134 citations · 316 across the 37 of their papers we have counts for
38 papers
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…
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…
Unsupervised sleep-like intra- and inter-layer plasticity categorizes and improves energy efficiency in a multilayer spiking network
Leonardo Tonielli, Cosimo Lupo, Elena Pastorelli +4
Sleep is thought to support memory consolidation and the recovery of optimal energetic regime by reorganizing synaptic connectivity, yet how plasticity across hierarchical brain ci…
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…
Scalable Construction of Spiking Neural Networks using up to thousands of GPUs
Bruno Golosio, Gianmarco Tiddia, José Villamar +10
Diverse scientific and engineering research areas deal with discrete, time-stamped changes in large systems of interacting delay differential equations. Simulating such complex sys…
Real-Time Motion Correction in Magnetic Resonance Spectroscopy: AI solution inspired by fundamental science
Benedetta Argiento, Alberto Annovi, Silvia Capuani +18
Magnetic Resonance Spectroscopy (MRS) is a powerful non-invasive tool for metabolic tissue analysis but is often degraded by patient motion, limiting clinical utility. The RECENTRE…
Two-compartment neuronal spiking model expressing brain-state specific apical-amplification, -isolation and -drive regimes
Elena Pastorelli, Alper Yegenoglu, Nicole Kolodziej +5
Mounting experimental evidence suggests that brain-state-specific neural mechanisms, supported by connectomic architectures, play a crucial role in integrating past and contextual…
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…
NREM and REM: cognitive and energetic gains in thalamo-cortical sleeping and awake spiking model
Chiara De Luca, Leonardo Tonielli, Elena Pastorelli +8
Sleep is essential for learning and cognition, but the mechanisms by which it stabilizes learning, supports creativity, and manages the energy consumption of networks engaged in po…
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…
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…
Simulations Approaching Data: Cortical Slow Waves in Inferred Models of the Whole Hemisphere of Mouse
Cristiano Capone, Chiara De Luca, Giulia De Bonis +11
Thanks to novel, powerful brain activity recording techniques, we can create data-driven models from thousands of recording channels and large portions of the cortex, which can imp…
Fast simulations of highly-connected spiking cortical models using GPUs
Bruno Golosio, Gianmarco Tiddia, Chiara De Luca +3
Over the past decade there has been a growing interest in the development of parallel hardware systems for simulating large-scale networks of spiking neurons. Compared to other hig…
Performance and energy footprint assessment of FPGAs and GPUs on HPC systems using Astrophysics application
David Goz, Georgios Ieronymakis, Vassilis Papaefstathiou +7
New challenges in Astronomy and Astrophysics (AA) are urging the need for a large number of exceptionally computationally intensive simulations. "Exascale" (and beyond) computation…
Direct constraints on ultra-light boson mass from searches for continuous gravitational waves
Cristiano Palomba, Sabrina D'Antonio, Pia Astone +10
\textit{Superradiance} can trigger the formation of an ultra-light boson cloud around a spinning black hole. Once formed, the boson cloud is expected to emit a nearly periodic, lon…
Scaling of a large-scale simulation of synchronous slow-wave and asynchronous awake-like activity of a cortical model with long-range interconnections
Elena Pastorelli, Cristiano Capone, Francesco Simula +4
Cortical synapse organization supports a range of dynamic states on multiple spatial and temporal scales, from synchronous slow wave activity (SWA), characteristic of deep sleep or…
Real-time cortical simulations: energy and interconnect scaling on distributed systems
Francesco Simula, Elena Pastorelli, Pier Stanislao Paolucci +11
We profile the impact of computation and inter-processor communication on the energy consumption and on the scaling of cortical simulations approaching the real-time regime on dist…
Large Scale Low Power Computing System - Status of Network Design in ExaNeSt and EuroExa Projects
Roberto Ammendola, Andrea Biagioni, Fabrizio Capuani +10
The deployment of the next generation computing platform at ExaFlops scale requires to solve new technological challenges mainly related to the impressive number (up to 10^6) of co…
The Brain on Low Power Architectures - Efficient Simulation of Cortical Slow Waves and Asynchronous States
Roberto Ammendola, Andrea Biagioni, Fabrizio Capuani +10
Efficient brain simulation is a scientific grand challenge, a parallel/distributed coding challenge and a source of requirements and suggestions for future computing architectures.…
Gaussian and exponential lateral connectivity on distributed spiking neural network simulation
Elena Pastorelli, Pier Stanislao Paolucci, Francesco Simula +10
We measured the impact of long-range exponentially decaying intra-areal lateral connectivity on the scaling and memory occupation of a distributed spiking neural network simulator…
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…
Impact of exponential long range and Gaussian short range lateral connectivity on the distributed simulation of neural networks including up to 30 billion synapses
Elena Pastorelli, Pier Stanislao Paolucci, Roberto Ammendola +7
Recent experimental neuroscience studies are pointing out the role of long-range intra-areal connectivity that can be modeled by a distance dependent exponential decay of the synap…