Speakers
Description
The Data Acquisition (DAQ) system of the Deep Underground Neutrino Experiment (DUNE) at the Sanford Underground Research Facility must receive detector data aggregated over multiple 100 Gbps Ethernet streams from the Far Detector modules front-end electronics. This contribution outlines the performance tuning and evaluation of high-performance COTS (Commercial Off-The-Shelf) readout servers, which interface with heterogeneous front-end electronics and forward detector payloads for buffering and quasi real-time processing.
We present measurements from targeted throughput studies and baselining testing campaigns that examine the readout servers and their direct interfaces under both synthetic and operational conditions. These studies aim to quantify achievable throughput and resource utilization, and identify where network, CPU, and software implementation begin to limit end-to-end performance on a single COTS server. This work is essential for defining minimum system requirements and the most power-efficient technical specifications for DUNE DAQ readout servers.
Particular focus is placed on achieving deterministic behaviour and on providing configurable parameters for threading, buffering, and processing scheduling to support varying operational requirements. The results inform ongoing DAQ software refinements and guide the technical specifications for DUNE DAQ readout servers and system topology to support the baseline 400 Gbps capable configuration.