Baldomero Imbernon

Orcid: 0000-0002-2758-8364

According to our database1, Baldomero Imbernon authored at least 25 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Assignment and Take-Off Approaches for Large-Scale Autonomous UAV Swarms.
IEEE Trans. Intell. Transp. Syst., May, 2023

Using remote GPU virtualization techniques to enhance edge computing devices.
Future Gener. Comput. Syst., May, 2023

2021
Performance evaluation of edge-computing platforms for the prediction of low temperatures in agriculture using deep learning.
J. Supercomput., 2021

METADOCK 2: a high-throughput parallel metaheuristic scheme for molecular docking.
Bioinform., 2021

2020
Efficient GPU-based parallelization of solvation calculation for the blind docking problem.
J. Supercomput., 2020

Evaluation of Clustering Algorithms on GPU-Based Edge Computing Platforms.
Sensors, 2020

Maximizing resource usage in multifold molecular dynamics with rCUDA.
Int. J. High Perform. Comput. Appl., 2020

HYPERDOCK: Improving virtual screening through parallel hyperheuristics.
Int. J. High Perform. Comput. Appl., 2020

High-throughput fuzzy clustering on heterogeneous architectures.
Future Gener. Comput. Syst., 2020

QN-Docking: An innovative molecular docking methodology based on Q-Networks.
Appl. Soft Comput., 2020

Performance Evaluation of Clustering Algorithms on GPUs.
Proceedings of the Intelligent Environments 2020, 2020

2018
Exploiting multilevel parallelism on a many-core system for the application of hyperheuristics to a molecular docking problem.
J. Supercomput., 2018

METADOCK: A parallel metaheuristic schema for virtual screening methods.
Int. J. High Perform. Comput. Appl., 2018

Enhancing large-scale docking simulation on heterogeneous systems: An MPI vs rCUDA study.
Future Gener. Comput. Syst., 2018

Energy-based tuning of metaheuristics for molecular docking on multi-GPUs.
Concurr. Comput. Pract. Exp., 2018

Accelerating Drugs Discovery with Deep Reinforcement Learning: An Early Approach.
Proceedings of the 47th International Conference on Parallel Processing, 2018

Increasing Molecular Dynamics Simulations Throughput by Virtualizing Remote GPUs with rCUDA.
Proceedings of the 47th International Conference on Parallel Processing, 2018

Deep Learning Approach for Classifying Papanicolau Cervical Smears.
Proceedings of the 47th International Conference on Parallel Processing, 2018

Designing HYPERDOCK: A Parallel Hyperheuristic Method for Virtual Screening.
Proceedings of the 47th International Conference on Parallel Processing, 2018

2017
Parallel Desolvation Energy Term Calculation for Blind Docking on GPU Architectures.
Proceedings of the 46th International Conference on Parallel Processing Workshops, 2017

2016
Enhancing Metaheuristic-based Virtual Screening Methods on Massively Parallel and Heterogeneous Systems.
Proceedings of the 7th International Workshop on Programming Models and Applications for Multicores and Manycores, 2016

2015
Evaluation of the 3-D finite difference implementation of the acoustic diffusion equation model on massively parallel architectures.
Comput. Electr. Eng., 2015

Enhancing the Parallelization of Non-bonded Interactions Kernel for Virtual Screening on GPUs.
Proceedings of the Bioinformatics and Biomedical Engineering, 2015

2014
Parallel Computation of Non-Bonded Interactions in Drug Discovery: Nvidia GPUs vs. Intel Xeon Phi.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014

Application of parallel blind docking with BINDSURF for the study of platinum derived compounds as anticancer drugs.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014


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