PhD Thesis

Fast Parallel Algorithms and Library for Spatial Clustering and Computational Geometry

Publications

ParGeo: A Library for Parallel Computational Geometry

ParChain: A Framework for Parallel Hierarchical Agglomerative Clustering using Nearest-Neighbor Chain

POSTER: ParGeo: A Library for Parallel Computational Geometry

GeoGraph: A Framework for Graph Processing on Geometric Data

Fast Parallel Algorithms for Euclidean Minimum Spanning Tree and Hierarchical Spatial Clustering

A Parallel Batch-Dynamic Data Structure for the Closest Pair Problem

Theoretically Efficient and Practical Parallel DBSCAN

Randomized Algorithms Accelerated over CPU-GPU for Ultra-High Dimensional Similarity Search

Extreme Classification in Log Memory using Count-Min Sketch: A Case Study of Amazon Search with 50M Products