Följ
John Tran
John Tran
Verifierad e-postadress på nvidia.com
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Learning both weights and connections for efficient neural network
S Han, J Pool, J Tran, W Dally
Advances in neural information processing systems 28, 2015
73152015
cudnn: Efficient primitives for deep learning
S Chetlur, C Woolley, P Vandermersch, J Cohen, J Tran, B Catanzaro, ...
arXiv preprint arXiv:1410.0759, 2014
22032014
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
2322016
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
1212005
All-Frequency Relighting of Non-Diffuse Objects using Separable BRDF Approximation.
R Wang, J Tran, DP Luebke
Rendering Techniques, 345-354, 2004
1172004
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, ...
arXiv preprint arXiv:1607.04381 3 (6), 2016
902016
cuDNN: Efficient primitives for deep learning. CoRR abs/1410.0759 (2014)
S Chetlur, C Woolley, P Vandermersch, J Cohen, J Tran, B Catanzaro, ...
arXiv preprint arXiv:1410.0759, 2014
582014
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
532014
All-frequency relighting of glossy objects
R Wang, J Tran, D Luebke
ACM Transactions on Graphics (TOG) 25 (2), 293-318, 2006
532006
Parallel support vector machines in practice
S Tyree, JR Gardner, KQ Weinberger, K Agrawal, J Tran
arXiv preprint arXiv:1404.1066, 2014
312014
New challenges for cellular automata simulation on the GPU
J Tran, D Jordan, D Luebke
SIGGRAPH, Los Angeles. ACM. Poster, 2004
282004
Indirectly accessing sample data to perform multi-convolution operations in a parallel processing system
JC WOOLLEY, J Tran
US Patent 10,255,547, 2019
262019
Inline data inspection for workload simplification
JM Pool, A Kerr, J Tran, MY Siu, S Oberman
US Patent 10,503,507, 2019
122019
Managing data sparsity for neural networks
J Pool, G Venkatesh, JA Latorre, J Choquette, R Krashinsky, J Tran, F Xie, ...
US Patent 11,392,829, 2022
112022
Sense amp design in SOI
M Golden, J Tran, B McGee, B Kuo
2005 IEEE International SOI Conference Proceedings, 118-120, 2005
92005
Inline data inspection for workload simplification
JM Pool, A Kerr, J Tran, MY Siu, S Oberman
US Patent App. 18/112,923, 2023
62023
CUTLASS: CUDA Template Library for Dense Linear Algebra at all levels and scales
A Kerr, D Merrill, J Demouth, J Tran, N Farooqui, M Tavenrath, V Schuster, ...
Mar, 2018
32018
Proceedings of Eurographics Symposium on Rendering
L Wang, J Tran, D Luebke
32004
Kernel fusion for machine learning
A Kerr, M Murphy, M Hagog, J Demouth, J Tran
US Patent App. 16/591,306, 2021
22021
IOAgent: Leveraging the Application Analysis of Workload Effects
S Gómez-Villamor, J Tran, S Rees, V Muntés-Mulero, JL Larriba-Pey
Technical Report UPC-DAC-RR-2005-49, Department of Computer Architecture …, 2005
22005
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Artiklar 1–20