2017/12/11 by Hajij, Mustafa, Assiri, Basem, Rosen, Paul
#Computational Geometry (cs.CG) #Computer Vision and Pattern Recognition (cs.CV) #Distributed #FOS: Computer and information sciences #Machine Learning (stat.ML) #Parallel #and Cluster Computing (cs.DC)
paper · doi:10.48550/arxiv.1712.03660
The construction of Mapper has emerged in the last decade as a powerful and effective topological data analysis tool that approximates and generalizes other topological summaries, such as the Reeb graph, the contour tree, split, and joint trees. In this paper, we study the parallel analysis of the construction of Mapper. We give a provably correct parallel algorithm to execute Mapper on multiple processors and discuss the performance results that compare our approach to a reference sequential Mapper implementation. We report the performance experiments that demonstrate the efficiency of our method.