Data dependence analysis is one of the most important techniques for the exploitation of the inherent parallelism in sequential programs, but traditional automatic data dependence analysis can not manipulate the complexities of real applications.

The dependence difference inequality test for analyzing data dependencies of multi-dimensional arrays in software pipelining field is more efficient and accurate than other traditional data dependence analysis methods by using more strict inequality limitations.

Effectiveness of surrogating constraints in data dependence analysis;

This paper proposes an optimistic data consistency method according to the question about data dependence in data consistency.

Due to the presence of pixel deviation in 32-channel MMW focal plane imaging,a novel pixel calibration method based on data dependence is proposed.

By using the data correlation,this paper presents an effective approach to check redundant points from the perspective of probability and a fast surface reconstruction algorithm of the STL triangular meshes.