Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Beneš Network Based Efficient Data Concentrator for Triggerless Data Acquisition Systems

Version 1 : Received: 11 February 2023 / Approved: 13 February 2023 / Online: 13 February 2023 (09:10:55 CET)

A peer-reviewed article of this Preprint also exists.

Gumiński, M.; Kruszewski, M.; Zabołotny, B.M.; Zabołotny, W.M. Beneš Network-Based Efficient Data Concentrator for Triggerless Data Acquisition Systems. Electronics 2023, 12, 1437. Gumiński, M.; Kruszewski, M.; Zabołotny, B.M.; Zabołotny, W.M. Beneš Network-Based Efficient Data Concentrator for Triggerless Data Acquisition Systems. Electronics 2023, 12, 1437.

Abstract

The concentration of data from multiple links to a single output is an essential task performed by High-Energy Physics (HEP) Data Acquisition Systems (DAQs). At high and varying data rates combined with the large width of the concentrator’s output interface, this task is non-trivial. This paper presents a concentrator based on the Beneš network, which provides efficient concentration without using a high-frequency clock internally. It warrants that empty data are eliminated and does not disturb the data time-ordering if the data rates significantly differ between inputs. Additionally, it is well suited to FPGA implementation. It is based on simple data-routing primitives and may be fully pipelined.

Keywords

FPGA; DAQ; Data concentration; Beneš network

Subject

Engineering, Electrical and Electronic Engineering

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