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A Survey on GPU Techniques in Astronomical Data Processing

Authors: Meng Xiao; Hui Deng; Feng Wang; Kaifan Ji;

A Survey on GPU Techniques in Astronomical Data Processing

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.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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