John Tran
John Tran
Email verificata su nvidia.com
Titolo
Citata da
Citata da
Anno
Learning both weights and connections for efficient neural network
S Han, J Pool, J Tran, W Dally
Advances in neural information processing systems, 1135-1143, 2015
28042015
cudnn: Efficient primitives for deep learning
S Chetlur, C Woolley, P Vandermersch, J Cohen, J Tran, B Catanzaro, ...
arXiv preprint arXiv:1410.0759, 2014
11632014
All-frequency interactive relighting of translucent objects with single and multiple scattering
R Wang, J Tran, D Luebke
ACM Transactions on Graphics (TOG) 24 (3), 1202-1207, 2005
1172005
All-Frequency Relighting of Non-Diffuse Objects using Separable BRDF Approximation.
R Wang, J Tran, DP Luebke
Rendering Techniques, 345-354, 2004
1102004
Dsd: Dense-sparse-dense training for deep neural networks
S Han, J Pool, S Narang, H Mao, E Gong, S Tang, E Elsen, P Vajda, ...
arXiv preprint arXiv:1607.04381, 2016
842016
DSD: regularizing deep neural networks with dense-sparse-dense training flow
S Han, J Pool, S Narang, H Mao, S Tang, E Elsen, B Catanzaro, J Tran, ...
662016
All-frequency relighting of glossy objects
R Wang, J Tran, D Luebke
ACM Transactions on Graphics (TOG) 25 (2), 293-318, 2006
482006
Rhythm: Harnessing data parallel hardware for server workloads
SR Agrawal, V Pistol, J Pang, J Tran, D Tarjan, AR Lebeck
ACM SIGPLAN Notices 49 (4), 19-34, 2014
422014
Parallel support vector machines in practice
S Tyree, JR Gardner, KQ Weinberger, K Agrawal, J Tran
arXiv preprint arXiv:1404.1066, 2014
252014
New challenges for cellular automata simulation on the GPU
J Tran, D Jordan, D Luebke
SIGGRAPH, Los Angeles. ACM. Poster, 2004
232004
Learning both weights and connections for efficient neural networks
J Tran, J Tran, J Tran, WJ Dally
Proceedings of the International Conference on Neural Information Processingá…, 2015
142015
Sense amp design in SOI
M Golden, J Tran, B McGee, B Kuo
2005 IEEE International SOI Conference Proceedings, 118-120, 2005
92005
Indirectly accessing sample data to perform multi-convolution operations in a parallel processing system
JC WOOLLEY, J Tran
US Patent 10,255,547, 2019
72019
Proceedings of Eurographics Symposium on Rendering
L Wang, J Tran, D Luebke
52004
IOAgent: Leveraging the Application Analysis of Workload Effects
S Gˇmez-Villamor, J Tran, S Rees, V MuntÚs-Mulero, JL Larriba-Pey
Technical Report UPC-DAC-RR-2005-49, Department of Computer Architectureá…, 2005
22005
IOAgent: A parallel I/O workload generator
S Gˇmez-Villamor, V MuntÚs-Mulero, M PÚrez-Casany, J Tran, S Rees, ...
European Conference on Parallel Processing, 3-14, 2006
12006
INLINE DATA INSPECTION FOR WORKLOAD SIMPLIFICATION
JM Pool, A Kerr, J Tran, MY Siu, S Oberman
US Patent App. 16/708,261, 2020
2020
Inline data inspection for workload simplification
JM Pool, A Kerr, J Tran, MY Siu, S Oberman
US Patent 10,503,507, 2019
2019
Indirectly accessing sample data to perform multi-convolution operations in a parallel processing system
JC WOOLLEY, J Tran
US Patent App. 16/365,634, 2019
2019
Senior Thesis
J Tran
2002
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
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