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 | 26 | 2020 |
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 | 21 | 2017 |
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 | 21 | 2017 |
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 | 19 | 2023 |
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 | 12 | 2015 |
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 | 12 | 2013 |
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 | 11 | 2021 |
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 | 10 | 2018 |
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 | 8 | 2019 |
Aquisiçao de conhecimento de conjuntos de exemplos no formato atributo valor utilizando aprendizado de máquina relacional M Ferro Universidade de São Paulo, 2004 | 8 | 2004 |
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 | 7 | 2014 |
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 | 6 | 2018 |
Avaliação de sistemas de computação massivamente paralela e distribuída: uma metodologia voltada aos requisitos das aplicações científicas M Ferro | 6 | 2015 |
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 | 5 | 2022 |
O Processo de KDD–Knowledge Discovery in Database para Aplicações na Medicina M FERRO, HD LEE Seminc 2001, 2001 | 5 | 2001 |
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 | 4 | 2021 |
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 | 4 | 2020 |
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 | 4 | 2016 |
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 | 4 | 2016 |
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 | 4 | 2011 |