activity
20122026
most citedMeasurement of the ratio of branching fractions

635 citations · 7.1k across the 126 of their papers we have counts for

collaborators

128 papers

physics.ins-det2026

Online Data Reduction with Spiking Neural Networks: A Temporal-Coincidence Encoder and Distributed SNN for the ePIC dRICH Detector

Pierpaolo Perticaroli, Roberto Ammendola, Andrea Biagioni +10

The dual-radiator Ring Imaging Cherenkov (dRICH) detector of the ePIC experiment at the Electron-Ion Collider (EIC) will read out 320,000 silicon photomultiplier (SiPM) chann…

cs.AR2026

AIGOR: A Modular, Event-Driven Neuromorphic Architecture for Configurable SNN Inference

Pierpaolo Perticaroli, Roberto Ammendola, Andrea Biagioni +10

Spiking neural networks (SNNs) run today on a fragmented landscape of hardware: dedicated neuromorphic processors, application-specific FPGA accelerators, and large-scale neuroscie…

physics.ins-det2026

APEIRON: composing smart TDAQ systems for high energy physics experiments

Roberto Ammendola, Andrea Biagioni, Carlotta Chiarini +12

We present APEIRON, a distributed heterogeneous processing framework comprising both hardware architecture and software stack for multi-FPGA systems. Targeting smart trigger and da…

cs.NI2026

NET4EXA: Pioneering the Future of Interconnects for Supercomputing and AI

Michele Martinelli, Roberto Ammendola, Andrea Biagioni +41

NET4EXA aims to develop a next-generation high-performance interconnect for HPC and AI systems, addressing the increasing demands of large-scale infrastructures, such as those requ…

cs.DC2023

APEIRON: composing smart TDAQ systems for high energy physics experiments

Roberto Ammendola, Andrea Biagioni, Carlotta Chiarini +11

APEIRON is a framework encompassing the general architecture of a distributed heterogeneous processing platform and the corresponding software stack, from the low level device driv…

physics.comp-ph2022★ 5 cited

Architectural improvements and technological enhancements for the APEnet+ interconnect system

R. Ammendola, A. Biagioni, O. Frezza +9

The APEnet+ board delivers a point-to-point, low-latency, 3D torus network interface card. In this paper we describe the latest generation of APEnet NIC, APEnet v5, integrated in a…