SMuK 2023 – wissenschaftliches Programm

Bereiche | Tage | Auswahl | Suche | Aktualisierungen | Downloads | Hilfe

HK: Fachverband Physik der Hadronen und Kerne

HK 36: Computing I

HK 36.2: Vortrag

Mittwoch, 22. März 2023, 16:00–16:15, SCH/A117

Volunteer Computing for ALICE at CERN — •Felix Hoffmann and Udo Kebschull — Goethe Universität Frankfurt

The High Luminosity LHC era at CERN will require Monte Carlo simulations to be at an even higher level of accuracy in order for them be suited for tasks such as background subtraction and filtering of rare events. In order to be able to keep up with the required amount of computational power, distributed computing approaches such as the Worldwide LHC Computing Grid (WLCG) are combined with other measures such as frequent hardware upgrades.

This publication explores ideas of novel volunteer computing frameworks in the context of ALICE which aim to allow people from all around the world to donate available computational power to further help the experiment. In this publication, two fundamentally different approaches are described and their potential analyzed: The first approach is a traditional volunteer computing approach that builds on existing BOINC infrastructure. The second approach is blockchain-based and features a novel Proof-of-Useful-Work consensus algorithm which aims to both support real-world HEP experiments with the production of required MC data and to secure the underlying blockchain infrastructure at the same time. A prototype implementation of such an algorithm in the context of the Online-Offline simulation and analysis framework ALICE uses for Run 3 is currently being developed in C++.