| A comparison of GPU execution time prediction using machine learning and analytical modeling M Amarís, RY de Camargo, M Dyab, A Goldman, D Trystram 2016 IEEE 15th International Symposium on Network Computing and Applications …, 2016 | 70 | 2016 |
| Obtaining dynamic scheduling policies with simulation and machine learning D Carastan-Santos, RY De Camargo Proceedings of the International Conference for High Performance Computing …, 2017 | 66 | 2017 |
| One can only gain by replacing EASY Backfilling: A simple scheduling policies case study D Carastan-Santos, RY De Camargo, D Trystram, S Zrigui 2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2019 | 46 | 2019 |
| Checkpointing-based rollback recovery for parallel applications on the integrade grid middleware RY de Camargo, A Goldchleger, F Kon, A Goldman Proceedings of the 2nd workshop on Middleware for grid computing, 35-40, 2004 | 42 | 2004 |
| A simple BSP-based model to predict execution time in GPU applications M Amaris, D Cordeiro, A Goldman, RY De Camargo 2015 IEEE 22nd International Conference on High Performance Computing (HiPC …, 2015 | 38 | 2015 |
| Strategies for checkpoint storage on opportunistic grids RY de Camargo, F Kon, R Cerqueira IEEE Distributed Systems Online 7 (9), 1-1, 2006 | 35 | 2006 |
| Improving the performance of batch schedulers using online job runtime classification S Zrigui, RY de Camargo, A Legrand, D Trystram Journal of Parallel and Distributed Computing 164, 83-95, 2022 | 34 | 2022 |
| Gene regulatory networks inference using a multi-GPU exhaustive search algorithm FF Borelli, RY de Camargo, DC Martins, LCS Rozante BMC bioinformatics 14, 1-12, 2013 | 33 | 2013 |
| Time experience during social distancing: A longitudinal study during the first months of COVID-19 pandemic in Brazil AM Cravo, GB de Azevedo, C Moraes Bilacchi Azarias, LC Barne, ... Science advances 8 (15), eabj7205, 2022 | 32 | 2022 |
| A common representation of time across visual and auditory modalities LC Barne, JR Sato, RY de Camargo, PME Claessens, MS Caetano, ... Neuropsychologia 119, 223-232, 2018 | 19 | 2018 |
| Application execution management on the InteGrade opportunistic grid middleware FJS e Silva, F Kon, A Goldman, M Finger, RY De Camargo, F Castor Filho, ... Journal of Parallel and Distributed Computing 70 (5), 573-583, 2010 | 19 | 2010 |
| A multi‐GPU algorithm for large‐scale neuronal networks RY De Camargo, L Rozante, SW Song Concurrency and Computation: Practice and Experience 23 (6), 556-572, 2011 | 18 | 2011 |
| Finding exact hitting set solutions for systems biology applications using heterogeneous GPU clusters D Carastan-Santos, RY de Camargo, DC Martins Jr, SW Song, ... Future Generation Computer Systems 67, 418-429, 2017 | 17 | 2017 |
| Checkpointing BSP parallel applications on the InteGrade Grid middleware RY De Camargo, A Goldchleger, F Kon, A Goldman Concurrency and Computation: Practice and Experience 18 (6), 567-579, 2006 | 17 | 2006 |
| The Grid architectural pattern: Leveraging distributed processing capabilities RY de Camargo, A Goldchleger, M Carneiro, F Kon Pattern Languages of Program Design 5, 337-356, 2006 | 17 | 2006 |
| Strategies for storage of checkpointing data using non-dedicated repositories on grid systems RY de Camargo, R Cerqueira, F Kon Proceedings of the 3rd international workshop on Middleware for grid …, 2005 | 17 | 2005 |
| Portable checkpointing and communication for BSP applications on dynamic heterogeneous Grid environments RY De Camargo, F Kon, A Goldman 17th International Symposium on Computer Architecture and High Performance …, 2005 | 17 | 2005 |
| Grid: An architectural pattern RY de Camargo, A Goldchleger, M Carneiro, F Kon The 11th Conference on Pattern Languages of Programs (PLoP’2004), 337-356, 2004 | 17 | 2004 |
| Predicting dengue outbreaks with explainable machine learning R Aleixo, F Kon, R Rocha, MS Camargo, RY De Camargo 2022 22nd IEEE International Symposium on Cluster, Cloud and Internet …, 2022 | 16 | 2022 |
| Design and implementation of a middleware for data storage in opportunistic grids RY De Camargo, F Kon Seventh IEEE International Symposium on Cluster Computing and the Grid …, 2007 | 16 | 2007 |
Fabio KonFull Professor of Computer ScienceVerified email at ime.usp.br
