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William Dally
William Dally
Bell Professor of Engineering, Stanford University; Chief Scientist, NVIDIA
Verified email at stanford.edu
Title
Cited by
Cited by
Year
Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding
S Han, H Mao, WJ Dally
arXiv preprint arXiv:1510.00149, 2015
78222015
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and< 0.5 MB model size
FN Iandola, S Han, MW Moskewicz, K Ashraf, WJ Dally, K Keutzer
arXiv preprint arXiv:1602.07360, 2016
68362016
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
55772015
Route packets, not wires: on-chip inteconnection networks
WJ Dally, B Towles
Proceedings of the 38th annual design automation conference, 684-689, 2001
46412001
Principles and practices of interconnection networks
WJ Dally, BP Towles
Elsevier, 2004
45812004
Deadlock-free message routing in multiprocessor interconnection networks
WJ Dally, CL Seitz
California Institute of Technology, 1988
29721988
EIE: Efficient inference engine on compressed deep neural network
S Han, X Liu, H Mao, J Pu, A Pedram, MA Horowitz, WJ Dally
ACM SIGARCH Computer Architecture News 44 (3), 243-254, 2016
25192016
Virtual-channel flow control
WJ Dally
IEEE Transactions on Parallel and Distributed systems 3 (2), 194-205, 1992
19451992
Exascale computing study: Technology challenges in achieving exascale systems
K Bergman, S Borkar, D Campbell, W Carlson, W Dally, M Denneau, ...
Defense Advanced Research Projects Agency Information Processing Techniques …, 2008
14612008
Performance analysis of k-ary n-cube interconnection networks
WJ Dally
IEEE transactions on Computers 39 (6), 775-785, 1990
14191990
The torus routing chip
WJ Dally, CL Seitz
Distributed computing 1 (4), 187-196, 1986
1303*1986
Digital systems engineering
WJ Dally, WJ Dally, JW Poulton
Cambridge university press, 1998
12951998
Memory access scheduling
S Rixner, WJ Dally, UJ Kapasi, P Mattson, JD Owens
ACM SIGARCH Computer Architecture News 28 (2), 128-138, 2000
12932000
The GPU computing era
J Nickolls, WJ Dally
IEEE micro 30 (2), 56-69, 2010
12692010
Trained ternary quantization
C Zhu, S Han, H Mao, WJ Dally
arXiv preprint arXiv:1612.01064, 2016
10592016
Deep gradient compression: Reducing the communication bandwidth for distributed training
Y Lin, S Han, H Mao, Y Wang, WJ Dally
arXiv preprint arXiv:1712.01887, 2017
10412017
SCNN: An accelerator for compressed-sparse convolutional neural networks
A Parashar, M Rhu, A Mukkara, A Puglielli, R Venkatesan, B Khailany, ...
ACM SIGARCH computer architecture news 45 (2), 27-40, 2017
9952017
Deadlock-free adaptive routing in multicomputer networks using virtual channels
WJ Dally, H Aoki
IEEE transactions on Parallel and Distributed Systems 4 (4), 466-475, 1993
7901993
A detailed and flexible cycle-accurate network-on-chip simulator
N Jiang, DU Becker, G Michelogiannakis, J Balfour, B Towles, DE Shaw, ...
2013 IEEE international symposium on performance analysis of systems and …, 2013
7562013
GPUs and the future of parallel computing
SW Keckler, WJ Dally, B Khailany, M Garland, D Glasco
IEEE micro 31 (5), 7-17, 2011
7432011
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