Alcides Fonseca
Alcides Fonseca
LASIGE, Departamento de Informática, Faculdade de Ciências, Universidade de Lisboa
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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
Æminiumgpu: an intelligent framework for gpu programming
A Fonseca, B Cabral
Facing the Multicore-Challenge III, 96-107, 2013
Prototyping a GPGPU neural network for deep-learning big data analysis
A Fonseca, B Cabral
Big Data Research 8, 50-56, 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
Evaluation of runtime cut-off approaches for parallel programs
A Fonseca, B Cabral
International Conference on Vector and Parallel Processing, 121-134, 2016
Controlling the granularity of automatic parallel programs
A Fonseca, B Cabral
Journal of Computational Science 17, 620-629, 2016
Dependency-based automatic parallelization of java applications
J Rafael, I Correia, A Fonseca, B Cabral
European Conference on Parallel Processing, 182-193, 2014
Eve: A parallel event-driven programming language
A Fonseca, J Rafael, B Cabral
European Conference on Parallel Processing, 170-181, 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
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
AeminiumGPU – A CPU-GPU Hybrid Runtime for the Aeminium Language
A Fonseca
Departamento de Engª Informática, Faculdade de ciências e Tecnologia …, 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
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
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
MISO: An intermediate language to express parallel and dependable programs
A Fonseca, R Barbosa
arXiv preprint arXiv:1608.06171, 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
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
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
Overcoming the No Free Lunch Theorem in Cut-off Algorithms for Fork-Join programs
A Fonseca, B Cabral
Parallel Computing 76, 42-56, 2018
Automatic Optimization of Granularity Control Algorithms for Parallel Programs
AMCA Fonseca
Universidade de Coimbra, 2017
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