Blaze: A High performance Big Data Computing System for High Energy Physics

L Xia, W Sun, X Liu, G Sun, X Jiang - Journal of Physics …, 2023 - iopscience.iop.org
High energy physics (HEP) is moving towards extremely high statistical experiments and
super-large-scale simulation of theory. In order to handle the challenge of rapid growth of …

Declarative big data analysis for high-energy physics: TOTEM use case

V Avati, M Blaszkiewicz, E Bocchi, L Canali… - Euro-Par 2019: Parallel …, 2019 - Springer
Abstract The High-Energy Physics community faces new data processing challenges
caused by the expected growth of data resulting from the upgrade of LHC accelerator. These …

ScienceBox Converging to Kubernetes containers in production for on-premise and hybrid clouds for CERNBox, SWAN, and EOS

E Bocchi, L Canali, D Castro, P Kothuri… - EPJ Web of …, 2020 - epj-conferences.org
Docker containers are the de-facto standard to package, distribute, and run applications on
cloud-based infrastructures. Commercial providers and private clouds expand their offer with …

[图书][B] Developing a hybrid machine learning model for VELO upgrade track reconstruction

P Marshall - 2022 - search.proquest.com
High energy physics experiments have been processing large quantities of data for
decades. The growth of high volume data collection in industry has led to significant …

ScienceBox 2.0: Evolving the demonstrator package for CERN storage and analysis services

E Bocchi, J Desai, SA Sainz - EPJ Web of Conferences, 2024 - epj-conferences.org
With containers being the de-facto standard to package, distribute, and run applications,
Helm charts are on the rise for application deployment in managed clusters (eg, Kubernetes …