Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Santos, Fernando Fernandes Dos"'
Autor:
Iurada, Leonardo, Cavagnero, Niccolò, Santos, Fernando Fernandes Dos, Averta, Giuseppe, Rech, Paolo, Tommasi, Tatiana
Deep learning models are crucial for autonomous vehicle perception, but their reliability is challenged by algorithmic limitations and hardware faults. We address the latter by examining fault-tolerance in semantic segmentation models. Using establis
Externí odkaz:
http://arxiv.org/abs/2408.16952
Autor:
Santos, Fernando Fernandes dos, Kritikakou, Angeliki, Condia, Josie Esteban Rodriguez, Balaguera, Juan David Guerrero, Reorda, Matteo Sonza, Sentieys, Olivier, Rech, Paolo
The reliability evaluation of Deep Neural Networks (DNNs) executed on Graphic Processing Units (GPUs) is a challenging problem since the hardware architecture is highly complex and the software frameworks are composed of many layers of abstraction. W
Externí odkaz:
http://arxiv.org/abs/2211.13094
RISC-V architectures have gained importance in the last years due to their flexibility and open-source Instruction Set Architecture (ISA), allowing developers to efficiently adopt RISC-V processors in several domains with a reduced cost. For applicat
Externí odkaz:
http://arxiv.org/abs/2206.08639
Autor:
Santos, Fernando Fernandes dos, Malde, Sujit, Cazzaniga, Carlo, Frost, Christopher, Carro, Luigi, Rech, Paolo
Publikováno v:
Nuclear & Space Radiation Effects Conference 2021
We investigate the sources of Detected Unrecoverable Errors (DUEs) in GPUs exposed to neutron beams. Illegal memory accesses and interface errors are among the more likely sources of DUEs. ECC increases the launch failure events. Our test procedure h
Externí odkaz:
http://arxiv.org/abs/2108.00554
Publikováno v:
Biblioteca Digital de Teses e Dissertações da UFRGSUniversidade Federal do Rio Grande do SulUFRGS.
A confiabilidade de algoritmos para detecção de pedestres é um problema fundamental para carros auto dirigíveis ou com auxílio de direção. Métodos que utilizam algoritmos de detecção de objetos como Histograma de Gradientes Orientados (HOG
Externí odkaz:
http://hdl.handle.net/10183/159210
Publikováno v:
Biblioteca Digital de Teses e Dissertações da UFRGS
Universidade Federal do Rio Grande do Sul (UFRGS)
instacron:UFRGS
Universidade Federal do Rio Grande do Sul (UFRGS)
instacron:UFRGS
Graphics Processing Units (GPUs) passaram de dispositivos dedicados a aplicações mul timidia e gaming, para se tornarem aceleradores de propósito geral usados em High Per formance Computing (HPC) e aplicações críticas como carros autônomos. Ta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::0ced2854a0aea9b9daf6541f0041fb20
Autor:
Santos, Fernando Fernandes dos, Kritikakou, Angeliki, Condia, Josie E. Rodriguez, Guerrero-Balaguera, Juan-David, Reorda, Matteo Sonza, Sentieys, Olivier, Rech, Paolo
Publikováno v:
IEEE Transactions on Nuclear Science; 2023, Vol. 70 Issue: 4 p370-380, 11p
Autor:
Rodriguez Condia, Josie E., Rech, Paolo, Santos, Fernando Fernandes dos, Carro, Luigi, Reorda, Matteo Sonza
Publikováno v:
IEEE Transactions on Device & Materials Reliability; Jun2022, Vol. 22 Issue 2, p129-141, 13p
Autor:
Basso, Pedro Martins1 pmbasso@inf.ufrgs.br, Santos, Fernando Fernandes dos1 ffsantos@inf.ufrgs.br, Rech, Paolo1 prech@inf.ufrgs.br
Publikováno v:
IEEE Transactions on Nuclear Science. Jul2020, Vol. 67 Issue 7, p1560-1565. 6p.
Autor:
Santos, Fernando Fernandes dos1 (AUTHOR) ffsantos@inf.ufrgs.br, Pimenta, Pedro Foletto1 (AUTHOR) pfpimenta@inf.ufrgs.br, Lunardi, Caio1 (AUTHOR) cblunardi@inf.ufrgs.br, Draghetti, Lucas1 (AUTHOR) lucas.kleindraghetti@inf.ufrgs.br, Carro, Luigi1 (AUTHOR) carro@inf.ufrgs.br, Kaeli, David2 (AUTHOR) kaeli@ece.neu.edu, Rech, Paolo1 (AUTHOR) prech@inf.ufrgs.br
Publikováno v:
IEEE Transactions on Reliability. Jun2019, Vol. 68 Issue 2, p663-677. 15p.