Accelerating Data Loading in Deep Neural Network Training

2 October 2019

Papers citing "Accelerating Data Loading in Deep Neural Network Training"

10 / 10 papers shown

Title
Understand Data Preprocessing for Effective End-to-End Training of Deep Neural Networks Ping Gong Yuxin Ma Cheng-rong Li Xiaosong Ma S. Noh 8 2 0 18 Apr 2023
Profiling and Improving the PyTorch Dataloader for high-latency Storage: A Technical Report Ivan Svogor Christian Eichenberger M. Spanring M. Neun Michael K Kopp 24 7 0 09 Nov 2022
SOLAR: A Highly Optimized Data Loading Framework for Distributed Training of CNN-based Scientific Surrogates Baixi Sun Xiaodong Yu Chengming Zhang Jiannan Tian Sian Jin K. Iskra Tao Zhou Tekin Bicer Pete Beckman Dingwen Tao 19 1 0 01 Nov 2022
NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference Attacks Nuo Xu Binghui Wang Ran Ran Wujie Wen Parv Venkitasubramaniam AAML 20 5 0 11 Jun 2022
Understanding Data Storage and Ingestion for Large-Scale Deep Recommendation Model Training Mark Zhao Niket Agarwal Aarti Basant B. Gedik Satadru Pan ... Kevin Wilfong Harsha Rastogi Carole-Jean Wu Christos Kozyrakis Parikshit Pol GNN 28 70 0 20 Aug 2021
Quantifying and Improving Performance of Distributed Deep Learning with Cloud Storage Nicholas Krichevsky M. S. Louis Tian Guo 27 9 0 13 Aug 2021
Clairvoyant Prefetching for Distributed Machine Learning I/O Nikoli Dryden Roman Böhringer Tal Ben-Nun Torsten Hoefler 31 55 0 21 Jan 2021
A divide-and-conquer algorithm for quantum state preparation Israel F. Araujo D. Park Francesco Petruccione A. J. D. Silva 16 171 0 04 Aug 2020
Faster Neural Network Training with Data Echoing Dami Choi Alexandre Passos Christopher J. Shallue George E. Dahl 17 48 0 12 Jul 2019
Optimal Distributed Online Prediction using Mini-Batches O. Dekel Ran Gilad-Bachrach Ohad Shamir Lin Xiao 177 683 0 07 Dec 2010