Alok Tripathy
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Alok Tripathy
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Distributed Matrix-Based Sampling for Graph Neural Network Training
Distributed-Memory Parallel Algorithms for Sparse Times Tall-Skinny-Dense Matrix Multiplication
Scalable Hash Table for NUMA Systems
Accurately and Efficiently Estimating Dynamic Point-to-Point Shortest Path
Reducing Communication in Graph Neural Network Training
Improving Scheduling for Irregular Applications with Logarithmic Radix Binning
Scalable K-Core Decomposition for Static Graphs Using a Dynamic Graph Data Structure
Logarithmic Radix Binning and Vectorized Triangle Counting
Scaling Betweenness Centrality in Dynamic Graphs
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