Danial Aghajarian
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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
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
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
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
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
A cooperative single target tracking algorithm using binary sensor networks
D Aghajarian, R Berangi
2008 International Symposium on Telecommunications, 751-757, 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
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
Connected-Dense-Connected Subgraphs in Triple Networks
D Shah, Y Wu, S Prasad, D Aghajarian
arXiv preprint arXiv:2011.09408, 2020
A Heterogeneous High Performance Computing Framework For Ill-Structured Spatial Join Processing
D Aghajarian
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