Alcides Fonseca

Fonseca, A., Lourenço N., & Cabral B. (2017).  Evolving Cut-Off Mechanisms and Other Work-Stealing Parameters for Parallel Programs. European Conference on the Applications of Evolutionary Computation. 757–772.
Fonseca, A., Cerveira F., Cabral B., & Barbosa R. (2017).  Language-based expression of reliability and parallelism for low-power computing. IEEE Transactions on Sustainable Computing.
Fonseca, A., & Cabral B. (2017).  Prototyping a GPGPU Neural Network for Deep-Learning Big Data Analysis. Big Data Research. 8, 50–56.
Fonseca, A., & Cabral B. (2017).  Understanding the impact of task granularity in the energy consumption of parallel programs. Sustainable Computing: Informatics and Systems.
Fonseca, A., Cabral B., Rafael J., & Correia I. (2016).  Automatic parallelization: Executing sequential programs on a task-based parallel runtime. International Journal of Parallel Programming. 44, 1337–1358.
Fonseca, A., & Cabral B. (2016).  Controlling the granularity of automatic parallel programs. Journal of Computational Science. 17, 620–629.
Fonseca, A., & Cabral B. (2016).  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.
Fonseca, A., & Barbosa R. (2016).  MISO: An intermediate language to express parallel and dependable programs. arXiv preprint arXiv:1608.06171.