The use of graphics card and nVidia CUDA architecture in the optimization of the heat radiation intensity
Mlýnek, Jaroslav; Srb, Radek; Knobloch, Roman
- Programs and Algorithms of Numerical Mathematics, Publisher: Institute of Mathematics AS CR(Prague), page 150-155
Access Full Article
topAbstract
topHow to cite
topMlýnek, Jaroslav, Srb, Radek, and Knobloch, Roman. "The use of graphics card and nVidia CUDA architecture in the optimization of the heat radiation intensity." Programs and Algorithms of Numerical Mathematics. Prague: Institute of Mathematics AS CR, 2015. 150-155. <http://eudml.org/doc/269923>.
@inProceedings{Mlýnek2015,
abstract = {The paper focuses on the acceleration of the computer optimization of heat radiation intensity on the mould surface. The mould is warmed up by infrared heaters positioned above the mould surface, and in this way artificial leathers in the automotive industry are produced (e.g. for car dashboards). The presented heating model allows us to specify the position of infrared heaters over the mould to obtain approximately even heat radiation intensity on the whole mould surface. In this way we can obtain the uniform material structure of artificial leather. The gradient methods are not suitable to optimize the position of heaters because the minimized function contains many local extremes. Therefore, we used an evolutionary algorithm, specifically the differential evolution algorithm. In this case the optimization procedure needs a lot of operations (especially when the mould volume is large and we use a large number of heaters). A substantial acceleration of the calculation can be achieved by parallel programming using a graphic card and nVidia CUDA architecture. The numerical calculations were performed by the Matlab code written by the authors and were run on a standard PC.},
author = {Mlýnek, Jaroslav, Srb, Radek, Knobloch, Roman},
booktitle = {Programs and Algorithms of Numerical Mathematics},
keywords = {optimization; acceleration of computation; graphics card; CUDA architecture; parallel programming; differential evolution algorithm},
location = {Prague},
pages = {150-155},
publisher = {Institute of Mathematics AS CR},
title = {The use of graphics card and nVidia CUDA architecture in the optimization of the heat radiation intensity},
url = {http://eudml.org/doc/269923},
year = {2015},
}
TY - CLSWK
AU - Mlýnek, Jaroslav
AU - Srb, Radek
AU - Knobloch, Roman
TI - The use of graphics card and nVidia CUDA architecture in the optimization of the heat radiation intensity
T2 - Programs and Algorithms of Numerical Mathematics
PY - 2015
CY - Prague
PB - Institute of Mathematics AS CR
SP - 150
EP - 155
AB - The paper focuses on the acceleration of the computer optimization of heat radiation intensity on the mould surface. The mould is warmed up by infrared heaters positioned above the mould surface, and in this way artificial leathers in the automotive industry are produced (e.g. for car dashboards). The presented heating model allows us to specify the position of infrared heaters over the mould to obtain approximately even heat radiation intensity on the whole mould surface. In this way we can obtain the uniform material structure of artificial leather. The gradient methods are not suitable to optimize the position of heaters because the minimized function contains many local extremes. Therefore, we used an evolutionary algorithm, specifically the differential evolution algorithm. In this case the optimization procedure needs a lot of operations (especially when the mould volume is large and we use a large number of heaters). A substantial acceleration of the calculation can be achieved by parallel programming using a graphic card and nVidia CUDA architecture. The numerical calculations were performed by the Matlab code written by the authors and were run on a standard PC.
KW - optimization; acceleration of computation; graphics card; CUDA architecture; parallel programming; differential evolution algorithm
UR - http://eudml.org/doc/269923
ER -
Citations in EuDML Documents
topNotesEmbed ?
topTo embed these notes on your page include the following JavaScript code on your page where you want the notes to appear.