Hyperloop -- The ALICE analysis train system for Run 3
Raquel Quishpe, Jan Fiete Grosse-Oetringhaus, Raluca Cruceru and, Costin Grigoras

TL;DR
The paper presents Hyperloop, an upgraded analysis train system for ALICE's Run 3 data, enhancing efficiency, usability, and scalability for large-scale high-energy physics data analysis.
Contribution
It introduces Hyperloop, a modernized analysis train infrastructure with improved UI, automation, and data processing capabilities for ALICE's Run 3.
Findings
Successfully submitted 800 Hyperloop trains to the Grid
Enhanced UI with modern web tools
Prepared for two orders of magnitude increase in data
Abstract
ALICE analyses mostly deal with large datasets using the distributed Grid infrastructure. In LHC running periods 1 and 2, ALICE developed a system of analysis trains (so-called LEGO trains) that allowed the user to configure analysis tasks (called wagons) that run on the same data. The LEGO train system builds upon existing tools: the ALICE analysis framework as well as the Grid submission and monitoring infrastructure. This centralized system improved the resource utilization and provided a graphical user interface (UI), in addition to bookkeeping functionalities. Currently, 90 of ALICE analyses use the train system. The ongoing major upgrade for LHC Run 3 will enable the experiment to cope with an increase of Pb-Pb collision data of two orders of magnitude compared to the Run 1 and 2 data-taking periods. In order to process this unprecedented data sample, a new computing…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
