Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Etienne Dupuis"'
Publikováno v:
2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09d1096c1282b26f5d02a61c168a2762
https://doi.org/10.1109/asp-dac52403.2022.9712487
https://doi.org/10.1109/asp-dac52403.2022.9712487
Autor:
Alberto Bosio, David Briand, Ian O'Connor, Olivier Sentieys, Etienne Dupuis, Silviu Filip, David Novo
Publikováno v:
DDECS 2021-24th International Symposium on Design and Diagnostics of Electronic Circuits and Systems
DDECS 2021-24th International Symposium on Design and Diagnostics of Electronic Circuits and Systems, Apr 2021, Vienna (virtual), Austria. pp.37-40, ⟨10.1109/DDECS52668.2021.9417026⟩
DDECS
DDECS 2021-24th International Symposium on Design and Diagnostics of Electronic Circuits and Systems, Apr 2021, Vienna (virtual), Austria. pp.37-40, ⟨10.1109/DDECS52668.2021.9417026⟩
DDECS
International audience; The design and implementation of Convolutional Neural Networks (CNNs) for deep learning (DL) is currently receiving a lot of attention from both industrials and academics. However, the computational workload involved with CNNs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba793811647b47b68ea43c3cade3f7c5
https://hal.archives-ouvertes.fr/hal-03266861/file/DDECS_2021_Special_Session_AdequateDL-3.pdf
https://hal.archives-ouvertes.fr/hal-03266861/file/DDECS_2021_Special_Session_AdequateDL-3.pdf
Publikováno v:
23rd International Symposium on Design and Diagnostics of Electronic Circuits & Systems (DDECS)
23rd International Symposium on Design and Diagnostics of Electronic Circuits & Systems (DDECS), Apr 2020, Novi Sad, Serbia. ⟨10.1109/DDECS50862.2020.9095658⟩
DDECS
23rd International Symposium on Design and Diagnostics of Electronic Circuits & Systems (DDECS), Apr 2020, Novi Sad, Serbia. ⟨10.1109/DDECS50862.2020.9095658⟩
DDECS
International audience; Deep artificial Neural Networks (DNNs) are currently one of the most intensively and widely used predictive models in the field of machine learning. However, the computational workload involved in DNNs is typically out of reac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a773123768dd02f3ea86a4bd2a3c792
https://hal-lirmm.ccsd.cnrs.fr/lirmm-03054134/document
https://hal-lirmm.ccsd.cnrs.fr/lirmm-03054134/document
Autor:
Gilles Sassatelli, Arnaud Castelltort, Etienne Dupuis, Francesco Di Gregorio, Abdoulaye Gamatié
Publikováno v:
2nd International Conference on Embedded & Distributed Systems (EDiS)
2nd International Conference on Embedded & Distributed Systems (EDiS), Apr 2020, Oran, Algeria
2nd International Conference on Embedded & Distributed Systems (EDiS), Nov 2020, Oran, Algeria
2nd International Conference on Embedded & Distributed Systems (EDiS), Apr 2020, Oran, Algeria
2nd International Conference on Embedded & Distributed Systems (EDiS), Nov 2020, Oran, Algeria
International audience; This paper presents the development of a versatile software framework enabling the multiform and seamless evaluation of distributed systems: from fast and flexible simulation to actual system execution. The OpenStack datacente
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db46ccefab17ffc360abec9ad68cbd07
https://halshs.archives-ouvertes.fr/halshs-02566036
https://halshs.archives-ouvertes.fr/halshs-02566036
Publikováno v:
Design, Automation & Test in Europe Conference & Exhibition (DATE)
Design, Automation & Test in Europe Conference & Exhibition (DATE), Mar 2020, Grenoble, France. ⟨10.23919/DATE48585.2020.9116350⟩
DATE
Design, Automation & Test in Europe Conference & Exhibition (DATE), Mar 2020, Grenoble, France. ⟨10.23919/DATE48585.2020.9116350⟩
DATE
International audience; Deep neural networks demonstrate impressive levels of performance, particularly in computer vision and speech recognition. However, the computational workload and associated storage inhibit their potential in resource-limited
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac828c1658b06a7f54bd0b721acb7256
https://hal-lirmm.ccsd.cnrs.fr/lirmm-03054114
https://hal-lirmm.ccsd.cnrs.fr/lirmm-03054114