Integrating LHCb Offline Workflows on Supercomputers State of Practice
Open Access
- 7 May 2024
- journal article
- research article
- Published by EDP Sciences in EPJ Web of Conferences
- Vol. 295, 10005
Abstract
To better understand experimental conditions and performances of its experiment, the LHCb collaboration executes tens of thousands of looselycoupled and CPU-intensive Monte Carlo simulation workflows per hour. To meet the increasing LHC computing needs, funding agencies encourage the collaboration to exploit High-Performance Computing resources, and more specifically supercomputers, which offer a significant additional amount of computing resources but also come with higher integration challenges. This state-ofpractice paper outlines years of integration of LHCb simulation workflows on several supercomputers. The main contributions of this paper are: (i) an extensive description of the gap to address to run High-Energy Physics Monte Carlo simulation workflows on supercomputers; (ii) various methods and proposals to maximize the use of allocated CPU resources; (iii) a comprehensive analysis of LHCb production workflows running on diverse supercomputers.Keywords
This publication has 8 references indexed in Scilit:
- A Subset of the CERN Virtual Machine File System: Fast Delivering of Complex Software Stacks for Supercomputing Resources2022
- Harnessing HPC resources for CMS jobs using a Virtual Private NetworkEPJ Web of Conferences, 2021
- A fully unprivileged CernVM-FSEPJ Web of Conferences, 2020
- Integrating LHCb workflows on HPC resources: status and strategiesEPJ Web of Conferences, 2020
- Gaussino - a Gaudi-Based Core Simulation Framework2019
- Integration of PanDA workload management system with Titan supercomputer at OLCFJournal of Physics: Conference Series, 2015
- High-Luminosity Large Hadron Collider (HL-LHC) : Preliminary Design Report2015
- BSC-CNS Research and Supercomputing Resources2009