Profiling and Improving the PyTorch Dataloader for high-latency Storage: A Technical Report

9 November 2022

Papers citing "Profiling and Improving the PyTorch Dataloader for high-latency Storage: A Technical Report"

9 / 9 papers shown

Title
Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans Ainaz Eftekhar Alexander Sax Roman Bachmann Jitendra Malik Amir Zamir MedIm 40 294 0 11 Oct 2021
Importance of Data Loading Pipeline in Training Deep Neural Networks Mahdi Zolnouri Xinlin Li V. Nia 204 16 0 21 Apr 2020
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning Fernando Pérez-García Rachel Sparks Sébastien Ourselin MedIm LM&MA 177 430 0 09 Mar 2020
fastai: A Layered API for Deep Learning Jeremy Howard Sylvain Gugger AI4CE 104 865 0 11 Feb 2020
High Performance I/O For Large Scale Deep Learning A. Aizman Gavin Maltby Thomas Breuel 29 33 0 07 Jan 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 106 42,038 0 03 Dec 2019
Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research Krishna Murthy Jatavallabhula Edward James Smith Jean-Francois Lafleche Clement Fuji-Tsang Artem Rozantsev Wenzheng Chen Tommy Xiang Rev Lebaredian Sanja Fidler 3DPC AI4CE 48 126 0 12 Nov 2019
Accelerating Data Loading in Deep Neural Network Training Chih-Chieh Yang Guojing Cong 22 37 0 02 Oct 2019
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 998 192,638 0 10 Dec 2015