| Æminium: A permission-based concurrent-by-default programming language approach S Stork, K Naden, J Sunshine, M Mohr, A Fonseca, P Marques, J Aldrich ACM Transactions on Programming Languages and Systems (TOPLAS) 36 (1), 2, 2014 | 24 | 2014 |
| Æminiumgpu: an intelligent framework for gpu programming A Fonseca, B Cabral Facing the Multicore-Challenge III, 96-107, 2013 | 11 | 2013 |
| Prototyping a GPGPU neural network for deep-learning big data analysis A Fonseca, B Cabral Big Data Research 8, 50-56, 2017 | 10 | 2017 |
| Automatic parallelization: Executing sequential programs on a task-based parallel runtime A Fonseca, B Cabral, J Rafael, I Correia International Journal of Parallel Programming 44 (6), 1337-1358, 2016 | 8 | 2016 |
| Evaluation of runtime cut-off approaches for parallel programs A Fonseca, B Cabral International Conference on Vector and Parallel Processing, 121-134, 2016 | 6 | 2016 |
| Controlling the granularity of automatic parallel programs A Fonseca, B Cabral Journal of Computational Science 17, 620-629, 2016 | 5 | 2016 |
| Dependency-based automatic parallelization of java applications J Rafael, I Correia, A Fonseca, B Cabral European Conference on Parallel Processing, 182-193, 2014 | 4 | 2014 |
| Eve: A parallel event-driven programming language A Fonseca, J Rafael, B Cabral European Conference on Parallel Processing, 170-181, 2014 | 4 | 2014 |
| Helping developers write energy efficient Haskell through a data-structure evaluation G Melfe, A Fonseca, JP Fernandes 2018 IEEE/ACM 6th International Workshop on Green And Sustainable Software …, 2018 | 3 | 2018 |
| Handling exceptions in programs with hidden concurrency: New challenges for old solutions A Fonseca, B Cabral Proceedings of the 5th International Workshop on Exception Handling, 14-17, 2012 | 3 | 2012 |
| AeminiumGPU – A CPU-GPU Hybrid Runtime for the Aeminium Language A Fonseca Departamento de Engª Informática, Faculdade de ciências e Tecnologia …, 2011 | 2 | 2011 |
| Language-based expression of reliability and parallelism for low-power computing A Fonseca, F Cerveira, B Cabral, R Barbosa IEEE Transactions on Sustainable Computing 3 (3), 153-166, 2018 | 1 | 2018 |
| Understanding the impact of task granularity in the energy consumption of parallel programs A Fonseca, B Cabral Sustainable Computing: Informatics and Systems 17, 69-80, 2018 | 1 | 2018 |
| Evolving cut-off mechanisms and other work-stealing parameters for parallel programs A Fonseca, N Lourenço, B Cabral European Conference on the Applications of Evolutionary Computation, 757-772, 2017 | 1 | 2017 |
| MISO: An intermediate language to express parallel and dependable programs A Fonseca, R Barbosa arXiv preprint arXiv:1608.06171, 2016 | 1 | 2016 |
| Designing a Neural Network from Scratch for Big Data Powered by Multi-node GPUs A Fonseca, B Cabral Handbook of Deep Learning Applications, 1-19, 2019 | | 2019 |
| Evaluation of the impact on energy consumption of lazy versus strict evaluation of Haskell data-structures G Melfe, A Fonseca, JP Fernandes Proceedings of the XXII Brazilian Symposium on Programming Languages, 83-89, 2018 | | 2018 |
| Evaluating the Inherent Sensitivity of Programming Languages to Soft Errors F Cerveira, A Fonseca, R Barbosa, H Madeira 2018 14th European Dependable Computing Conference (EDCC), 65-72, 2018 | | 2018 |
| Overcoming the No Free Lunch Theorem in Cut-off Algorithms for Fork-Join programs A Fonseca, B Cabral Parallel Computing 76, 42-56, 2018 | | 2018 |
| Automatic Optimization of Granularity Control Algorithms for Parallel Programs AMCA Fonseca Universidade de Coimbra, 2017 | | 2017 |
Paulo MarquesUniversity of CoimbraEmail confirmado em dei.uc.pt