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Factorial approach to assessment of GPU computational efficiency in surrogate models

  • Cracow University of Technology
  • Academy of Fine Arts in Kraków

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

22 Citations (Scopus)

Abstract

Surrogate models are very useful in replacing very accurate but time-consuming huge data numerical models. The process of construction and optimization of surrogate models may require large computational power. It may be delivered by multi-core CPU or by massively multicore GPGPU. This paper presents a consistent approach to make the quantitative assessment of the computational efficiency with different hardware configurations: with one and multi-core CPU and with GPGPU card. The design of experiments factorial approach is used to analyze the obtained data. The linear main effects model with two-way interaction is identified. The results show that investing in multi-core CPU and GPGPU cards simultaneously is impractical due to negligible effects of CPU efficiency which is masked by dominated GPGPU performance.

Original languageEnglish
Title of host publicationTerotechnology
Pages157-162
Number of pages6
DOIs
Publication statusPublished - 2014
Event8th International Conference on Terotechnology - Kielce, Poland
Duration: 26 Sept 201327 Sept 2013

Publication series

NameAdvanced Materials Research
Volume874
ISSN (Print)1022-6680

Conference

Conference8th International Conference on Terotechnology
Country/TerritoryPoland
CityKielce
Period26/09/1327/09/13

Keywords

  • Design of experiments
  • Factorial approach
  • GPU
  • Surrogate models

ASJC Scopus subject areas

  • General Engineering

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