Profil

Ramos gomes da silva Vitor

Main Referenced Co-authors
VALDERRAMA SAKUYAMA, Carlos Alberto  (16)
Belabed, Tarek  (5)
QUENON, Alexandre  (5)
De Souza, Samuel Xavier (4)
Manneback, Pierre  (3)
Main Referenced Keywords
FPGA (4); framework (4); Python (4); Cloud Computing (3); Edge Computing (3);
Main Referenced Unit & Research Centers
CRTI - Centre de Recherche en Technologie de l'Information (14)
Main Referenced Disciplines
Electrical & electronics engineering (19)
Computer science (8)
Physics (3)
Library & information sciences (3)

Publications (total 19)

The most downloaded
21 downloads
Ramos Gomes Da Silva, V., Braulio, A., Valderrama, C., Manneback, P., & De Souza, S. X. (23 February 2022). A Minimally Intrusive Approach for Automatic Assessment of Parallel Performance Scalability of Shared-Memory HPC Applications. Electronics, 11 (5). https://hdl.handle.net/20.500.12907/42553

The most cited

9 citations (Scopus®)

Yvanoff-Frenchin, C., Ramos Gomes Da Silva, V., Belabed, T., & Valderrama, C. (29 February 2020). Edge Computing Robot Interface for Automatic Elderly Mental Health Care Based on Voice. MDPI, 9 (3), 419. doi:10.3390/electronics9030419 https://hdl.handle.net/20.500.12907/42343

BETHEUTALLA, J., Ramos Gomes Da Silva, V., & Valderrama, C. (In press). Automated classification and dataset creation based on yolo neural network topologies: Co-superviseur dans les travaux de Julio BETHEUTALLA.

Ramos Gomes Da Silva, V.* , Braulio, A., Furtunato, A., Jales, M., Xavier, S., & Valderrama, C.*. (2023). PascalAnalyzer: Tool for automatization of sensors data gathering while controlling diverse CPU parameters.

Ramos Gomes Da Silva, V., Braulio, A., Valderrama, C., Manneback, P., & De Souza, S. X. (23 February 2022). A Minimally Intrusive Approach for Automatic Assessment of Parallel Performance Scalability of Shared-Memory HPC Applications. Electronics, 11 (5).
Peer reviewed

Ramos Gomes Da Silva, V., Valderrama, C., Manneback, P., & De Souza, S. X. (2022). Analytical Energy Model Parametrized by Workload, Clock Frequency and Number of Active Cores for Share-Memory High-Performance Computing Applications. Energies.
Peer Reviewed verified by ORBi

Belabed, T., Ramos Gomes Da Silva, V.* , Quenon, A.* , Valderrama, C., & SOUANI, C. (2021). A Novel Automate Python Edge-to-Edge: From Automate Generation On Cloud To User Application Deployment on Edge of Deep Neural Networks For Low Power IoT Systems FPGA-Based Acceleration. Sensors. doi:10.3390/s21186050
Peer Reviewed verified by ORBi
* These authors have contributed equally to this work.

Belabed, T., Quenon, A., Ramos Gomes Da Silva, V., Valderrama, C., & SOUANI, C. (2021). Full Python Interface Control: Auto Generation And Adaptation of Deep Neural Networks For Edge Computing and IoT Applications FPGA-Based Acceleration. In Proceedings of 2021 International Conference on INnovations in Intelligent SysTems and Applications (INISTA). IEEE. doi:10.1109/INISTA52262.2021.9548521
Peer reviewed

Belabed, T., Quenon, A., Ramos Gomes Da Silva, V., Valderrama, C., & SOUANI, C. (26 August 2021). Full Python Interface Control: Auto Generation And Adaptation of Deep Neural Networks For Edge Computing and IoT Applications FPGA-Based Acceleration [Paper presentation]. International Symposium on INnovations in Intelligent SysTems and Applications, Kocaeli, Turkey.
Peer reviewed

Quenon, A., & Ramos Gomes Da Silva, V. (15 April 2021). Towards Higher-Level Synthesis and Co-design with Python [Paper presentation]. Workshop on Languages, Tools, and Techniques for Accelerator Design.
Peer reviewed

Ramos Gomes Da Silva, V., & Quenon, A. (15 April 2021). Towards Higher-Level Synthesis and Co-design with Python [Paper presentation]. Workshop on Languages, Tools, and Techniques for Accelerator Design.
Peer reviewed

Ramos Gomes Da Silva, V. (2020). Energy model vizualiation: vitorramos.github.io/energyplot/.

Yvanoff-Frenchin, C., Ramos Gomes Da Silva, V., Belabed, T., & Valderrama, C. (29 February 2020). Edge Computing Robot Interface for Automatic Elderly Mental Health Care Based on Voice. MDPI, 9 (3), 419. doi:10.3390/electronics9030419
Peer reviewed

SIMO, J., Ramos Gomes Da Silva, V., & Valderrama, C. (2020). Identification of horse's paces: Co-superviseur dans les travaux de Jean SIMO [Master’s dissertation, Université de Mons]. ORBi UMONS-University of Mons. https://orbi.umons.ac.be/handle/20.500.12907/42353

LAURENT, T., Ramos Gomes Da Silva, V., & Valderrama, C. (2020). Database generation : Conseiller dans le travail de Thomas LAURENT.

Ramos Gomes Da Silva, V., & Valderrama, C. (2020). Performance Counters Profiler: Performance Counters api for python.

Ramos Gomes Da Silva, V., & Valderrama, C. (02 December 2019). Energy aware models for HPC systems [Poster presentation]. MUSICS-FNRS doctoral school 6th Reconfigurable Market Workshop, Mons, Belgium.

Yvanoff-Frenchin, C., Ramos Gomes Da Silva, V., Belabed, T., & Valderrama, C. (2019). An Edge Computing Robot Experience for Automatic Elderly Mental Health Care Based on Voice [Paper presentation]. ICT Innovations, Ohrid, North Macedonia.

Ramos Gomes Da Silva, V., Furtunato, A., Georgiou, K., Kerstin, E., Valderrama, C., & De Souza, S. X. (2019). Energy-Optimal Configurations for Single-Node HPC Applications [Paper presentation]. International Conference on High Performance Computing & Simulation, Dublin, Ireland.

Ramos Gomes Da Silva, V., Valderrama, C., De Souza, S. X., & Manneback, P. (2019). An Accurate Tool for Modeling, Fingerprinting, Comparison, and Clustering of Parallel Applications Based on Performance Counters [Paper presentation]. IEEE International Parallel and Distributed Processing Symposium, Rio de Janeiro, Brazil.

Ramos Gomes Da Silva, V., & Valderrama, C. (07 January 2019). Energy-Optimal Configurations for Single-Node HPC Applications [Paper presentation]. Séminaires inforTech/Numédiart, Mons, Belgium.

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