Monitoring LHCb Trigger developments using nightly integration tests and a new interactive web UI
Creators
- 1. Edinburgh University, James Clerk Maxwell Building, Peter Guthrie Tait Road, Edinburgh, EH9 3FD (United Kingdom)
- 2. Laboratory for High Energy Physics (LPHE), EPFL-SB-IPHYS-LPHE BSP - Cubotron CH-1015 Lausanne (Switzerland)
Description
The LHCb Performance Regression (LHCbPR) framework allows for periodic software testing to be performed in a reproducible manner. LHCbPR provides a JavaScript based web front-end service, built atop industry standard tools such as AngularJS, Bootstrap and Django. This framework records the evolution of tests over time allowing for this data to be extracted for end-user analysis. The LHCbPR framework has been expanded to integrate the nightly testing and profiling. These developments allow for key performance metrics within the Trigger software to be monitored over time. Additionally, tests of the full physics reconstruction have been integrated into LHCbPR. These allow for tracking the effect that optimization work has on physics reconstruction performance. This presentation will describe the integration of these tests into LHCbPR as well as describing the structure and new features developed for the frontend web service.
Availability note (English)
Available from https://www.epj-conferences.org/articles/epjconf/pdf/2019/19/epjconf_chep2018_05042.pdf; https://doaj.org/article/e78c6c89058e4b1c8c15a6a23f1287beAdditional details
Identifiers
Publishing Information
- Journal Title
- EPJ. Web of Conferences
- Journal Volume
- 214
- Journal Page Range
- vp.
- ISSN
- 2100-014X
Conference
- Title
- 23. International Conference on Computing in High Energy and Nuclear Physics
- Acronym
- CHEP 2018
- Dates
- 9-13 Jul 2018
- Place
- Sofia (Bulgaria)
INIS
- Country of Publication
- France
- Country of Input or Organization
- France
- INIS RN
- 53095826
- Subject category
- S97: MATHEMATICAL METHODS AND COMPUTING;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- COMPUTER CODES; METRICS; OPTIMIZATION; PERFORMANCE; TESTING