| GCMF: an efficient end-to-end spatial join system over large polygonal datasets on GPGPU platform D Aghajarian, S Puri, S Prasad Proceedings of the 24th ACM SIGSPATIAL international conference on advances …, 2016 | 40 | 2016 |
| Parallel processing over spatial-temporal datasets from geo, bio, climate and social science communities: A research roadmap SK Prasad, D Aghajarian, M McDermott, D Shah, M Mokbel, S Puri, ... 2017 IEEE International Congress on Big Data (BigData Congress), 232-250, 2017 | 39 | 2017 |
| Parallel grid-based colocation mining algorithms on GPUs for big spatial event data AM Sainju, D Aghajarian, Z Jiang, S Prasad IEEE Transactions on Big Data 6 (1), 107-118, 2018 | 31 | 2018 |
| A vision for GPU-accelerated parallel computation on geo-spatial datasets SK Prasad, M McDermott, S Puri, D Shah, D Aghajarian, S Shekhar, ... SIGSPATIAL Special 6 (3), 19-26, 2015 | 27 | 2015 |
| A spatial join algorithm based on a non-uniform grid technique over GPGPU D Aghajarian, SK Prasad Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances …, 2017 | 21 | 2017 |
| A cooperative single target tracking algorithm using binary sensor networks D Aghajarian, R Berangi 2008 International Symposium on Telecommunications, 751-757, 2008 | 3 | 2008 |
| A fast distributed target tracking algorithm for low density binary sensor networks D Aghajarian, R Berangi 2008 Second International Conference on Sensor Technologies and Applications …, 2008 | 3 | 2008 |
| MPI-GIS: High Performance Computing and IO for Spatial Overlay and Join S Puri, D Aghajarian, S Prasad The International Conference for High Performance Computing, Networking …, 2016 | 2 | 2016 |
| Connected-Dense-Connected Subgraphs in Triple Networks D Shah, Y Wu, S Prasad, D Aghajarian arXiv preprint arXiv:2011.09408, 2020 | | 2020 |
| A Heterogeneous High Performance Computing Framework For Ill-Structured Spatial Join Processing D Aghajarian | | 2018 |
