Dipanjan Sengupta
Dipanjan Sengupta
Research Scientist, Intel Labs
Verified email at - Homepage
Cited by
Cited by
Graphreduce: processing large-scale graphs on accelerator-based systems
D Sengupta, SL Song, K Agarwal, K Schwan
SC'15: Proceedings of the International Conference for High Performance …, 2015
Graphin: An online high performance incremental graph processing framework
D Sengupta, N Sundaram, X Zhu, TL Willke, J Young, M Wolf, K Schwan
European Conference on Parallel Processing, 319-333, 2016
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
Multi-tenancy on gpgpu-based servers
D Sengupta, R Belapure, K Schwan
Proceedings of the 7th international workshop on Virtualization technologies …, 2013
Evograph: On-the-fly efficient mining of evolving graphs on gpu
D Sengupta, SL Song
International Supercomputing Conference, 97-119, 2017
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
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
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
Method and apparatus for an improved workflow for digital image editing
S Bansal, D Sengupta
US Patent 8,655,112, 2014
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
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
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
Technologies for refining stochastic similarity search candidates
M Tepper, D Sengupta, J Khan, S Dongaonkar, C Chauhan, R Coulson, ...
US Patent App. 16/868,069, 2020
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
High-Performance Incremental SVM Learning on Intel $$^{\tiny {\textregistered}} $$ Xeon Phi™ Processors
D Sengupta, Y Wang, N Sundaram, TL Willke
International Supercomputing Conference, 120-138, 2017
System design principles for heterogeneous resource management and scheduling in accelerator-based systems
D Sengupta
Georgia Institute of Technology, 2016
Technology to learn and offload common patterns of memory access and computation
V Vo, D Sengupta, M Tepper, JS Turek
US Patent App. 16/914,293, 2020
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 App. 16/894,180, 2020
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 App. 16/870,003, 2020
Technologies for performing efficient memory augmented neural network update operations
D Sengupta, JB Khan, T Willke, R Coulson
US Patent App. 16/361,432, 2019
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