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

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

9 November 2022
Ivan Svogor
Christian Eichenberger
M. Spanring
M. Neun
Michael K Kopp
ArXivPDFHTML

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

4 / 4 papers shown
Title
I/O in Machine Learning Applications on HPC Systems: A 360-degree Survey
I/O in Machine Learning Applications on HPC Systems: A 360-degree Survey
Noah Lewis
J. L. Bez
Suren Byna
47
0
0
16 Apr 2024
On Efficient Training of Large-Scale Deep Learning Models: A Literature
  Review
On Efficient Training of Large-Scale Deep Learning Models: A Literature Review
Li Shen
Yan Sun
Zhiyuan Yu
Liang Ding
Xinmei Tian
Dacheng Tao
VLM
24
39
0
07 Apr 2023
Importance of Data Loading Pipeline in Training Deep Neural Networks
Importance of Data Loading Pipeline in Training Deep Neural Networks
Mahdi Zolnouri
Xinlin Li
V. Nia
41
16
0
21 Apr 2020
TorchIO: A Python library for efficient loading, preprocessing,
  augmentation and patch-based sampling of medical images in deep learning
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
135
426
0
09 Mar 2020
1