activity
20102026
most citedNaNet: a flexible and configurable low-latency NIC for real-time trigger systems based on GPUs

24 citations · 153 across the 33 of their papers we have counts for

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9 papers · 1 filter

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…

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…

physics.ins-det2026★ 1 cited

Radiation tolerance tests on key components of the ePIC-dRICH readout card

S. Geminiani, B. R. Achari, N. Agrawal +60

The dual-radiator RICH (dRICH) detector of the ePIC experiment will employ over 300000 SiPM pixels as photosensors, organized into more than 1000 Photon Detection Units. Each PDU i…

physics.ins-det2022

Progress report on the online processing upgrade at the NA62 experiment

M. Turisini, R. Ammendola, A. Biagioni +10

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 tec…

physics.ins-det2016★ 1 cited

GPU-based Real-time Triggering in the NA62 Experiment

R. Ammendola, A. Biagioni, P. Cretaro +17

Over the last few years the GPGPU (General-Purpose computing on Graphics Processing Units) paradigm represented a remarkable development in the world of computing. Computing for Hi…

physics.ins-det2014

NaNet: a Low-Latency, Real-Time, Multi-Standard Network Interface Card with GPUDirect Features

A. Lonardo, F. Ameli, R. Ammendola +14

While the GPGPU paradigm is widely recognized as an effective approach to high performance computing, its adoption in low-latency, real-time systems is still in its early stages. A…