APEIRON: composing smart TDAQ systems for high energy physics experiments
2026-07-02 • Hardware Architecture
Hardware Architecture
AI summaryⓘ
The authors introduce APEIRON, a system that helps multiple FPGAs work together efficiently for tasks in physics experiments. It includes both the hardware design and software tools to manage data processing from basic drivers up to advanced programming methods. They explain how APEIRON works and show an example of using it to identify particles in the NA62 physics experiment.
FPGAdistributed systemshigh energy physicsdata acquisitionsmart triggerparticle identificationHigh-Level Synthesisdevice driversdataflow programmingNA62 experiment
Authors
Roberto Ammendola, Andrea Biagioni, Carlotta Chiarini, Andrea Ciardiello, Paolo Cretaro, Ottorino Frezza, Francesca Lo Cicero, Alessandro Lonardo, Michele Martinelli, Pier Stanislao Paolucci, Pierpaolo Perticaroli, Cristian Rossi, Francesco Simula, Matteo Turisini, Piero Vicini
Abstract
We present APEIRON, a distributed heterogeneous processing framework comprising both hardware architecture and software stack for multi-FPGA systems. Targeting smart trigger and data acquisition (TDAQ) systems in high energy physics, APEIRON spans the full software hierarchy: from low-level device drivers to a high-level dataflow programming model based on High-Level Synthesis. We describe the framework design, its core communication infrastructure, and a particle identification application for the NA62 experiment as a representative physics use case.