Pieter Noordhuis

Publication Activity (10 Years)

Years Active: 2010-2020
Publications (10 Years): 4

Top Topics

Machine Learning

Stochastic Gradient Descent

Top Venues

Proc. VLDB Endow.

Publications

Shen Li, Yanli Zhao, Rohan Varma, Omkar Salpekar, Pieter Noordhuis, Teng Li, Adam Paszke, Jeff Smith, Brian Vaughan, Pritam Damania, Soumith Chintala
PyTorch Distributed: Experiences on Accelerating Data Parallel Training. Proc. VLDB Endow. 13 (12) (2020)
Shen Li, Yanli Zhao, Rohan Varma, Omkar Salpekar, Pieter Noordhuis, Teng Li, Adam Paszke, Jeff Smith, Brian Vaughan, Pritam Damania, Soumith Chintala
PyTorch Distributed: Experiences on Accelerating Data Parallel Training. CoRR (2020)
Kim M. Hazelwood, Sarah Bird, David M. Brooks, Soumith Chintala, Utku Diril, Dmytro Dzhulgakov, Mohamed Fawzy, Bill Jia, Yangqing Jia, Aditya Kalro, James Law, Kevin Lee, Jason Lu, Pieter Noordhuis, Misha Smelyanskiy, Liang Xiong, Xiaodong Wang
Applied Machine Learning at Facebook: A Datacenter Infrastructure Perspective. HPCA (2018)
Priya Goyal, Piotr Dollár, Ross B. Girshick, Pieter Noordhuis, Lukasz Wesolowski, Aapo Kyrola, Andrew Tulloch, Yangqing Jia, Kaiming He
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour. CoRR (2017)
Pieter Noordhuis, Michiel Heijkoop, Alexander Lazovik
Mining Twitter in the Cloud: A Case Study. IEEE CLOUD (2010)