@inproceedings{06b1fb2fbcd7424389035db6bdffcbdc,
title = "Factorial approach to assessment of GPU computational efficiency in surrogate models",
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.",
keywords = "Design of experiments, Factorial approach, GPU, Surrogate models",
author = "Jacek Pietraszek and Agnieszka Szczotok and Elzbieta Kocy{\l}owska",
year = "2014",
doi = "10.4028/www.scientific.net/AMR.874.157",
language = "English",
isbn = "9783037859803",
series = "Advanced Materials Research",
pages = "157--162",
booktitle = "Terotechnology",
note = "8th International Conference on Terotechnology ; Conference date: 26-09-2013 Through 27-09-2013",
}