Using HEP experiment workflows for the benchmarking and accounting of WLCG computing resources

Author:

Valassi Andrea,Alef Manfred,Barbet Jean-Michel,Datskova Olga,De Maria Riccardo,Fontes Medeiros Miguel,Giordano Domenico,Grigoras Costin,Hollowell Christopher,Javurkova Martina,Khristenko Viktor,Lange David,Michelotto Michele,Rinaldi Lorenzo,Sciabà Andrea,Van Der Laan Cas

Abstract

Benchmarking of CPU resources in WLCG has been based on the HEP-SPEC06 (HS06) suite for over a decade. It has recently become clear that HS06, which is based on real applications from non-HEP domains, no longer describes typical HEP workloads. The aim of the HEP-Benchmarks project is to develop a new benchmark suite for WLCG compute resources, based on real applications from the LHC experiments. By construction, these new benchmarks are thus guaranteed to have a score highly correlated to the throughputs of HEP applications, and a CPU usage pattern similar to theirs. Linux containers and the CernVM-FS filesystem are the two main technologies enabling this approach, which had been considered impossible in the past. In this paper, we review the motivation, implementation and outlook of the new benchmark suite.

Publisher

EDP Sciences

Reference43 articles.

1. Campana S., Computing challenges of the future, Update of European Strategy for Particle Physics, Grenada (2019). https://indico.cern.ch/event/808335/contributions/3365192

2. Bird I., LHC computing (WLCG): Past, present, and future, Proc. Int. School of Physics “Enrico Fermi”, Varenna (2014). https://doi.org/10.3254/978-1-61499-643-9-1

3. Bird I., WLCG status report, CERN-RRB-2019-123, WLCG RRB, October 2019. https://indico.cern.ch/event/843657/contributions/3542198

4. Sinervo P. K., Computing resources scrutiny group report, CERN-RRB-2019-080, WLCG RRB, October 2019. https://indico.cern.ch/event/843657/contributions/3542201

5. Computer benchmarking: Paths and pitfalls: The most popular way of rating computer performance can confuse as well as inform; avoid misunderstanding by asking just what the benchmark is measuring

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