| A comparison of GPU execution time prediction using machine learning and analytical modeling M Amaris, RY de Camargo, M Dyab, A Goldman, D Trystram 2016 IEEE 15th International Symposium on Network Computing and Applications …, 2016 | 27 | 2016 |
| Generic algorithms for scheduling applications on hybrid multi-core machines M Amaris, G Lucarelli, C Mommessin, D Trystram European Conference on Parallel Processing, 220-231, 2017 | 20 | 2017 |
| A Simple BSP-based Model to Predict Execution Time in GPU Applications M Amarís, D Cordeiro, A Goldman, RY de Camargo 22nd International Conference on High Performance Computing (HiPC), 285-294, 2015 | 18 | 2015 |
| OpenMP is Not as Easy as It Appears R Gonçalves, M Amarís, T Okada, P Bruel, A Goldman 49th Hawaii International Conference on System Sciences, 5742-5751, 2016 | 13 | 2016 |
| Autotuning cuda compiler parameters for heterogeneous applications using the opentuner framework P Bruel, M Amaris, A Goldman Concurrency and Computation: Practice and Experience 29 (22), e3973, 2017 | 10 | 2017 |
| Autotuning GPU Compiler Parameters Using OpenTuner P Bruel, M Amarís, A Goldman WSCAD'15 - XVI Simpósio em Sistemas Computacionais de Alto Desempenho, 13-23, 2015 | 3 | 2015 |
| PDAWL: Profile-based Iterative Dynamic Adaptive WorkLoad Balance on Heterogeneous Architectures T Geng, M Amaris, S Zuckerman, A Goldman, GR Gao, JL Gaudiot Workshop on Job Scheduling Strategies for Parallel Processing, 145-162, 2020 | 2 | 2020 |
| Generic algorithms for scheduling applications on heterogeneous platforms M Amaris, G Lucarelli, C Mommessin, D Trystram Concurrency and Computation: Practice and Experience 31 (15), e4647, 2019 | 2 | 2019 |
| Modelagem e Predição temporal de Parâmetros de Qualidade de Água usando Redes Neurais Profundas AV Anderson Almeida, Marcos Amaris, Bruno Merlin XI Workshop de Computação Aplicada à Gestão de do Meio Ambiente e Recursos …, 2020 | 1* | 2020 |
| Performance Prediction Modeling of GPU Applications M Amarís, RY de Camargo, A Goldman | | 2017 |
| Scheduling Moldable BSP Tasks on Clouds TK Okada, M Amarís, AG vel Lejbman Simpósio de Sistemas Computacionais de Alto Desempenho, 2015 | | 2015 |
| Science 2.0: Uma ciência aberta I Soares Bandeira, M Amarís, R Sampaio, TK Okada | | 2014 |
| Intraemprendedorismo M Amarís, MC Santos | | 2014 |
| Medidas de similaridad de información basadas en compresión de datos M Amarís, V Martinez, P Guillén Comunicaciones en Estadística 5 (2), 169-186, 2013 | | 2013 |
| Máquinas de Aprendizaje No Supervisadas para la Clasificación de Senales Electrocardiográficas M Amarís, V Martinez, P Guillén 8th International Seminar on Medical Information Processing and Analysis, 2012 | | 2012 |
| Aplicación de Software para la Clasificación de Senales Electrocardiográficas de Infarto Agudo de Miocardio Implementando V Amarís González, Marcos. Martinez Abaunza University of Santander - Colombia 19 (370), 2012 | | 2012 |
| Tratamiento de Señales en Dominios Fraccionarios de Fourier M Amaris Gonzalez, RA Torres | | 2009 |
Alfredo GoldmanAssociate Professor of Computer Science, University of São PauloVerified email at ime.usp.br
