Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Cretaro Paolo"'
Autor:
Ammendola Roberto, Biagioni Andrea, Chiarini Carlotta, Cretaro Paolo, Frezza Ottorino, Lo Cicero Francesca, Lonardo Alessandro, Martinelli Michele, Pastorelli Elena, Paolucci Pier Stanislao, Pontisso Luca, Rossi Cristian, Simula Francesco, Vicini Piero
Publikováno v:
EPJ Web of Conferences, Vol 295, p 10006 (2024)
RED-SEA (https://redsea-project.eu/) is a European project funded in the framework of the H2020-JTI-EuroHPC-2019-1 call that started in April 2021. The goal of the project is to evaluate the architectural design of the main elements of the interconne
Externí odkaz:
https://doaj.org/article/17f57865dd8e49539f5b5a9b65fb13f0
Autor:
Ammendola Roberto, Biagioni Andrea, Chiarini Carlotta, Ciardiello Andrea, Cretaro Paolo, Frezza Ottorino, Lo Cicero Francesca, Lonardo Alessandro, Martinelli Michele, Paolucci Pier Stanislao, Pontisso Luca, Simula Francesco, Rossi Cristian, Turisini Matteo, Vicini Piero
Publikováno v:
EPJ Web of Conferences, Vol 295, p 11002 (2024)
High Energy Physics (HEP) Trigger and Data Acquisition systems (TDAQs) need ever increasing throughput and real-time data analytics capabilities either to improve particle identification accuracy and further suppress background events in trigger syst
Externí odkaz:
https://doaj.org/article/ebe88949af4f40a88a73def8c623c4ca
Autor:
Ammendola Roberto, Biagioni Andrea, Ciardiello Andrea, Cretaro Paolo, Frezza Ottorino, Lamanna Gianluca, Lo Cicero Francesca, Lonardo Alessandro, Piandani Roberto, Pontisso Luca, Salamon Andrea, Simula Francesco, Soldi Dario, Sozzi Marco, Vicini Piero
Publikováno v:
EPJ Web of Conferences, Vol 245, p 01017 (2020)
The L0TP+ initiative is aimed at the upgrade of the FPGA-based Level-0 Trigger Processor (L0TP) of the NA62 experiment at CERN for the post-LS2 data taking, which is expected to happen at 100% of design beam intensity, corresponding to about 3.3 × 1
Externí odkaz:
https://doaj.org/article/57d64d94f2c54952bdb6941c56657457
Autor:
Biagioni Andrea, Cretaro Paolo, Frezza Ottorino, Lo Cicero Francesca, Lonardo Alessandro, Paolucci Pier Stanislao, Pontisso Luca, Simula Francesco, Vicini Piero
Publikováno v:
EPJ Web of Conferences, Vol 245, p 09004 (2020)
EuroEXA is a major European FET research initiative that aims to deliver a proof-of-concept of a next generation Exa-scalable HPC platform. EuroEXA leverages on previous projects results (ExaNeSt, ExaNoDe and ECOSCALE) to design a medium scale but sc
Externí odkaz:
https://doaj.org/article/67d68906e74f4f1e8d18749eaeef83ee
Autor:
Ammendola, Roberto, Biagioni, Andrea, Chiarini, Carlotta, Ciardiello, Andrea, Cretaro, Paolo, Frezza, Ottorino, Cicero, Francesca Lo, Lonardo, Alessandro, Martinelli, Michele, Paolucci, Pier Stanislao, Rossi, Cristian, Simula, Francesco, Turisini, Matteo, Vicini, Piero
APEIRON is a framework encompassing the general architecture of a distributed heterogeneous processing platform and the corresponding software stack, from the low level device drivers up to the high level programming model. The framework is designed
Externí odkaz:
http://arxiv.org/abs/2307.01009
Autor:
Ammendola Roberto, Biagioni Andrea, Chiozzi Stefano, Cotta Ramusino Angelo, Cretaro Paolo, Di Lorenzo Stefano, Fantechi Riccardo, Fiorini Massimiliano, Frezza Ottorino, Lamanna Gianluca, Lo Cicero Francesca, Lonardo Alessandro, Martinelli Michele, Neri Ilaria, Paolucci Pier Stanislao, Pastorelli Elena, Piandani Roberto, Pontisso Luca, Rossetti Davide, Simula Francesco, Sozzi Marco, Vicini Piero
Publikováno v:
EPJ Web of Conferences, Vol 127, p 00011 (2016)
Usage of Graphics Processing Units (GPUs) in the so called general-purpose computing is emerging as an effective approach in several fields of science, although so far applications have been employing GPUs typically for offline computations. Taking i
Externí odkaz:
https://doaj.org/article/890d6b0b9d264ff69ef635d7358e1e00
Autor:
Simula, Francesco, Pastorelli, Elena, Paolucci, Pier Stanislao, Martinelli, Michele, Lonardo, Alessandro, Biagioni, Andrea, Capone, Cristiano, Capuani, Fabrizio, Cretaro, Paolo, De Bonis, Giulia, Cicero, Francesca Lo, Pontisso, Luca, Vicini, Piero, Ammendola, Roberto
Publikováno v:
27th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP), Pavia, Italy, February 13-15, 2019, pp. 283-290
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 distributed computing platforms. Also, the speed and energy consumption of
Externí odkaz:
http://arxiv.org/abs/1812.04974
Autor:
Ammendola, Roberto, Biagioni, Andrea, Capuani, Fabrizio, Cretaro, Paolo, De Bonis, Giulia, Cicero, Francesca Lo, Lonardo, Alessandro, Martinelli, Michele, Paolucci, Pier Stanislao, Pastorelli, Elena, Pontisso, Luca, Simula, Francesco, Vicini, Piero
Publikováno v:
(2018) Advances in Parallel Computing, 32, pp. 750-759
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 compute elements required. This impacts on system power consumption, in
Externí odkaz:
http://arxiv.org/abs/1804.03893
Autor:
Ammendola, Roberto, Biagioni, Andrea, Capuani, Fabrizio, Cretaro, Paolo, De Bonis, Giulia, Cicero, Francesca Lo, Lonardo, Alessandro, Martinelli, Michele, Paolucci, Pier Stanislao, Pastorelli, Elena, Pontisso, Luca, Simula, Francesco, Vicini, Piero
Publikováno v:
(2018) Advances in Parallel Computing, 32, pp. 760-769
Efficient brain simulation is a scientific grand challenge, a parallel/distributed coding challenge and a source of requirements and suggestions for future computing architectures. Indeed, the human brain includes about 10^15 synapses and 10^11 neuro
Externí odkaz:
http://arxiv.org/abs/1804.03441
Autor:
Pastorelli, Elena, Paolucci, Pier Stanislao, Simula, Francesco, Biagioni, Andrea, Capuani, Fabrizio, Cretaro, Paolo, De Bonis, Giulia, Cicero, Francesca Lo, Lonardo, Alessandro, Martinelli, Michele, Pontisso, Luca, Vicini, Piero, Ammendola, Roberto
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 compared to that of short-range Gaussian decays. While previous studie
Externí odkaz:
http://arxiv.org/abs/1803.08833