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KLIMEŠ, L. ŠTĚTINA, J.
Original Title
Parallel dynamic solidification model of continuous steel casting on GPU
Type
conference paper
Language
English
Original Abstract
Nowadays, dynamic solidification models of continuously cast steel are commonly used in steelworks over the world to control the casting process and to monitor the steel production. Moreover, these models of transient temperature field can also be utilized for optimization of continuous casting, its on-line regulation, or may help operators to solve non-standard or breakdown situations that can occur when casting. In order to solve these problems in real time, parallel computing of dynamic solidification models can favourably be utilized. One of possible approaches is to use parallel computing on graphics processing units (GPUs) that offer a great computing performance in comparison to ordinary computing on CPUs. The paper describes an implementation of the parallel dynamic solidification model with the use of the CUDA architecture and NVIDIA GPUs. A comparison between the use of parallel and non-parallel models is presented and analysed. Results show that parallel computing on GPUs can considerably enhance the computing performance of solidification models and their use and efficiency in other tasks.
Keywords
dynamic solidification model, continuous casting, GPU, GPGPU, parallel computing
Authors
KLIMEŠ, L.; ŠTĚTINA, J.
RIV year
2013
Released
15. 5. 2013
Publisher
Tanger, s.r.o.
Location
Ostrava
ISBN
978-80-87294-39-0
Book
Conference proceedings of 22nd Conference on metallurgy and materials
Edition
první
Edition number
1
Pages from
34
Pages to
39
Pages count
6
BibTex
@inproceedings{BUT99671, author="Lubomír {Klimeš} and Josef {Štětina}", title="Parallel dynamic solidification model of continuous steel casting on GPU", booktitle="Conference proceedings of 22nd Conference on metallurgy and materials", year="2013", series="první", number="1", pages="34--39", publisher="Tanger, s.r.o.", address="Ostrava", isbn="978-80-87294-39-0" }