Zobrazeno 1 - 8
of 8
pro vyhledávání: '"fixed-point accuracy"'
Autor:
Knight, James Courtney, Tully, Philip Joseph, Kaplan, Bernhard A, Lansner, Anders, Furber, Stephen
Publikováno v:
Knight, J C, Tully, P J, Kaplan, B A, Lansner, A & Furber, S 2016, ' Large-scale simulations of plastic neural networks on neuromorphic hardware ', Frontiers in Neuroanatomy, vol. 10, no. 37, 37 . https://doi.org/10.3389/fnana.2016.00037
SpiNNaker is a digital, neuromorphic architecture designed for simulating large-scale spiking neural networks at speeds close to biological real-time. Rather than using bespoke analog or digital hardware, the basic computational unit of a SpiNNaker s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3818::ae6a48913a9a8bec1fda54e4661f9b22
https://pure.manchester.ac.uk/ws/files/160434672/fnana_10_00037.pdf
https://pure.manchester.ac.uk/ws/files/160434672/fnana_10_00037.pdf
Publikováno v:
2014 IEEE/ACM International Conference on Computer-Aided Design
2014 IEEE/ACM International Conference on Computer-Aided Design, Nov 2014, San Jose, United States. pp.726--733
2014 IEEE/ACM International Conference on Computer-Aided Design, Nov 2014, San Jose, United States. pp.726--733
International audience; In embedded systems, many numerical algorithms are implemented with fixed-point arithmetic to meet area cost and power constraints. Fixed-point encoding decisions can significantly affect cost and performance. To evaluate thei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6227ab83e5859bd73d85d0659c7ef85a
https://inria.hal.science/hal-01095207
https://inria.hal.science/hal-01095207
Autor:
Chakhari, Aymen
Par rapport à l'arithmétique virgule flottante, l'arithmétique virgule fixe se révèle plus avantageuse en termes de contraintes de coût et de consommation, cependant la conversion en arithmétique virgule fixe d'un algorithme spécifié initia
Externí odkaz:
http://www.theses.fr/2014REN1S059/document
Autor:
Chakhari, Aymen
Publikováno v:
Traitement du signal et de l'image [eess.SP]. Université de Rennes 1, 2014. Français
Arithmétique des ordinateurs. Université de Rennes, 2014. Français. ⟨NNT : 2014REN1S059⟩
Arithmétique des ordinateurs. Université Rennes 1, 2014. Français. ⟨NNT : 2014REN1S059⟩
Traitement du signal et de l'image [eess.SP]. Université de Rennes 1, 2014. Français. ⟨NNT : ⟩
Arithmétique des ordinateurs. Université de Rennes, 2014. Français. ⟨NNT : 2014REN1S059⟩
Arithmétique des ordinateurs. Université Rennes 1, 2014. Français. ⟨NNT : 2014REN1S059⟩
Traitement du signal et de l'image [eess.SP]. Université de Rennes 1, 2014. Français. ⟨NNT : ⟩
Traditionally, evaluation of accuracy is performed through two different approaches. The first approach is to perform simulations fixed-point implementation in order to assess its performance. These approaches based on simulation require large comput
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::9c6af41ecdb28a4a24100992648e84bf
https://hal.inria.fr/tel-01097176
https://hal.inria.fr/tel-01097176
Autor:
Sebastian Hoppner, Love Cederstrom, Johannes Partzsch, Bernhard Vogginger, Rene Schuffny, Anders Lansner
Publikováno v:
Frontiers in Neuroscience
Frontiers in Neuroscience, Vol 9 (2015)
Frontiers in Neuroscience, Vol 9 (2015)
The implementation of synaptic plasticity in neural simulation or neuromorphic hardware is usually very resource-intensive, often requiring a compromise between efficiency and flexibility. A versatile, but computationally-expensive plasticity mechani
Akademický článek
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Akademický článek
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Publikováno v:
Frontiers in Neuroanatomy. 10
SpiNNaker is a digital, neuromorphic architecture designed for simulating large-scale spiking neural networks at speeds close to biological real-time. Rather than using bespoke analog or digital hardware, the basic computational unit of a SpiNNaker s