Shubho Sengupta
Shubho Sengupta
Facebook AI Research
Verified email at - Homepage
Cited by
Cited by
Deep speech 2: End-to-end speech recognition in english and mandarin
D Amodei, S Ananthanarayanan, R Anubhai, J Bai, E Battenberg, C Case, ...
International conference on machine learning, 173-182, 2016
Deep speech: Scaling up end-to-end speech recognition
A Hannun, C Case, J Casper, B Catanzaro, G Diamos, E Elsen, ...
arXiv preprint arXiv:1412.5567, 2014
Parallel prefix sum (scan) with CUDA
M Harris, S Sengupta, JD Owens
GPU gems 3 (39), 851-876, 2007
Scan primitives for GPU computing
S Sengupta, M Harris, Y Zhang, JD Owens
Deep voice: Real-time neural text-to-speech
SÖ Arık, M Chrzanowski, A Coates, G Diamos, A Gibiansky, Y Kang, X Li, ...
International conference on machine learning, 195-204, 2017
Fast BVH construction on GPUs
C Lauterbach, M Garland, S Sengupta, D Luebke, D Manocha
Computer Graphics Forum 28 (2), 375-384, 2009
Exploring sparsity in recurrent neural networks
S Narang, E Elsen, G Diamos, S Sengupta
arXiv preprint arXiv:1704.05119, 2017
Crypten: Secure multi-party computation meets machine learning
B Knott, S Venkataraman, A Hannun, S Sengupta, M Ibrahim, ...
Advances in Neural Information Processing Systems 34, 4961-4973, 2021
Real-time parallel hashing on the GPU
DA Alcantara, A Sharf, F Abbasinejad, S Sengupta, M Mitzenmacher, ...
ACM SIGGRAPH asia 2009 papers, 1-9, 2009
Efficient parallel scan algorithms for many-core gpus
S Sengupta, MJ Harris, M Garland, JD Owens
eScholarship, University of California, 2011
Navigating the maze of graph analytics frameworks using massive graph datasets
N Satish, N Sundaram, MMA Patwary, J Seo, J Park, MA Hassaan, ...
Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014
Glift: Generic, efficient, random-access GPU data structures
AE Lefohn, S Sengupta, J Kniss, R Strzodka, JD Owens
ACM Transactions on Graphics (TOG) 25 (1), 60-99, 2006
Large language models for software engineering: Survey and open problems
A Fan, B Gokkaya, M Harman, M Lyubarskiy, S Sengupta, S Yoo, ...
2023 IEEE/ACM International Conference on Software Engineering: Future of …, 2023
Elf opengo: An analysis and open reimplementation of alphazero
Y Tian, J Ma, Q Gong, S Sengupta, Z Chen, J Pinkerton, L Zitnick
International conference on machine learning, 6244-6253, 2019
A work-efficient step-efficient prefix sum algorithm
S Sengupta, A Lefohn, JD Owens
Persistent rnns: Stashing recurrent weights on-chip
G Diamos, S Sengupta, B Catanzaro, M Chrzanowski, A Coates, E Elsen, ...
International Conference on Machine Learning, 2024-2033, 2016
Resolution-matched shadow maps
AE Lefohn, S Sengupta, JD Owens
ACM Transactions on Graphics (TOG) 26 (4), 20-es, 2007
Building an efficient hash table on the GPU
DA Alcantara, V Volkov, S Sengupta, M Mitzenmacher, JD Owens, ...
GPU Computing Gems Jade Edition, 39-53, 2012
Out‐of‐core data management for path tracing on hybrid resources
B Budge, T Bernardin, JA Stuart, S Sengupta, KI Joy, JD Owens
Computer Graphics Forum 28 (2), 385-396, 2009
CUDPP: CUDA data parallel primitives library
M Harris, J Owens, S Sengupta, Y Zhang, A Davidson
2015-04-05]. http://code. google. com/p/cudpp, 2007
The system can't perform the operation now. Try again later.
Articles 1–20