Alcides Fonseca

2018
Melfe, G., A. Fonseca, and J. Paulo Fernandes, "Evaluation of the impact on energy consumption of lazy versus strict evaluation of Haskell data-structures", Proceedings of the XXII Brazilian Symposium on Programming Languages: ACM, pp. 83–89, 2018.
Melfe, G., A. Fonseca, and J. Paulo Fernandes, "Helping developers write energy efficient Haskell through a data-structure evaluation", 2018 IEEE/ACM 6th International Workshop on Green And Sustainable Software (GREENS): IEEE, pp. 9–15, 2018.
Fonseca, A., F. Cerveira, B. Cabral, and R. Barbosa, "Language-Based Expression of Reliability and Parallelism for Low-Power Computing", IEEE Transactions on Sustainable Computing, vol. 3, no. 3: IEEE, pp. 153–166, 2018.
Fonseca, A., and B. Cabral, "Overcoming the No Free Lunch Theorem in Cut-off Algorithms for Fork-Join programs", Parallel Computing, vol. 76: Elsevier, pp. 42–56, 2018.
Fonseca, A., and B. Cabral, "Understanding the impact of task granularity in the energy consumption of parallel programs", Sustainable Computing: Informatics and Systems, vol. 17: Elsevier, pp. 69–80, 2018.
2017
Fonseca, A., N. Lourenço, and B. Cabral, "Evolving Cut-Off Mechanisms and Other Work-Stealing Parameters for Parallel Programs", European Conference on the Applications of Evolutionary Computation: Springer, pp. 757–772, 2017.
Fonseca, A., and B. Cabral, "Prototyping a GPGPU Neural Network for Deep-Learning Big Data Analysis", Big Data Research, vol. 8: Elsevier, pp. 50–56, 2017.
2016
Fonseca, A., B. Cabral, J. Rafael, and I. Correia, "Automatic parallelization: Executing sequential programs on a task-based parallel runtime", International Journal of Parallel Programming, vol. 44, no. 6: Springer, pp. 1337–1358, 2016.
Fonseca, A., and B. Cabral, "Controlling the granularity of automatic parallel programs", Journal of Computational Science, vol. 17: Elsevier, pp. 620–629, 2016.
Fonseca, A., and B. Cabral, "Evaluation of runtime cut-off approaches for parallel programs", Proceedings of the 12th International Meeting on High Performance Computing for Computational Science (VECPAR 2016). Springer, 2016.
Fonseca, A., and B. Cabral, "Evaluation of runtime cut-off approaches for parallel programs", International Conference on Vector and Parallel Processing: Springer, pp. 121–134, 2016.
Fonseca, A., and R. Barbosa, "MISO: An intermediate language to express parallel and dependable programs", arXiv preprint arXiv:1608.06171, 2016.