Bruno Miguel Brás Cabral
AuthID: R-000-2VF
1
TITLE: Designing a Neural Network from Scratch for Big Data Powered by Multi-node GPUs
AUTHORS: Alcides Fonseca ; Bruno Cabral;
PUBLISHED: 2019, SOURCE: Handbook of Deep Learning Applications, VOLUME: 136
AUTHORS: Alcides Fonseca ; Bruno Cabral;
PUBLISHED: 2019, SOURCE: Handbook of Deep Learning Applications, VOLUME: 136
2
TITLE: Driving Profile using Evolutionary Computation
AUTHORS: Lourenco, N; Cabral, B; Granjal, J;
PUBLISHED: 2019, SOURCE: 2019 IEEE Congress on Evolutionary Computation, CEC 2019 in 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings
AUTHORS: Lourenco, N; Cabral, B; Granjal, J;
PUBLISHED: 2019, SOURCE: 2019 IEEE Congress on Evolutionary Computation, CEC 2019 in 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings
3
TITLE: Understanding the impact of task granularity in the energy consumption of parallel programs
AUTHORS: Fonseca, A ; Cabral, B;
PUBLISHED: 2018, SOURCE: SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS, VOLUME: 17
AUTHORS: Fonseca, A ; Cabral, B;
PUBLISHED: 2018, SOURCE: SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS, VOLUME: 17
4
TITLE: Language-Based Expression of Reliability and Parallelism for Low-Power Computing
AUTHORS: Alcides Fonseca ; Frederico Cerveira; Bruno Cabral; Raul Barbosa;
PUBLISHED: 2018, SOURCE: IEEE Trans. Sustain. Comput., VOLUME: 3, ISSUE: 3
AUTHORS: Alcides Fonseca ; Frederico Cerveira; Bruno Cabral; Raul Barbosa;
PUBLISHED: 2018, SOURCE: IEEE Trans. Sustain. Comput., VOLUME: 3, ISSUE: 3
5
TITLE: Overcoming the No Free Lunch Theorem in Cut-off Algorithms for Fork-Join programs
AUTHORS: Fonseca, A ; Cabral, B;
PUBLISHED: 2018, SOURCE: PARALLEL COMPUTING, VOLUME: 76
AUTHORS: Fonseca, A ; Cabral, B;
PUBLISHED: 2018, SOURCE: PARALLEL COMPUTING, VOLUME: 76
6
TITLE: Evaluation of Runtime Cut-off Approaches for Parallel Programs
AUTHORS: Fonseca, A ; Cabral, B;
PUBLISHED: 2017, SOURCE: 12th International Conference on High-Performance Computing for Computational Science (VECPAR) in HIGH PERFORMANCE COMPUTING FOR COMPUTATIONAL SCIENCE - VECPAR 2016, VOLUME: 10150
AUTHORS: Fonseca, A ; Cabral, B;
PUBLISHED: 2017, SOURCE: 12th International Conference on High-Performance Computing for Computational Science (VECPAR) in HIGH PERFORMANCE COMPUTING FOR COMPUTATIONAL SCIENCE - VECPAR 2016, VOLUME: 10150
7
TITLE: Prototyping a GPGPU Neural Network for Deep-Learning Big Data Analysis
AUTHORS: Alcides Fonseca ; Bruno Cabral;
PUBLISHED: 2017, SOURCE: Big Data Res., VOLUME: 8
AUTHORS: Alcides Fonseca ; Bruno Cabral;
PUBLISHED: 2017, SOURCE: Big Data Res., VOLUME: 8
