Parallelization of Reliability-based Design Optimization using Surrogates

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F17%3A00313043" target="_blank" >RIV/68407700:21110/17:00313043 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.ctresources.info/ccp/paper.html?id=9247" target="_blank" >http://www.ctresources.info/ccp/paper.html?id=9247</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.4203/ccp.111.25" target="_blank" >10.4203/ccp.111.25</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Parallelization of Reliability-based Design Optimization using Surrogates

Popis výsledku v původním jazyce

This paper focuses on a reduction of the computational effort spent on the RBDO using several implementation tricks and parallelization techniques. Note that no solution is optimal; the selection of the final version is dependent not only on the computational speed but also limitations imposed by available memory. Since the used novel reliability assessment techniques can dramatically differ in obtained precision and computational demands, the pure Monte Carlo method is used to provide unified results for the application of surrogates. The profiling of the code shows two main bottlenecks: (i) enumeration of interpoint distances needed to compute values of radial basis functions and (ii) a solution of linear systems of equations to fit the surrogates. Several possible versions of the implementation of the first issue are proposed and tested on a classical RBDO example and parallelization efficiency and memory demands are presented.

Název v anglickém jazyce

Parallelization of Reliability-based Design Optimization using Surrogates

Popis výsledku anglicky

This paper focuses on a reduction of the computational effort spent on the RBDO using several implementation tricks and parallelization techniques. Note that no solution is optimal; the selection of the final version is dependent not only on the computational speed but also limitations imposed by available memory. Since the used novel reliability assessment techniques can dramatically differ in obtained precision and computational demands, the pure Monte Carlo method is used to provide unified results for the application of surrogates. The profiling of the code shows two main bottlenecks: (i) enumeration of interpoint distances needed to compute values of radial basis functions and (ii) a solution of linear systems of equations to fit the surrogates. Several possible versions of the implementation of the first issue are proposed and tested on a classical RBDO example and parallelization efficiency and memory demands are presented.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20102 - Construction engineering, Municipal and structural engineering

Projekt

<a href="/cs/project/GA15-07299S" target="_blank" >GA15-07299S: Numerické nástroje pro návrh robustních a optimalizovaných experimentů</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the Fifth International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering

ISBN

978-1-905088-66-9

ISSN

—

e-ISSN

1759-3433

Počet stran výsledku

16

Strana od-do

1-16

Název nakladatele

Civil-Comp Press Ltd

Místo vydání

Stirling

Místo konání akce

Pécs

Datum konání akce

30. 5. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—