Abstract
As astronomical data grows rapidly, cross-matching between huge catalogues that contain millions or billions of celestial objects becomes a hotspot of research. In this paper, we present a parallel cross-match program, which is written in Python language and is able to make full use of multi-core processors. We explain why Python programming language is chosen and how to implement parallel computing with it. A sky splitting function HTM is selected to partition catalogues. The results of experiments prove that our program has a significant performance advantage comparing with previous functions and lays a good foundation for further statistical research and data mining.
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