Published 2020
| Version v1
Journal article
A novel centralized slow control and board management solution for ATCA blades based on the Zynq Ultrascale+ System-on-Chip
Creators
- 1. Karlsruhe Institute of Technology (Germany)
- 2. São Paulo Research and Analysis Center (Brazil)
Description
Data acquisition systems (DAQ) for high energy physics experiments utilize complex FPGAs to handle unprecedented high data rates, especially in the first stages of the data processing chain. The complexity of developing and commissioning these systems increases as additional local processing intelligence is placed closer to the detector directly on the ATCA blades. On the other hand, sophisticated slow control is as well desired. In this contribution, we introduce a novel solution for ATCA based systems, which combines the IPMI, a Linux based slow-control software, and an FPGA for custom slow-control tasks in one single Zynq Ultrascale+ (ZUS+) System-on-Chip (SoC) module.
Availability note (English)
Available from https://www.epj-conferences.org/articles/epjconf/pdf/2020/21/epjconf_chep2020_01015.pdf; https://doaj.org/article/2288f3d9f8e643678b426dce435c31e1Additional details
Identifiers
Publishing Information
- Journal Title
- EPJ. Web of Conferences
- Journal Volume
- 245
- Journal Page Range
- vp.
- ISSN
- 2100-014X
Conference
- Title
- 24. International Conference on Computing in High Energy and Nuclear Physics
- Acronym
- CHEP 2019
- Dates
- 4-8 Nov 2019
- Place
- Adelaide (Australia)
INIS
- Country of Publication
- France
- Country of Input or Organization
- France
- INIS RN
- 53090618
- Subject category
- S97: MATHEMATICAL METHODS AND COMPUTING;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- COMPUTER CODES; DATA ACQUISITION SYSTEMS; DATA BASE MANAGEMENT; DATA PROCESSING; HIGH ENERGY PHYSICS
- Descriptors DEC
- MANAGEMENT; PHYSICS; PROCESSING