| 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 | 43 | 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 | 36 | 2019 |
| 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 | 23 | 2020 |
| Improving GPU performance through resource sharing V Jatala, J Anantpur, A Karkare Proceedings of the 25th ACM International Symposium on High-Performance …, 2016 | 14 | 2016 |
| Joint partitioning and sampling algorithm for scaling graph neural network ML Das, V Jatala, GR Gupta 2022 IEEE 29th International Conference on High Performance Computing, Data …, 2022 | 5 | 2022 |
| GREENER: a tool for improving energy efficiency of register files V Jatala, J Anantpur, A Karkare arXiv preprint arXiv:1709.04697, 2017 | 4 | 2017 |
| The more we share, the more we have: Improving GPU performance through register sharing V Jatala, J Anantpur, A Karkare arXiv preprint arXiv:1503.05694, 2015 | 4 | 2015 |
| Adopting heterogeneous computing modules: Experiences from a ToUCH summer workshop DP Bunde, K Ahmed, S Ayloo, T Brown-Gaines, J Fuentes, V Jatala, ... 2022 IEEE/ACM International Workshop on Education for High Performance …, 2022 | 3 | 2022 |
| 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 | 3 | 2019 |
| Scratchpad sharing in GPUs V Jatala, J Anantpur, A Karkare ACM Transactions on Architecture and Code Optimization (TACO) 14 (2), 1-29, 2017 | 3 | 2017 |
| 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 | 2 | 2020 |
| Scratchpad sharing in GPUs V Jatala, J Anantpur, A Karkare arXiv preprint arXiv:1607.03238, 2016 | 2 | 2016 |
| Entropy Aware Training for Fast and Accurate Distributed GNN D Deshmukh, GR Gupta, M Chawla, V Jatala, A Haldar 2023 IEEE International Conference on Data Mining (ICDM), 986-991, 2023 | 1 | 2023 |
| Reducing GPU register file energy V Jatala, J Anantpur, A Karkare European Conference on Parallel Processing, 77-91, 2018 | 1 | 2018 |
| Multivariate Time Series Data Mining for Failure Prediction & Root Cause Analysis N Agarwal, GR Gupta, V Jatala, A Saha ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and …, 2025 | | 2025 |
| Distributed Graph Neural Networks GR Gupta, DR Deshmukh, V Jatala Proceedings of the 8th International Conference on Data Science and …, 2024 | | 2024 |
| A Cluster-Based Sampler for Fast GNN SK Raut, K Tamboli, V Jatala 2024 IEEE 31st International Conference on High Performance Computing, Data …, 2024 | | 2024 |
| A Partitioning Scheme for Large Scale Clique Counting on Single GPU V Kesarwani, S Gaur, SR Sahoo, K Tamboli, V Jatala 2024 IEEE 31st International Conference on High Performance Computing, Data …, 2024 | | 2024 |
| Accelerated Multilevel Graph Partitioning on GPUs A Singh, B Dhorajiya, V Jatala 2024 IEEE 31st International Conference on High Performance Computing, Data …, 2024 | | 2024 |
| HiPC 2021 Workshop on Parallel Programming in the Exascale Era (PPEE 2021) V Kumar, S Biswas, V Jatala 2021 IEEE 28th International Conference on High Performance Computing, Data …, 2021 | | 2021 |
Roshan DathathriSenior Researcher, Microsoft ResearchVerified email at microsoft.com
