{"ID":5676787,"CreatedAt":"2026-07-03T03:29:23.032456456Z","UpdatedAt":"2026-07-07T01:06:03.009715918Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2607.02429","arxiv_id":"2607.02429","title":"APEIRON: composing smart TDAQ systems for high energy physics experiments","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.","short_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-lev...","url_abs":"https://arxiv.org/abs/2607.02429","url_pdf":"https://arxiv.org/pdf/2607.02429v1","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\"]","published":"2026-07-02T16:59:19Z","proceeding":"physics.ins-det","tasks":"[\"physics.ins-det\",\"cs.AR\"]","methods":"[]","has_code":false}