11 citations · 32 across the 10 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
cs.NE2020
Generating Efficient DNN-Ensembles with Evolutionary Computation
Marc Ortiz, Florian Scheidegger, Marc Casas +2
In this work, we leverage ensemble learning as a tool for the creation of faster, smaller, and more accurate deep learning models. We demonstrate that we can jointly optimize for a…
cs.DC2020
Reducing Data Motion to Accelerate the Training of Deep Neural Networks
Sicong Zhuang, Cristiano Malossi, Marc Casas
This paper reduces the cost of DNNs training by decreasing the amount of data movement across heterogeneous architectures composed of several GPUs and multicore CPU devices. In par…