Profil

Ramos Gomes Da Silva Vitor

Université de Mons - UMONS > Faculté Polytechnique > Service d'Electronique et Microélectronique


Main Research Fields
Electrical & electronics engineering
Computer science
Physics
Library & information sciences
Main Keywords
FPGA; framework; Python; Cloud Computing; Edge Computing;
Main Unit & Research Centers
CRTI - Centre de Recherche en Technologie de l'Information
Main Co-authors
Valderrama, Carlos 
De Souza, Samuel Xavier
BELABED, Tarek 
Manneback, Pierre 
Quenon, Alexandre 

Publications (total 19)

The most downloaded
7 downloads
Quenon, A., & Ramos Gomes Da Silva, V. (2021). Towards Higher-Level Synthesis and Co-design with Python. Paper presented at Workshop on Languages, Tools, and Techniques for Accelerator Design, . https://hdl.handle.net/20.500.12907/42396
The most cited
8 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. (In press). 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. MDPI 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.
Peer Reviewed verified by ORBi

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 presented at International Symposium on INnovations in Intelligent SysTems and Applications, Kocaeli, Turkey.

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

Quenon, A., & Ramos Gomes Da Silva, V. (2021). Towards Higher-Level Synthesis and Co-design with Python. Paper presented at Workshop on Languages, Tools, and Techniques for Accelerator Design, .

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

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. Unpublished master thesis, Université de Mons.
Jury: .

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 session presented at 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 presented at 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 presented at 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 presented at 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 presented at Séminaires inforTech/Numédiart, Mons, Belgium.

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