14 citations · 32 across the 3 of their papers we have counts for
3 papers
Towards a learning-based performance modeling for accelerating Deep Neural Networks
Damiano Perri, Paolo Sylos Labini, Osvaldo Gervasi +2
Emerging applications such as Deep Learning are often data-driven, thus traditional approaches based on auto-tuners are not performance effective across the wide range of inputs us…
High Performance Computing and Computational Intelligence Applications with MultiChaos Perspective
Damiano Perri, Osvaldo Gervasi, Marco Simonetti +1
The experience of the COVID-19 pandemic, which has accelerated many chaotic processes in modern society, has highlighted in a very serious and urgent way the need to understand com…
Implementing a scalable and elastic computing environment based on Cloud Containers
Damiano Perri, Marco Simonetti, Sergio Tasso +2
In this article we look at the potential of cloud containers and we provide some guidelines for companies and organisations that are starting to look at how to migrate their legacy…