Reducing Communication in Graph Neural Network Training A Tripathy, K Yelick, A Buluc SC20: International Conference for High Performance Computing, Networking …, 2020 | 104 | 2020 |
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 | 23 | 2018 |
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 | 16 | 2021 |
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 | 15 | 2018 |
Improving Scheduling for Irregular Applications with Logarithmic Radix Binning J Fox, A Tripathy, O Green 2019 IEEE High Performance Extreme Computing Conference (HPEC), 2019 | 6 | 2019 |
Scaling Betweenness Centrality in Dynamic Graphs A Tripathy, O Green IEEE Proc. High Performance Extreme Computing (HPEC), Waltham, MA, 2018 | 3 | 2018 |
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 | 1 | 2023 |
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 | 1 | 2020 |
Scalable Hash Table for NUMA Systems A Tripathy, O Green arXiv preprint arXiv:2104.00792, 2021 | | 2021 |