A Survey on GPU Techniques in Astronomical Data Processing

Author

Meng Xiao ; Hui Deng ; Feng Wang ; Kaifan Ji

Author_Institution

Comput. Technol. Applic. Key Lab. of Yunnan Province, Kunming Univ. of Sci. & Technol., Kunming, China

fYear

2013

fDate

14-15 Dec. 2013

Firstpage

206

Lastpage

209

Abstract

When GeForce256 was issued in 1999, NVIDIA first proposes the concept of GPU (Graphics Processor Unit), and then a large number of complex application requirements make the whole industry flourishing. This paper first presents the development of GPU, and then briefly introduces and compares two popular development platform of GPU: CUDA (Compute Unified Device Architecture) C and OpenCL (Open Computing Language), and finally summarizes the successful applications of GPU computing in astronomy. And in the conclusions, it also presents that the problems about branch prediction capability, the larger cache and shared memory and the thread particle size may be solved in the further research about GPU computing.

Keywords

application program interfaces; astronomy computing; graphics processing units; parallel architectures; API; CUDA; Compute Unified Device Architecture; GPU computing; Open Computing Language; OpenCL; application program interface; astronomical data processing; branch prediction capability; cache memory; graphics processor unit; shared memory; thread particle size; Acceleration; Astronomy; Classification algorithms; Computer architecture; Graphics processing units; Hardware; Parallel processing; CUDA; GPU; NVIDIA; OpenCL; astronomy;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Sciences and Applications (CSA), 2013 International Conference on

Conference_Location

Wuhan

Type

conf

DOI

10.1109/CSA.2013.55

Filename

6835581