activity
20102026
most citedNaNet: a flexible and configurable low-latency NIC for real-time trigger systems based on GPUs

24 citations · 153 across the 33 of their papers we have counts for

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Showing cs.DCShow all

7 papers · 1 filter

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.DC2015★ 1 cited

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…

cs.DC2015★ 1 cited

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…

cs.DC2015★ 17 cited

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…

cs.DC2013★ 8 cited

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…

cs.DC2013

A heterogeneous many-core platform for experiments on scalable custom interconnects and management of fault and critical events, applied to many-process applications: Vol. II, 2012 technical report

Roberto Ammendola, Andrea Biagioni, Ottorino Frezza +9

This is the second of a planned collection of four yearly volumes describing the deployment of a heterogeneous many-core platform for experiments on scalable custom interconnects a…