23 citations · 32 across the 10 of their papers we have counts for
5 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…
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…
Smart caching in a Data Lake for High Energy Physics analysis
Tommaso Tedeschi, Diego Ciangottini, Marco Baioletti +4
The continuous growth of data production in almost all scientific areas raises new problems in data access and management, especially in a scenario where the end-users, as well as…
Rucio - Scientific data management
Martin Barisits, Thomas Beermann, Frank Berghaus +27
Rucio is an open-source software framework that provides scientific collaborations with the functionality to organize, manage, and access their data at scale. The data can be distr…