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Dipanjan Sengupta
Dipanjan Sengupta
Research Scientist, Intel Labs
Verified email at intel.com - Homepage
Title
Cited by
Cited by
Year
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
1112015
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
842016
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
542019
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
532014
Evograph: On-the-fly efficient mining of evolving graphs on gpu
D Sengupta, SL Song
High Performance Computing: 32nd International Conference, ISC High …, 2017
442017
Multi-tenancy on GPGPU-based servers
D Sengupta, R Belapure, K Schwan
Proceedings of the 7th international workshop on Virtualization technologies …, 2013
372013
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
222015
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
182018
Method and apparatus for an improved workflow for digital image editing
S Bansal, D Sengupta
US Patent 8,655,112, 2014
132014
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
102018
Technologies for performing stochastic similarity searches in an online clustering space
M Tepper, D Sengupta, S Dongaonkar, C Chauhan, J Khan, T Willke, ...
US Patent 11,604,834, 2023
72023
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
72018
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
62015
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
52019
Similarity search using guided reinforcement learning
NK Ahmed, D Sengupta, T Anderson, T Willke
US Patent App. 16/914,302, 2020
42020
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
32022
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
32018
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
22022
Technologies for performing random sparse lifting and procrustean orthogonal sparse hashing using column read-enabled memory
M Tepper, D Sengupta, S Dongaonkar, C Chauhan, J Khan, T Willke, ...
US Patent App. 16/867,948, 2020
22020
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
22018
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