Conveners
RDC 05 - Trigger and DAQ Parallel Session
- Alexander Paramonov (Argonne National Laboraotry)
There is increasing interest in deploying sophisticated machine learning (ML) algorithms as part of the real-time data processing and filtering systems of high throughput physics facilities such as the future High Luminosity LHC (HL-LHC). To satisfy the strict latency and data processing constraints imposed by such facilities, ML algorithms can be deployed on FPGAs to perform real-time...
SLAC has developed a library based framework that enables the deployment of machine learning (ML) models on Field Programmable Gate Arrays (FPGAs) located at the edge of the data chain, near the instrumentation. It's called the SLAC Neural Network Library (SNL), utilizes Xilinx's High-Level Synthesis (HLS) and offers an API inspired by Keras for TensorFlow. By adopting a streaming data...
Caribou is a versatile data acquisition system used in multiple collaborative frame-works (CERN EP R&D, RD50/DRD3, AIDAinnova) for both bench-top and test-beam qualification of novel silicon pixel detector prototypes. The system is built around a common hardware, firmware and software base shared across different projects, thereby drastically reducing the development effort and cost. The...
The Next Enriched Xenon Observatory (nEXO) experiment aims to search for Neutrinoless Double Beta Decay in liquid xenon. To meet the stringent scientific goals and requirements of the experiment, the nEXO Data Acquisition (DAQ) system is designed to handle high data rates, ensure precise timing, and support operations over a 10-year active measurement period at SNOLAB. The DAQ system collects...
To support larger bandwidth detector data, systems must be able to move the data directly to the processing elements with minimal software intervention. As an example, LCLS-II operation of the ePixUHR 35K detector will generate data on the order of 250GB/s at 35kHz– far more than the existing CPU-based DAQ setup can handle. Using NVIDIA’s GPUDirect RDMA technology, we implemented a low-latency...
To stream readout all the high-bandwidth detector in the High Energy Physics (HEP) and Nuclear Physics (NP) experiments is always a good wish but causes big challenge for the on-detector processing, data links and back-end electronics. The Front-End Link eXchange (FELIX) system is an interface between the detector and trigger readout electronics and commodity switched networks for the ATLAS...
