48 citations · 210 across the 25 of their papers we have counts for
9 papers · 1 filter
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 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…
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…
Scaling to 1024 software processes and hardware cores of the distributed simulation of a spiking neural network including up to 20G synapses
Elena Pastorelli, Pier Stanislao Paolucci, Roberto Ammendola +7
This short report describes the scaling, up to 1024 software processes and hardware cores, of a distributed simulator of plastic spiking neural networks. A previous report demonstr…
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…
Distributed simulation of polychronous and plastic spiking neural networks: strong and weak scaling of a representative mini-application benchmark executed on a small-scale commodity cluster
Pier Stanislao Paolucci, Roberto Ammendola, Andrea Biagioni +7
We introduce a natively distributed mini-application benchmark representative of plastic spiking neural network simulators. It can be used to measure performances of existing compu…