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Alok Tripathy
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Reducing Communication in Graph Neural Network Training
A Tripathy, K Yelick, A Buluc
SC20: International Conference for High Performance Computing, Networking …, 2020
1332020
Logarithmic Radix Binning and Vectorized Triangle Counting
O Green, J Fox, A Watkins, A Tripathy, K Gabert, E Kim, X An, K Aatish, ...
2018 IEEE High Performance extreme Computing Conference (HPEC), 1-7, 2018
262018
Distributed-memory parallel algorithms for sparse times tall-skinny-dense matrix multiplication
O Selvitopi, B Brock, I Nisa, A Tripathy, K Yelick, A Buluç
Proceedings of the ACM International Conference on Supercomputing, 431-442, 2021
212021
Scalable K-Core Decomposition for Static Graphs Using a Dynamic Graph Data Structure
A Tripathy, F Hohman, DH Chau, O Green
IEEE International Conference on Big Data, 2018
192018
Improving Scheduling for Irregular Applications with Logarithmic Radix Binning
J Fox, A Tripathy, O Green
2019 IEEE High Performance Extreme Computing Conference (HPEC), 2019
62019
Scaling Betweenness Centrality in Dynamic Graphs
A Tripathy, O Green
IEEE Proc. High Performance Extreme Computing (HPEC), Waltham, MA, 2018
42018
Sparsity-aware communication for distributed graph neural network training
U Mukhopadhyay, A Tripathy, O Selvitopi, K Yelick, A Buluc
Proceedings of the 53rd International Conference on Parallel Processing, 117-126, 2024
22024
Distributed Matrix-Based Sampling for Graph Neural Network Training
A Tripathy, K Yelick, A Buluc
Proceedings of Machine Learning and Systems, arXiv preprint arXiv:2311.02909, 2023
12023
Approximately and Efficiently Estimating Dynamic Point-to-Point Shortest Path
A Tripathy, O Green
2020 IEEE International Conference on Big Data (Big Data) BigGraphs Workshop …, 2020
12020
Scalable Hash Table for NUMA Systems
A Tripathy, O Green
arXiv preprint arXiv:2104.00792, 2021
2021
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Articles 1–10