3 papers
cs.DC2019
Machine Learning Pipelines with Modern Big Data Tools for High Energy Physics
Matteo Migliorini, Riccardo Castellotti, Luca Canali +1
The effective utilization at scale of complex machine learning (ML) techniques for HEP use cases poses several technological challenges, most importantly on the actual implementati…
cs.DC2019
Using Big Data Technologies for HEP Analysis
Matteo Cremonesi, Claudio Bellini, Bianny Bian +17
The HEP community is approaching an era were the excellent performances of the particle accelerators in delivering collision at high rate will force the experiments to record a lar…
cs.DC2017
CMS Analysis and Data Reduction with Apache Spark
Oliver Gutsche, Luca Canali, Illia Cremer +12
Experimental Particle Physics has been at the forefront of analyzing the world's largest datasets for decades. The HEP community was among the first to develop suitable software an…