New real-time correlation solar observing system based on GPU for acquiring the deep-integration magnetogram

•Real-time Solar Deep Integration Magnetogram observing system is introduced.•All functions include CT process can be finished in real time with GPU and CUDA.•Time costs of all processing modules are analyzed in details.•The system is running at Huairou Solar Observing Station (HSOS) as routine prog...

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Vydané v:New astronomy Ročník 25; s. 32 - 37
Hlavní autori: Shen, Yang-bin, Lin, Jia-ben, Ji, Kai-fan, Deng, Yuan-yong
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Elsevier B.V 01.12.2013
Predmet:
Correlation tracking
GPU
Magnetic field observation
Parallel computing
China, People's Rep
Parallel computing
Magnetic field observation
Correlation tracking
GPU
ISSN:1384-1076, 1384-1092
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Popis
Shrnutí:•Real-time Solar Deep Integration Magnetogram observing system is introduced.•All functions include CT process can be finished in real time with GPU and CUDA.•Time costs of all processing modules are analyzed in details.•The system is running at Huairou Solar Observing Station (HSOS) as routine program. A real-time correlation solar observing system (RCSOS) has been finished recently at Huairou Solar Observing Station (HSOS) in National Astronomical Observatories of China (NAOC). Graphic Processing Unit (GPU) with Compute Unified Device Architecture (CUDA) parallel programming environment is employed in this system to speed up correlation tracking (CT) process for acquiring deep integration magnetogram and improving the spatial resolution. Observers can choose an interesting area interactively for CT calculation, and then the registration and accumulation of observed images can be processed during the interval period of two images acquisition. In this paper, designing and implementation details of the system are described, and the time costs of all processing modules are analyzed as well. We conclude that the approach is very effective and successful in real-time correlation solar observation at HSOS.
Bibliografia:ObjectType-Article-1
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ISSN:1384-1076
1384-1092
DOI:10.1016/j.newast.2013.03.004