Mirco Tracolli

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 10

Top Topics

High Energy Physics

Top Venues

Publications

Tommaso Tedeschi, Vincenzo Eduardo Padulano, Daniele Spiga, Diego Ciangottini, Mirco Tracolli, Enric Tejedor Saavedra, Enrico Guiraud, Massimo Biasotto
Prototyping a ROOT-based distributed analysis workflow for HL-LHC: The CMS use case. Comput. Phys. Commun. 295 (2024)
Tommaso Tedeschi, Marco Baioletti, Diego Ciangottini, Valentina Poggioni, Daniele Spiga, Loriano Storchi, Mirco Tracolli
Smart Caching in a Data Lake for High Energy Physics Analysis. J. Grid Comput. 21 (3) (2023)
Alfredo Navarra, Giuseppe Prencipe, Samuele Bonini, Mirco Tracolli
Scattering with Programmable Matter. AINA (1) (2023)
Tommaso Tedeschi, Vincenzo Eduardo Padulano, Daniele Spiga, Diego Ciangottini, Mirco Tracolli, Enric Tejedor Saavedra, Enrico Guiraud, Massimo Biasotto
Prototyping a ROOT-based distributed analysis workflow for HL-LHC: the CMS use case. CoRR (2023)
Tommaso Tedeschi, Diego Ciangottini, Marco Baioletti, Valentina Poggioni, Daniele Spiga, Loriano Storchi, Mirco Tracolli
Smart caching in a Data Lake for High Energy Physics analysis. CoRR (2022)
Mirco Tracolli, Marco Baioletti, Valentina Poggioni, Daniele Spiga
Effective Big Data Caching through Reinforcement Learning. ICMLA (2020)
Mirco Tracolli, Marco Baioletti, Valentina Poggioni, Daniele Spiga
Caching Suggestions Using Reinforcement Learning. LOD (1) (2020)
Mirco Tracolli, Marco Baioletti, Diego Ciangottini, Valentina Poggioni, Daniele Spiga
An Intelligent Cache Management for Data Analysis at CMS. ICCSA (2) (2020)
Mirco Tracolli
Evolutionary Algorithms with Neural Networks to optimize Big Data Cache. DC@AI*IA (2018)
Marco Baioletti, Gabriele Di Bari, Valentina Poggioni, Mirco Tracolli
Can Differential Evolution Be an Efficient Engine to Optimize Neural Networks? MOD (2017)