106 citations · 123 across the 22 of their papers we have counts for
4 papers · 1 filter
The AI_INFN Platform: Artificial Intelligence Development in the Cloud
Lucio Anderlini, Giulio Bianchini, Diego Ciangottini +4
Machine Learning (ML) is profoundly reshaping the way researchers create, implement, and operate data-intensive software. Its adoption, however, introduces notable challenges for c…
Supporting the development of Machine Learning for fundamental science in a federated Cloud with the AI_INFN platform
Lucio Anderlini, Matteo Barbetti, Giulio Bianchini +7
Machine Learning (ML) is driving a revolution in the way scientists design, develop, and deploy data-intensive software. However, the adoption of ML presents new challenges for the…
Repurposing of the Run 2 CMS High Level Trigger Infrastructure as a Cloud Resource for Offline Computing
Marco Mascheroni, Antonio Perez-Calero Yzquierdo, Edita Kizinevic +8
The former CMS Run 2 High Level Trigger (HLT) farm is one of the largest contributors to CMS compute resources, providing about 25k job slots for offline computing. This CPU farm w…
Prototyping a ROOT-based distributed analysis workflow for HL-LHC: the CMS use case
Tommaso Tedeschi, Vincenzo Eduardo Padulano, Daniele Spiga +5
The challenges expected for the next era of the Large Hadron Collider (LHC), both in terms of storage and computing resources, provide LHC experiments with a strong motivation for…