| Gluon: a communication-optimizing substrate for distributed heterogeneous graph analytics R Dathathri, G Gill, L Hoang, HV Dang, A Brooks, N Dryden, M Snir, ... Proceedings of the 39th ACM SIGPLAN Conference on Programming Language …, 2018 | 155 | 2018 |
| Single machine graph analytics on massive datasets using Intel optane DC persistent memory G Gill, R Dathathri, L Hoang, R Peri, K Pingali Proceedings of the VLDB Endowment 13 (8), 1304-1318, 2020 | 96 | 2020 |
| A round-efficient distributed betweenness centrality algorithm L Hoang, M Pontecorvi, R Dathathri, G Gill, B You, K Pingali, ... Proceedings of the 24th Symposium on Principles and Practice of Parallel …, 2019 | 46 | 2019 |
| Sandslash: a two-level framework for efficient graph pattern mining X Chen, R Dathathri, G Gill, L Hoang, K Pingali Proceedings of the ACM International Conference on Supercomputing, 378-391, 2021 | 41 | 2021 |
| CuSP: A Customizable Streaming Edge Partitioner for Distributed Graph Analytics L Hoang, R Dathathri, G Gill, K Pingali 2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2019 | 36 | 2019 |
| A Study of Partitioning Policies for Graph Analytics on Large-scale Distributed Platforms G Gill, R Dathathri, L Hoang, K Pingali PVLDB, 2018 | 36 | 2018 |
| Gluon-Async: A Bulk-Asynchronous System for Distributed and Heterogeneous Graph Analytics R Dathathri, G Gill, L Hoang, V Jatala, K Pingali, VK Nandivada, HV Dang, ... 2019 28th International Conference on Parallel Architectures and Compilation …, 2019 | 33 | 2019 |
| DistTC: High Performance Distributed Triangle Counting L Hoang, V Jatala, X Chen, U Agarwal, R Dathathri, G Gill, K Pingali 2019 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2019 | 32 | 2019 |
| A Lightweight Communication Runtime for Distributed Graph Analytics MS Hoang-Vu Dang, Roshan Dathathri, Gurbinder Gill, Alex Brooks, Nikoli ... International Parallel and Distributed Processing Symposium (IPDPS), 2018 | 30* | 2018 |
| A Study of Graph Analytics for Massive Datasets on Distributed Multi-GPUs V Jatala, R Dathathri, G Gill, L Hoang, VK Nandivada, K Pingali 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2020 | 21 | 2020 |
| Phoenix: A Substrate for Resilient Distributed Graph Analytics R Dathathri, G Gill, L Hoang, K Pingali Proceedings of the Twenty-Fourth International Conference on Architectural …, 2019 | 15 | 2019 |
| Efficient distribution for deep learning on large graphs L Hoang, X Chen, H Lee, R Dathathri, G Gill, K Pingali update 1050, 1, 2021 | 12 | 2021 |
| An Adaptive Load Balancer For Graph Analytical Applications on GPUs V Jatala, L Hoang, R Dathathri, G Gill, VK Nandivada, K Pingali arXiv preprint arXiv:1911.09135, 2019 | 2 | 2019 |
| An Adaptive Load Balancer For Graph Analytical Applications on GPUs V Jatala, L Hoang, R Dathathri, G Gill, VK Nandivada, K Pingali arXiv preprint arXiv:1911.09135, 2019 | 2 | 2019 |
| A Study of APIs for Graph Analytics Workloads H Lee, D Wong, L Hoang, R Dathathri, G Gill, V Jatala, D Kuck, K Pingali 2020 IEEE International Symposium on Workload Characterization (IISWC), 228-239, 2020 | 1 | 2020 |
| BatchGNN: Efficient CPU-Based Distributed GNN Training on Very Large Graphs L Hoang, RB Brufau, K Ding, B Wu arXiv preprint arXiv:2306.13814, 2023 | | 2023 |
| Accelerating graph computation with system optimizations and algorithmic design LD Hoang | | 2021 |
| Optimizing Graph Transformer Networks with Graph-based Techniques L Hoang, U Agarwal, G Gill, R Dathathri, A Seal, B Martin, K Pingali arXiv preprint arXiv:2106.08500, 2021 | | 2021 |
Keshav PingaliProfessor of Computer Science, The University of Texas at AustinVerified email at cs.utexas.edu
