Follow
Andrew Tulloch
Andrew Tulloch
Facebook AI Research group
Verified email at fb.com - Homepage
Title
Cited by
Cited by
Year
Accurate, large minibatch sgd: Training imagenet in 1 hour
P Goyal, P Dollár, R Girshick, P Noordhuis, L Wesolowski, A Kyrola, ...
arXiv preprint arXiv:1706.02677, 2017
37212017
Machine learning at facebook: Understanding inference at the edge
CJ Wu, D Brooks, K Chen, D Chen, S Choudhury, M Dukhan, ...
2019 IEEE international symposium on high performance computer architecture …, 2019
5022019
Deep learning inference in facebook data centers: Characterization, performance optimizations and hardware implications
J Park, M Naumov, P Basu, S Deng, A Kalaiah, D Khudia, J Law, P Malani, ...
arXiv preprint arXiv:1811.09886, 2018
1962018
Accurate, large minibatch sgd: Training imagenet in 1 hour. arXiv 2017
P Goyal, P Dollár, R Girshick, P Noordhuis, L Wesolowski, A Kyrola, ...
arXiv preprint arXiv:1706.02677, 2019
932019
Software-hardware co-design for fast and scalable training of deep learning recommendation models
D Mudigere, Y Hao, J Huang, Z Jia, A Tulloch, S Sridharan, X Liu, ...
Proceedings of the 49th Annual International Symposium on Computer …, 2022
662022
High-performance, distributed training of large-scale deep learning recommendation models
D Mudigere, Y Hao, J Huang, A Tulloch, S Sridharan, X Liu, M Ozdal, ...
arXiv preprint arXiv:2104.05158, 2021
432021
Allocating information for content selection among computing resources of an online system
U Pashkevich, AJ Tulloch, D Dzhulgakov, LS Backstrom
US Patent 10,083,465, 2018
432018
High performance ultra-low-precision convolutions on mobile devices
A Tulloch, Y Jia
arXiv preprint arXiv:1712.02427, 2017
352017
On periodic functions as regularizers for quantization of neural networks
M Naumov, U Diril, J Park, B Ray, J Jablonski, A Tulloch
arXiv preprint arXiv:1811.09862, 2018
252018
Mixed-precision embedding using a cache
JA Yang, J Huang, J Park, PTP Tang, A Tulloch
arXiv preprint arXiv:2010.11305, 2020
242020
Accurate low-rank approximations via a few iterations of alternating least squares
A Szlam, A Tulloch, M Tygert
SIAM Journal on Matrix Analysis and Applications 38 (2), 425-433, 2017
132017
Hybrid composition with idleblock: more efficient networks for image recognition
B Xu, A Tulloch, Y Chen, X Yang, L Qiao
arXiv preprint arXiv:1911.08609, 2019
52019
Systems and methods for quantizing neural networks via periodic regularization functions
M Naumov, AU Diril, JS Park, B Ray, J Jablonski, AJ Tulloch
US Patent 11,468,313, 2022
32022
MTrainS: Improving DLRM training efficiency using heterogeneous memories
HT Kassa, P Johnson, J Akers, M Ghosh, A Tulloch, D Mudigere, J Park, ...
arXiv preprint arXiv:2305.01515, 2023
2023
MTrainS: Improving DLRM training efficiency using heterogeneous memories
H Tadese Kassa, P Johnson, J Akers, M Ghosh, A Tulloch, D Mudigere, ...
arXiv e-prints, arXiv: 2305.01515, 2023
2023
Dynamically allocating computing resources to identify advertisements for presentation
AJ Tulloch, SM Bowers, JIQ Candela
US Patent 11,386,451, 2022
2022
Dynamically allocating computing resources to identify advertisements for presentation
AJ Tulloch, SM Bowers, JIQ Candela
US Patent 10,438,235, 2019
2019
Accurate principal component analysis via a few iterations of alternating least squares
A Szlam, A Tulloch, M Tygert
arXiv preprint arXiv:1603.01765, 2016
2016
PMH8-SPECTRAL THEORY AND PDES
A TULLOCH
The system can't perform the operation now. Try again later.
Articles 1–19