APEIRON: composing smart TDAQ systems for high energy physics experiments

arXiv:2607.0242912.72 citations
Predicted impact top 21% in INS-DET · last 90 daysOriginality Synthesis-oriented
AI Analysis

This work addresses the need for efficient, programmable TDAQ systems in high energy physics experiments, but the results are preliminary and lack quantitative performance comparisons.

APEIRON introduces a distributed heterogeneous processing framework for multi-FPGA systems tailored to smart TDAQ in high energy physics, demonstrated through a particle identification application for the NA62 experiment.

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.

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