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A. Lonardo

75 papers hereh-index 283.3k citations249 works total

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

author position
  • first author2
  • middle author35
  • last author2

Across the 39 of 75 papers where every author was matched, so the position is known.

fields
  • hep-ex18
  • physics.ins-det17
  • cs.DC12
  • astro-ph.IM7
  • hep-lat7
  • cs.AR3
same name
  • A. Lonardo — 10 papers
  • A. Lonardo — 1 paper
  • A. Lonardo — 1 paper, h 1
  • A. Lonardo — 1 paper, h 1
  • A. Lonardo — 1 paper, h 2

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
19972026
most citedLetter of Intent for KM3NeT 2.0

908 citations · 2k across the 74 of their papers we have counts for

collaborators
Showing 2013 · cs.DCShow all

3 papers · 2 filters

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…

cs.DC2013★ 4 cited

'Mutual Watch-dog Networking': Distributed Awareness of Faults and Critical Events in Petascale/Exascale systems

Roberto Ammendola, Andrea Biagioni, Ottorino Frezza +7

Many tile systems require techniques to be applied to increase components resilience and control the FIT (Failures In Time) rate. When scaling to peta- exa-scale systems the FIT ra…

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