Publicacions en què col·labora amb Antonio Francisco Díaz García (12)

2024

  1. Vampire: A smart energy meter for synchronous monitoring in a distributed computer system

    Journal of Parallel and Distributed Computing, Vol. 184

2022

  1. Boosting the convergence of a GA-based wrapper for feature selection problems on high-dimensional data

    GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference

  2. Energy Efficiency of Personal Computers: A Comparative Analysis

    Sustainability (Switzerland), Vol. 14, Núm. 19

2020

  1. A parallel and distributed multi-population GA with asynchronous migrations: Energy-time analysis for heterogeneous systems

    GECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion

  2. Multiprotocol authentication device for hpc and cloud environments based on elliptic curve cryptography

    Electronics (Switzerland), Vol. 9, Núm. 7, pp. 1-26

2019

  1. Energy-aware load balancing of parallel evolutionary algorithms with heavy fitness functions in heterogeneous CPU-GPU architectures

    Concurrency and Computation: Practice and Experience

  2. Time-energy analysis of multilevel parallelism in heterogeneous clusters: the case of EEG classification in BCI tasks

    Journal of Supercomputing, Vol. 75, Núm. 7, pp. 3397-3425

2018

  1. A power-performance perspective to multiobjective electroencephalogram feature selection on heterogeneous parallel platforms

    Journal of Computational Biology

  2. Multi-objective feature selection for EEG classification with multi-level parallelism on heterogeneous CPU-GPU clusters

    GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion

  3. Speedup and energy analysis of EEG classification for BCI tasks on CPU-GPU clusters

    ACM International Conference Proceeding Series

2017

  1. Parallel high-dimensional multi-objective feature selection for EEG classification with dynamic workload balancing on CPU–GPU architectures

    Cluster Computing, Vol. 20, Núm. 3, pp. 1881-1897

  2. Power-performance evaluation of parallel multi-objective EEG feature selection on CPU-GPU platforms

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)