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Improved Parallel Processing Function for High-Performance Large-Scale Astronomical Cross-Matching* (PDF)

Transactions of Tianjin University[ISSN:1006-4982/CN:12-1248/T]

Issue:
2011年01期
Page:
62-67
Publishing date:

Info

Title:
Improved Parallel Processing Function for High-Performance Large-Scale Astronomical Cross-Matching*
Author(s):
ZHAO Qing 1SUN Jizhou 1YU Ce 1XIAO Jian 1 CUI Chenzhou 2ZHANG Xiao 1
1. School of Computer Science and Technology, Tianjin University, Tianjin 300072, China; 2. National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China
Keywords:
DOI:

Abstract:
Astronomical cross-matching is a basic method for aggregating the observational data of different wave- lengths. By data aggregation, the properties of astronomical objects can be understood comprehensively. Aiming at decreasing the time consumed on I/O operations, several improved methods are introduced, including a processing flow based on the boundary growing model, which can reduce the database query operations; a concept of the biggest growing block and its determination which can improve the performance of task partition and resolve data-sparse problem; and a fast bitwise algorithm to compute the index numbers of the neighboring blocks, which is a significant efficiency guarantee. Experiments show that the methods can effectively speed up cross-matching on both sparse data- sets and high-density datasets.

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Last Update: 2011-04-07