2015 IEEE Pacific Visualization Symposium (PacificVis) (2015)
April 14, 2015 to April 17, 2015
Aditya Acharya , Supercomputer Education and Research Centre, Indian Institute of Science, Bangalore, India
Vijay Natarajan , Department of Computer Science and Automation, Supercomputer Education and Research Centre, Indian Institute of Science, Bangalore, India
The contour tree is a topological structure associated with a scalar function that tracks the connectivity of the evolving level sets of the function. It supports intuitive and interactive visual exploration and analysis of the scalar function. This paper describes a fast, parallel, and memory efficient algorithm for constructing the contour tree of a scalar function on shared memory systems. Comparisons with existing implementations show significant improvement in both the running time and the memory expended. The proposed algorithm is particularly suited for large datasets that do not fit in memory. For example, the contour tree for a scalar function defined on a 8.6 billion vertex domain (2048×2048×2048 volume data) can be efficiently constructed using less than 10GB of memory.
Level set, Data visualization, Memory management, Vegetation, Program processors, Algorithm design and analysis, Parallel algorithms
A. Acharya and V. Natarajan, "A parallel and memory efficient algorithm for constructing the contour tree," 2015 IEEE Pacific Visualization Symposium (PacificVis)(PACIFICVIS), Hangzhou, China, 2015, pp. 271-278.