Progress report on the online processing upgrade at the NA62 experiment

TL;DR

This paper reports on the upgrade of the NA62 experiment's online processing system, introducing FPGA and GPU technologies to enhance trigger capabilities and enable real-time feature extraction for complex event selection.

Contribution

It presents the implementation of a new FPGA-based trigger processor and the development of GPU and FPGA neural network systems for real-time data processing in the NA62 experiment.

Findings

Successful deployment of FPGA trigger processor with extended features

Development of GPU system for trigger data processing

Progress in FPGA neural network implementation

Abstract

A new FPGA-based low-level trigger processor has been installed at the NA62 experiment. It is intended to extend the features of its predecessor due to a faster interconnection technology and additional logic resources available on the new platform. With the aim of improving trigger selectivity and exploring new architectures for complex trigger computation, a GPU system has been developed and a neural network on FPGA is in progress. They both process data streams from the Ring Imaging Cherenkov detector of the experiment to extract in real time high level features for the trigger logic. Description of the systems, latest developments and design flows are reported in this paper.