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A. Biagioni

58 papers hereh-index 262.9k citations205 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author29

Across the 30 of 58 papers where every author was matched, so the position is known.

fields
  • hep-ex17
  • physics.ins-det14
  • cs.DC11
  • astro-ph.IM6
  • cs.AR3
  • physics.comp-ph3
same name
  • A. Biagioni — 19 papers, h 19
  • A. Biagioni — 7 papers
  • A. Biagioni — 2 papers
  • A. Biagioni — 1 paper
  • A. Biagioni — 1 paper
  • A. Biagioni — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20102026
most citedLetter of Intent for KM3NeT 2.0

908 citations · 1.9k across the 57 of their papers we have counts for

collaborators
Showing 2015 · cs.DCShow all

3 papers · 2 filters

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…

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