8 papers
ePIC Early Science Report
D. Abbott, N. Abdelrahman, S. Abhijit +781
This Early Science Report from the ePIC Collaboration outlines the compelling physics program achievable during the first years of operation of the Electron-Ion Collider (EIC), pri…
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…
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…
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…
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…
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…