements)

References 27 publications

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“…Here, 8 different classes from 18 were used (see supplementary materials for their description and for definition of what does it mean that a problem has been solved). These classes and the respective search accuracies have been taken since they represent a well established tool used frequently to compare deterministic global optimization algorithms 18 , 28 – 31 . Fig.…”

Section: Resultsmentioning

confidence: 99%

On the efficiency of nature-inspired metaheuristics in expensive global optimization with limited budget

Sergeyev

Kvasov

Mukhametzhanov

2018

Sci Rep

166

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Global optimization problems where evaluation of the objective function is an expensive operation arise frequently in engineering, decision making, optimal control, etc. There exist two huge but almost completely disjoint communities (they have different journals, different conferences, different test functions, etc.) solving these problems: a broad community of practitioners using stochastic nature-inspired metaheuristics and people from academia studying deterministic mathematical programming methods. In order to bridge the gap between these communities we propose a visual technique for a systematic comparison of global optimization algorithms having different nature. Results of more than 800,000 runs on 800 randomly generated tests show that both stochastic nature-inspired metaheuristics and deterministic global optimization methods are competitive and surpass one another in dependence on the available budget of function evaluations.

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Section: Resultsmentioning

confidence: 99%

On the efficiency of nature-inspired metaheuristics in expensive global optimization with limited budget

Sergeyev

Kvasov

Mukhametzhanov

2018

Sci Rep

166

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“…In particular, GPUs can help to solve global optimization problems (e.g., see [4]). However, to actually obtain this speed-up, the implementation of an algorithm should be thoroughly adapted for GPU architecture.…”

Section: A Gpu Implementation Of the Black-box Algorithmmentioning

confidence: 99%

A Volunteer Computing Project for Solving Geoacoustic Inversion Problems

et al. 2017

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Abstract:A volunteer computing project aimed at solving computationally hard inverse problems in underwater acoustics is described. This project was used to study the possibilities of the sound speed profile reconstruction in a shallow-water waveguide using a dispersion-based geoacoustic inversion scheme. The computational capabilities provided by the project allowed us to investigate the accuracy of the inversion for different mesh sizes of the sound speed profile discretization grid. This problem suits well for volunteer computing because it can be easily decomposed into independent simpler subproblems.

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“…The module for building a software tree uses a database of previously processed text trees, which allows to significantly accelerate the construction of a program tree [5,6].…”

Section: Memory Of Constantsmentioning

confidence: 99%

Software for heterogeneous computer systems and structures of data processing systems with increased performance

Kolpakov¹,

Kropotov²

2017

Collection of Selected Papers of the III International Conference on Information Technology and Nanotechnology

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The issue of creating high-performance computing systems based on heterogeneous computer systems is topical, as the volumes of processed information, calculations and studies with large data sets are constantly increasing. The aim is to develop software design techniques heterogeneous computer data processing system. As a result, a technique has been developed for combining shaders to improve the performance of heterogeneous computations. The presented solution is supposed to be implemented as a software module for a computer system using CUDA technology.

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Parallel global optimization on GPU

Cited by 53 publications

References 27 publications

On the efficiency of nature-inspired metaheuristics in expensive global optimization with limited budget

On the efficiency of nature-inspired metaheuristics in expensive global optimization with limited budget

A Volunteer Computing Project for Solving Geoacoustic Inversion Problems

Software for heterogeneous computer systems and structures of data processing systems with increased performance

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