RESEARCH ON HIGH PERFORMANCE GNSS NORMAL EQUATION PROCESSING METHOD BASED ON OPENMP
Yang Kai
Chongqing Institute of Surveying and Planning for Land Resources and Housing, Chongqing 400020
Abstract The whole network data processing of LargeScale GNSS reference station network can avoid the technical problems such as subnetwork division and common station selection of the subnetwork processing strategy. The number of stations whose observation data to be processed should be less than 100. The least square adjustment and SRIF are compared with each other, and then we point out that the least square adjustment is better than the later for large data processing. Further, the high performance computing methods for normal equation are researched; the existing normal equation computing methods are compared with each other, and it is pointed out that the Cholesky matrix decomposition method is better in computing efficiency. At last, the parallel Cholesky matrix decomposition method based on OPENMP is achieved, which can take full advantage of multicore/thread processor to improve the computing efficiency in personal computer platform.
Key words ：
GNSS reference station network
OPENMP
normal equation computing
data processing
number of stations
Received: 01 January 1900
Corresponding Authors:
Yang Kai
Cite this article:
Yang Kai. RESEARCH ON HIGH PERFORMANCE GNSS NORMAL EQUATION PROCESSING METHOD BASED ON OPENMP[J]. , 2013, 33(1): 141-144.
Yang Kai. RESEARCH ON HIGH PERFORMANCE GNSS NORMAL EQUATION PROCESSING METHOD BASED ON OPENMP[J]. jgg, 2013, 33(1): 141-144.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2013/V33/I1/141
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