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2101.05615
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FBGEMM: Enabling High-Performance Low-Precision Deep Learning Inference
13 January 2021
D. Khudia
Jianyu Huang
Protonu Basu
Summer Deng
Haixin Liu
Jongsoo Park
M. Smelyanskiy
FedML
MQ
Re-assign community
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Papers citing
"FBGEMM: Enabling High-Performance Low-Precision Deep Learning Inference"
6 / 6 papers shown
Title
Applying Deep Learning to Ads Conversion Prediction in Last Mile Delivery Marketplace
Di Li
Xiaochang Miao
Huiyu Song
Chao Chu
Hao Xu
Mandar Rahurkar
33
0
0
14 Feb 2025
HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUs
Chengming Zhang
Shaden Smith
Baixi Sun
Jiannan Tian
Jon Soifer
Xiaodong Yu
S. Song
Yuxiong He
Dingwen Tao
30
0
0
14 Apr 2023
A Practical Stereo Depth System for Smart Glasses
Jialiang Wang
D. Scharstein
Akash Bapat
Kevin Blackburn-Matzen
Matthew Yu
...
Jan-Michael Frahm
Zijian He
Peter Vajda
Michael F. Cohen
M. Uyttendaele
MDE
22
5
0
19 Nov 2022
DreamShard: Generalizable Embedding Table Placement for Recommender Systems
Daochen Zha
Louis Feng
Qiaoyu Tan
Zirui Liu
Kwei-Herng Lai
Bhargav Bhushanam
Yuandong Tian
A. Kejariwal
Xia Hu
LMTD
OffRL
15
28
0
05 Oct 2022
Verifiable and Energy Efficient Medical Image Analysis with Quantised Self-attentive Deep Neural Networks
Rakshith Sathish
S. Khare
Debdoot Sheet
31
4
0
30 Sep 2022
Supporting Massive DLRM Inference Through Software Defined Memory
E. K. Ardestani
Changkyu Kim
Seung Jae Lee
Luoshang Pan
Valmiki Rampersad
...
Krishnakumar Nair
Maxim Naumov
Christopher Peterson
M. Smelyanskiy
Vijay Rao
BDL
31
20
0
21 Oct 2021
1