Shubho Sengupta
Shubho Sengupta
Facebook AI Research
Verified email at alumni.stanford.edu - Homepage
TitleCited byYear
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
11332016
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
8502014
Parallel prefix sum (scan) with CUDA
M Harris, S Sengupta, JD Owens
GPU gems 3 (39), 851-876, 2007
8152007
Scan primitives for GPU computing
S Sengupta, M Harris, Y Zhang, JD Owens
Graphics hardware 2007, 97-106, 2007
7072007
Fast BVH construction on GPUs
C Lauterbach, M Garland, S Sengupta, D Luebke, D Manocha
Computer Graphics Forum 28 (2), 375-384, 2009
4302009
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
2112006
Deep voice: Real-time neural text-to-speech
SÖ Arik, M Chrzanowski, A Coates, G Diamos, A Gibiansky, Y Kang, X Li, ...
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
2072017
Real-time parallel hashing on the GPU
DA Alcantara, A Sharf, F Abbasinejad, S Sengupta, M Mitzenmacher, ...
ACM Transactions on Graphics (TOG) 28 (5), 154, 2009
1862009
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
168*2014
Efficient parallel scan algorithms for GPUs
S Sengupta, M Harris, M Garland
NVIDIA, Santa Clara, CA, Tech. Rep. NVR-2008-003 1 (1), 1-17, 2008
1512008
A work-efficient step-efficient prefix sum algorithm
S Sengupta, AE Lefohn, JD Owens
Workshop on edge computing using new commodity architectures, 26-27, 2006
962006
Resolution-matched shadow maps
AE Lefohn, S Sengupta, JD Owens
ACM Transactions on Graphics (TOG) 26 (4), 20, 2007
842007
Exploring sparsity in recurrent neural networks
S Narang, E Elsen, G Diamos, S Sengupta
arXiv preprint arXiv:1704.05119, 2017
742017
Scientific computing with multicore and accelerators
J Kurzak, DA Bader, J Dongarra
CRC Press, 2010
642010
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
572009
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
542007
GPU Gems3
M Harris
Parallel Prefix Sum (Scan) with CUDA, 2007
472007
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
422016
Efficient parallel scan algorithms for many-core gpus
S Sengupta, M Harris, M Garland, JD Owens
Scientific Computing with Multicore and Accelerators, 413-442, 2011
402011
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
392012
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