32 citations · 125 across the 20 of their papers we have counts for
6 papers · 1 filter
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…
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…
Power, 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
Pier Stanislao Paolucci, Roberto Ammendola, Andrea Biagioni +7
This short note regards a comparison of instantaneous power, total energy consumption, execution time and energetic cost per synaptic event of a spiking neural network simulator (D…