Zobrazeno 1 - 10
of 204
pro vyhledávání: '"Andrea, Bartolini"'
Autor:
Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-10 (2023)
Abstract Supercomputers are the most powerful computing machines available to society. They play a central role in economic, industrial, and societal development. While they are used by scientists, engineers, decision-makers, and data-analyst to comp
Externí odkaz:
https://doaj.org/article/405eefb09aee4dd88afc242bce562535
Autor:
Andrea Monforti Ferrario, Andrea Bartolini, Francisca Segura Manzano, Francisco José Vivas, Gabriele Comodi, Stephen John McPhail, José Manuel Andujar
Publikováno v:
Advances in Applied Energy, Vol 3, Iss , Pp 100048- (2021)
In this study the optimal sizing of a hybrid battery/hydrogen Energy Storage System “ESS” is assessed via a model-based parametric analysis in the context of a real hybrid renewable microgrid located in Huelva, Spain, supplying a realtime monitor
Externí odkaz:
https://doaj.org/article/4e814ba4b3d44c20909f015075c34ec3
Publikováno v:
Journal of Low Power Electronics and Applications, Vol 12, Iss 3, p 37 (2022)
To cope with the increasing complexity of digital systems programming, deep learning techniques have recently been proposed to enhance software deployment by analysing source code for different purposes, ranging from performance and energy improvemen
Externí odkaz:
https://doaj.org/article/c2f372d5dfc74d59bbca7dd5b84f82c6
Autor:
Wissam Abu Ahmad, Andrea Bartolini, Daniele Gregori, Andrea Borghesi, Francesco Beneventi, Marco Cicala, Cosimo Gianfreda, Antonio Libri, Privato Forestieri, Filippo Spiga, Luca Benini, Simone Tinti
Publikováno v:
IPDPS Workshops
none 12 si In this paper we present D.A.V.I.D.E. (Development for an Added Value Infrastructure Designed in Europe), an innovative and energy efficient High Performance Computing cluster designed by E4 Computer Engineering for PRACE (Partnership for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c038dcf3cdab2d57fec9484e3b44801
http://arxiv.org/abs/2307.05790
http://arxiv.org/abs/2307.05790
Autor:
Francesco Barchi, Luca Zanatta, Emanuele Parisi, Alessio Burrello, Davide Brunelli, Andrea Bartolini, Andrea Acquaviva
Publikováno v:
Future Internet, Vol 13, Iss 8, p 219 (2021)
In this work, we present an innovative approach for damage detection of infrastructures on-edge devices, exploiting a brain-inspired algorithm. The proposed solution exploits recurrent spiking neural networks (LSNNs), which are emerging for their the
Externí odkaz:
https://doaj.org/article/0d8bfebf58c84dc3b40f78d5cde5cfac
Autor:
Andrea Bartolini, Monica Basso, Elisa Franchin, Nicola Menegotto, Anna Ferrari, Ettore De Canale, Samantha Andreis, Renzo Scaggiante, Stefania Stefani, Giorgio Palù, Saverio Giuseppe Parisi
Publikováno v:
International Journal of Infectious Diseases, Vol 59, Iss C, Pp 103-109 (2017)
Objectives: We described Klebsiella pneumoniae producing carbapenemase (CPKP) spread from 01/01/2015 to 13/09/16 in a tertiary level hospital. Methods: The first positive surveillance rectal swab (SRS) or clinical sample (CS) collected in the medical
Externí odkaz:
https://doaj.org/article/3b3d6c1d92024e77ab95680664289b25
Publikováno v:
Companion of the 2023 ACM/SPEC International Conference on Performance Engineering.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b988da4554bf27c9a30ab71e4ed8d8bc
https://doi.org/10.1145/3578245.3585335
https://doi.org/10.1145/3578245.3585335
Autor:
Ana Lucia Varbanescu, Andrea Bartolini
Publikováno v:
Companion of the 2023 ACM/SPEC International Conference on Performance Engineering.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3864824df1bfcbd37e3be1929d560e3
https://doi.org/10.1145/3578245.3585340
https://doi.org/10.1145/3578245.3585340
Publikováno v:
Future Generation Computer Systems, 141
The increasing complexity of modern high-performance computing (HPC) systems necessitates the introduction of automated and data-driven methodologies to support system administrators’ effort towards increasing the system's availability. Anomaly det
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e9aaff821fe834e6d7549f5cbafae08
https://hdl.handle.net/20.500.11850/589512
https://hdl.handle.net/20.500.11850/589512
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 33:739-750
In their quest toward Exascale, High Performance Computing (HPC) systems are rapidly becoming larger and more complex, together with the issues concerning their maintenance. Luckily, many current HPC systems are endowed with data monitoring infrastru
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2018f3ccb88a23ac56e0b8ee17389e7
https://doi.org/10.1109/tpds.2021.3082802
https://doi.org/10.1109/tpds.2021.3082802