TY - GEN
T1 - Radiative heat transfer simulation using programmable graphics hardware
AU - Takizawa, Hiroyuki
AU - Yamada, Noboru
AU - Sakai, Seigo
AU - Kobayashi, Hiroaki
PY - 2006
Y1 - 2006
N2 - To analyze physical behaviors of a thermal environment, we have to simulate several heat transfer phenomena such as heat conduction, convection, and radiation. Among those phenomena, radiative heat transfer simulation is much time-consuming. In this paper, therefore, one of acceleration techniques developed in the graphics community that exploits a graphics processing unit (GPU) is applied to the basic radiative heat transfer simulation. Implementation of the simulation on GPU makes GPU's computing power available for the most time-consuming part of the simulation, calculation of form factors between surfaces. This paper improves the computational accuracy of the radiative heat transfer simulation running on GPU, and then examines its performance, in terms of the trade-off between the execution time and computational accuracy. The experimental results clearly show that GPU co-processing can significantly accelerate the form factor calculation. Therefore, the GPU implementation is a promising approach to acceleration of the radiative transfer simulation, especially in the case where the form factor matrix becomes too large to be stored in the main memory.
AB - To analyze physical behaviors of a thermal environment, we have to simulate several heat transfer phenomena such as heat conduction, convection, and radiation. Among those phenomena, radiative heat transfer simulation is much time-consuming. In this paper, therefore, one of acceleration techniques developed in the graphics community that exploits a graphics processing unit (GPU) is applied to the basic radiative heat transfer simulation. Implementation of the simulation on GPU makes GPU's computing power available for the most time-consuming part of the simulation, calculation of form factors between surfaces. This paper improves the computational accuracy of the radiative heat transfer simulation running on GPU, and then examines its performance, in terms of the trade-off between the execution time and computational accuracy. The experimental results clearly show that GPU co-processing can significantly accelerate the form factor calculation. Therefore, the GPU implementation is a promising approach to acceleration of the radiative transfer simulation, especially in the case where the form factor matrix becomes too large to be stored in the main memory.
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U2 - 10.1109/ICIS-COMSAR.2006.70
DO - 10.1109/ICIS-COMSAR.2006.70
M3 - Conference contribution
AN - SCOPUS:33947694321
SN - 0769526136
SN - 9780769526133
T3 - Proceedings - 5th IEEE/ACIS Int. Conf. on Comput. and Info. Sci., ICIS 2006. In conjunction with 1st IEEE/ACIS, Int. Workshop Component-Based Software Eng., Softw. Archi. and Reuse, COMSAR 2006
SP - 29
EP - 37
BT - Proceedings - 5th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2006. In conjunction with 1st IEEE/ACIS International Workshop on Component-Based Software Engineering, S
T2 - 5th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2006. In conjunction with 1st IEEE/ACIS International Workshop on Component-Based Software Engineering, Software Architecture and Reuse, COMSAR 2006
Y2 - 10 July 2006 through 12 July 2006
ER -