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Mariza Ferro
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The virus and socioeconomic inequality: An agent-based model to simulate and assess the impact of interventions to reduce the spread of COVID-19 in Rio de Janeiro, Brazil
VP Klôh, GD Silva, M Ferro, E Araújo, CB de Melo, JRP de Andrade Lima, ...
Brazilian Journal of Health Review 3 (2), 3647-3673, 2020
252020
Analysis of GPU power consumption using internal sensors
M Ferro, A Yokoyama, V Klôh, G Silva, R Gandra, R Bragança, A Bulcao, ...
Anais do XVI Workshop em Desempenho de Sistemas Computacionais e de Comunicação, 2017
212017
Analysis of GPU power consumption using internal sensors
M Ferro, A Yokoyama, V Klôh, G Silva, R Gandra, R Bragança, A Bulcao, ...
Anais do XVI Workshop em Desempenho de Sistemas Computacionais e de Comunicação, 2017
212017
Towards a sustainable artificial intelligence: A case study of energy efficiency in decision tree algorithms
M Ferro, GD Silva, FB de Paula, V Vieira, B Schulze
Concurrency and Computation: Practice and Experience 35 (17), e6815, 2023
162023
A concurrency mitigation proposal for sharing environments: An affinity approach based on applications classes
AR Mury, B Schulze, FL Licht, LCE de Bona, M Ferro
Intelligent Cloud Computing: First International Conference, ICC 2014 …, 2015
122015
A walking dwarf on the clouds
LF Manfroi, M Ferro, AM Yokoyama, AR Mury, B Schulze
Proceedings of the 2013 IEEE/ACM 6th International Conference on Utility and …, 2013
122013
Performance and energy efficiency analysis of machine learning algorithms towards green ai: a case study of decision tree algorithms
G Silva, B Schulze, M Ferro
National Lab. for Scientific Computing, 2021
112021
Performance and energy efficiency evaluation for HPC applications in heterogeneous architectures
V Klôh, D Yokoyama, A Yokoyama, G Silva, M Ferro, B Schulze
2018 Symposium on High Performance Computing Systems (WSCAD), 162-169, 2018
102018
Towards an autonomous framework for hpc optimization: Using machine learning for energy and performance modeling
V Klôh, M Gritz, B Schulze, M Ferro
Anais do XX Simpósio em Sistemas Computacionais de Alto Desempenho, 438-445, 2019
82019
Aquisiçao de conhecimento de conjuntos de exemplos no formato atributo valor utilizando aprendizado de máquina relacional
M Ferro
Universidade de São Paulo, 2004
82004
High performance computing evaluation A methodology based on scientific application requirements
M Ferro, AR Mury, LF Manfroi, B Schlze
arXiv preprint arXiv:1412.1297, 2014
72014
Challenges in HPC evaluation: Towards a methodology for scientific application requirements
M Ferro, G Silva, V Klôh, A Yokoyama, A Mury, B Schulze
Big Data and HPC: Ecosystem and Convergence, 32-52, 2018
62018
Avaliação de sistemas de computação massivamente paralela e distribuída: uma metodologia voltada aos requisitos das aplicações científicas
M Ferro
62015
Machine learning approaches to extreme weather events forecast in urban areas: Challenges and initial results
F Porto, M Ferro, E Ogasawara, T Moeda, CDT de Barros, AC Silva, ...
Supercomputing Frontiers and Innovations 9 (1), 49-73, 2022
52022
O Processo de KDD–Knowledge Discovery in Database para Aplicações na Medicina
M FERRO, HD LEE
Seminc 2001, 2001
52001
Avaliação do Consumo de Energia para o Treinamento de Aprendizado de Máquina utilizando Single-board computers baseadas em ARM
F Bernardo, A Yokoyama, B Schulze, M Ferro
Anais do XXII Simpósio em Sistemas Computacionais de Alto Desempenho, 60-71, 2021
42021
Use of machine learning for improvements in performance and energy consumption in hpc systems
V Klôh, B Schulze, M Ferro
Use of machine learning for improvements in performance and energy …, 2020
42020
Abordagens de monitoramento de desempenho em apoio a pesquisa cientıfica
GD Silva, VP Klôh, M Ferro, B Schulze
Anais do XVII Simposio em Sistemas Computacionais de Alto Desempenho, 74-79, 2016
42016
Leveraging high performance computing for bioinformatics: a methodology that enables a reliable decision-making
M Ferro, MF Nicolas, QS Quadalupe Del Rosario, AR Mury, B Schulze
2016 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2016
42016
A proposal to apply inductive logic programming to self‐healing problem in grid computing: How will it work?
M Ferro, AR Mury, B Schulze
Concurrency and Computation: Practice and Experience 23 (17), 2118-2135, 2011
42011
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Articles 1–20