2015 Seventh International Symposium on Parallel Architectures, Algorithms and Programming (PAAP) (2015)

Nanjing, China

Dec. 12, 2015 to Dec. 14, 2015

ISSN: 2168-3042

ISBN: 978-1-4673-9116-0

pp: 59-64

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/PAAP.2015.21

ABSTRACT

With the development of mobile Internet, more and more applications are associated with location. There are many applications just care about shortest distance of two points and do not care about the paths, such as take-away applications. The problem of shortest distance query of objects has caught many researchers' attention in recent years. One of solutions is pre-computation. We can select representative node for each node in graph, and approximation shortest distance of two nodes can be obtained by computing the distance between their representative nodes. The distance between any two representative nodes is pre-computed. In this paper, we propose a more effective algorithm to select representative such that the number of representatives is less than random algorithm, and we use parallel approach to compute the shortest distance between representatives and optimize the data struct to reduce the memory cost of distance result. We evaluate our approach on a real data set. The evaluation result shows the size of representative nodes are less than random algorithm, and the computing time and memory cost reduce effectively.

INDEX TERMS

Roads, Approximation algorithms, Memory management, Program processors, Global Positioning System, Real-time systems, Acceleration

CITATION

Huimin Liu,
Qiang Fu,
Yinghua Zhou,
"Parallel and Improvement of Pre-computation Technique for Approximation Shortest Distance Query",

*2015 Seventh International Symposium on Parallel Architectures, Algorithms and Programming (PAAP)*, vol. 00, no. , pp. 59-64, 2015, doi:10.1109/PAAP.2015.21CITATIONS