Publication detail
Parallel dynamic solidification model of continuous steel casting on GPU
KLIMEŠ, L. ŠTĚTINA, J.
Czech title
Paralelní dynamický solidifikační model plynulého odlévání oceli na GPU
English title
Parallel dynamic solidification model of continuous steel casting on GPU
Type
conference paper
Language
en
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.
Czech abstract
Dynamické solidifikační modely jsou dnes běžně používané v ocelárnách a hutních provozech po celém světě k řízení a monitoring plynulého odlévání oceli. Tyto modely jsou rovněž často používány pro optimalizaci výrobního procesu, on-line regulaci nebo umožňují řešit poruchové situace. Z důvodu vysoké výpočetní náročnosti je možné pro vývoj těchto modelů použít paralelizaci na grafických kartách, tzv. GPGPU, která nabízí výrazně vyšší výpočetní výkon ve srovnání s CPU. Příspěvek popisuje implementaci paralelního solidifikačního modelu s využítím architektury CUDA and grafických karet NVIDIA. Srovnání mezi použitím běžných CPU modelů a vyvinutého GPU modelu je prezentováno a výsledky potvrzují, že GPGPU přístup může významně zlepšit výpočetní výkon solidifikačních modelů a jejich dalšího efektivního využití. 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.
English 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 in Czech
dynamický solidifikační model, plynulé odlévání, GPU, GPGPU, paralelní výpočty
Keywords in English
dynamic solidification model, continuous casting, GPU, GPGPU, parallel computing
RIV year
2013
Released
15.05.2013
Publisher
Tanger, s.r.o.
Location
Ostrava
ISBN
978-80-87294-39-0
Book
Conference proceedings of 22nd Conference on metallurgy and materials
Edition number
1
Pages from–to
34–39
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",
month="May",
pages="34--39",
publisher="Tanger, s.r.o.",
address="Ostrava",
isbn="978-80-87294-39-0"
}