22 citations · 50 across the 10 of their papers we have counts for
3 papers · 1 filter
Optimal checkpointing for heterogeneous chains: how to train deep neural networks with limited memory
Julien Herrmann, Olivier Beaumont, Lionel Eyraud-Dubois +3
This paper introduces a new activation checkpointing method which allows to significantly decrease memory usage when training Deep Neural Networks with the back-propagation algorit…
Scheduling on Two Types of Resources: a Survey
Olivier Beaumont, Louis-claude Canon, Lionel Eyraud-Dubois +5
The evolution in the design of modern parallel platforms leads to revisit the scheduling jobs on distributed heterogeneous resources. The goal of this survey is to present the main…
Training on the Edge: The why and the how
Navjot Kukreja, Alena Shilova, Olivier Beaumont +4
Edge computing is the natural progression from Cloud computing, where, instead of collecting all data and processing it centrally, like in a cloud computing environment, we distrib…