activity
20102026
most citedPower, Energy and Speed of Embedded and Server Multi-Cores applied to Distributed Simulation of Spiking Neural Networks: ARM in NVIDIA Tegra vs Intel Xeon quad-cores

17 citations · 23 across the 12 of their papers we have counts for

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7 papers · 1 filter

cs.DC2025

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…

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…

cs.DC2018

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…

cs.DC2018

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…

cs.DC2018

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.…

cs.DC2018

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…