| Graphreduce: processing large-scale graphs on accelerator-based systems D Sengupta, SL Song, K Agarwal, K Schwan Proceedings of the International Conference for High Performance Computing …, 2015 | 116 | 2015 |
| Graphin: An online high performance incremental graph processing framework D Sengupta, N Sundaram, X Zhu, TL Willke, J Young, M Wolf, K Schwan Euro-Par 2016: Parallel Processing: 22nd International Conference on …, 2016 | 94 | 2016 |
| Deep graph similarity learning for brain data analysis G Ma, NK Ahmed, TL Willke, D Sengupta, MW Cole, NB Turk-Browne, ... Proceedings of the 28th ACM international conference on information and …, 2019 | 60 | 2019 |
| Scheduling multi-tenant cloud workloads on accelerator-based systems D Sengupta, A Goswami, K Schwan, K Pallavi SC'14: Proceedings of the International Conference for High Performance …, 2014 | 56 | 2014 |
| Evograph: On-the-fly efficient mining of evolving graphs on gpu D Sengupta, SL Song High Performance Computing: 32nd International Conference, ISC High …, 2017 | 47 | 2017 |
| Multi-tenancy on GPGPU-based servers D Sengupta, R Belapure, K Schwan Proceedings of the 7th international workshop on Virtualization technologies …, 2013 | 38 | 2013 |
| A framework for emulating non-volatile memory systemswith different performance characteristics D Sengupta, Q Wang, H Volos, L Cherkasova, J Li, G Magalhaes, ... Proceedings of the 6th ACM/SPEC International Conference on Performance …, 2015 | 23 | 2015 |
| Numa-caffe: Numa-aware deep learning neural networks P Roy, SL Song, S Krishnamoorthy, A Vishnu, D Sengupta, X Liu ACM Transactions on Architecture and Code Optimization (TACO) 15 (2), 1-26, 2018 | 22 | 2018 |
| Method and apparatus for an improved workflow for digital image editing S Bansal, D Sengupta US Patent 8,655,112, 2014 | 13 | 2014 |
| Similarity learning with higher-order graph convolutions for brain network analysis G Ma, NK Ahmed, T Willke, D Sengupta, MW Cole, NB Turk-Browne, ... arXiv preprint arXiv:1811.02662, 2018 | 12 | 2018 |
| Similarity learning with higher-order proximity for brain network analysis G Ma, NK Ahmed, T Willke, D Sengupta, MW Cole, N Turk-Browne, PS Yu arXiv preprint arXiv:1811.02662, 2018 | 7 | 2018 |
| Graphreduce: Large-scale graph analytics on accelerator-based hpc systems D Sengupta, K Agarwal, SL Song, K Schwan 2015 IEEE International Parallel and Distributed Processing Symposium …, 2015 | 6 | 2015 |
| Similarity search using guided reinforcement learning NK Ahmed, D Sengupta, T Anderson, T Willke US Patent App. 16/914,302, 2020 | 5 | 2020 |
| Technologies for performing in-memory training data augmentation for artificial intelligence JS Turek, D Sengupta, JB Khan, TL Willke US Patent App. 16/448,021, 2019 | 5 | 2019 |
| Technologies for performing efficient memory augmented neural network update operations D Sengupta, JB Khan, T Willke, R Coulson US Patent 11,574,172, 2023 | 4 | 2023 |
| Technologies for tuning performance and/or accuracy of similarity search using stochastic associative memories S Dongaonkar, JB Khan, C Chauhan, D Sengupta, M Tepper, T Willke, ... US Patent 11,500,887, 2022 | 4 | 2022 |
| Technology to learn and offload common patterns of memory access and computation V Vo, D Sengupta, M Tepper, JS Turek US Patent 11,403,102, 2022 | 3 | 2022 |
| Temporo-spatial collaborative filtering for parameter estimation in noisy DCE-MRI sequences: application to breast cancer chemotherapy response X Zhu, D Sengupta, A Beers, KC Jayashree, TL Willke arXiv preprint arXiv:1803.01099, 2018 | 3 | 2018 |
| Technologies for performant column read operations on clustered data in a dimm architecture J Khan, C Chauhan, R Sundaram, S Dongaonkar, S Guliani, D Sengupta, ... US Patent 11,392,494, 2022 | 2 | 2022 |
| Anatomical DCE-MRI phantoms generated from glioma patient data A Beers, K Chang, J Brown, X Zhu, D Sengupta, TL Willke, E Gerstner, ... Medical Imaging 2018: Physics of Medical Imaging 10573, 743-748, 2018 | 2 | 2018 |
