Raphael Y. de Camargo

According to our database, Raphael Y. de Camargo authored at least 42 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Geometric Neural Network based on Phase Space for BCI decoding.

Igor Carrara, Bruno Aristimunha, Marie-Constance Corsi, Raphael Y. de Camargo, Sylvain Chevallier, Théodore Papadopoulo

CoRR, 2024

A Systematic Evaluation of Euclidean Alignment with Deep Learning for EEG Decoding.

Bruna Junqueira, Bruno Aristimunha, Sylvain Chevallier, Raphael Y. de Camargo

CoRR, 2024

2023

Evaluating execution time predictions on GPU kernels using an analytical model and machine learning techniques.

Marcos Amaris, Raphael Y. de Camargo, Daniel Cordeiro, Alfredo Goldman, Denis Trystram

J. Parallel Distributed Comput., January, 2023

Evaluating the structure of cognitive tasks with transfer learning.

Bruno Aristimunha, Raphael Y. de Camargo, Walter Hugo Lopez Pinaya, Sylvain Chevallier, Alexandre Gramfort, Cédric Rommel

CoRR, 2023

Sleep-Energy: An Energy Optimization Method to Sleep Stage Scoring.

Bruno Aristimunha, Alexandre Janoni Bayerlein, M. Jorge Cardoso, Walter Hugo Lopez Pinaya, Raphael Yokoingawa de Camargo

IEEE Access, 2023

Real-time Incident Detection in Public Bus Systems Using Machine Learning.

Mayuri A. Morais, Raphael Y. de Camargo

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Applying Independent Vector Analysis on EEG-Based Motor Imagery Classification.

Caroline P. A. Moraes, Bruno Aristimunha, Lucas Heck Dos Santos, Walter Hugo Lopez Pinaya, Raphael Yokoingawa de Camargo, Denis G. Fantinato, Aline Neves

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Improving the performance of batch schedulers using online job runtime classification.

Salah Zrigui, Raphael Y. de Camargo, Arnaud Legrand, Denis Trystram

J. Parallel Distributed Comput., 2022

Predicting Dengue Outbreaks with Explainable Machine Learning.

Robson Aleixo, Fabio Kon, Rudi Rocha, Marcela Santos Camargo, Raphael Y. de Camargo

Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

2021

Computer architecture and high performance computing.

Raphael Y. de Camargo, Fabrizio Marozzo, Wellington Martins

Concurr. Comput. Pract. Exp., 2021

Efficient Prediction of Region-wide Traffic States in Public Bus Networks using LSTMs.

Marcos Amaris, Mayuri A. Morais, Raphael Y. de Camargo

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2019

A hybrid CPU-GPU-MIC algorithm for minimal hitting set enumeration.

Danilo Carastan-Santos, David Correa Martins Jr., Siang W. Song, Luiz C. S. Rozante, Raphael Y. de Camargo

Concurr. Comput. Pract. Exp., 2019

Evaluation of connectivity estimates using spiking neuronal network models.

Ronaldo V. Nunes, Marcelo Bussotti Reyes, Raphael Y. de Camargo

Biol. Cybern., 2019

PLB-HAC: Dynamic Load-Balancing for Heterogeneous Accelerator Clusters.

Luis Sant'Ana, Daniel Cordeiro, Raphael Y. de Camargo

Proceedings of the Euro-Par 2019: Parallel Processing, 2019

Real-Time Scheduling Policy Selection from Queue and Machine States.

Luis Sant'Ana, Danilo Carastan-Santos, Daniel Cordeiro, Raphael Y. de Camargo

Proceedings of the 19th IEEE/ACM International Symposium on Cluster, 2019

One Can Only Gain by Replacing EASY Backfilling: A Simple Scheduling Policies Case Study.

Danilo Carastan-Santos, Raphael Y. de Camargo, Denis Trystram, Salah Zrigui

Proceedings of the 19th IEEE/ACM International Symposium on Cluster, 2019

2018

Analysis of Potential Online Scheduling Improvements by Real-Time Strategy Selection.

Luis Felipe Sant'Ana, Danilo Carastan-Santos, Daniel Cordeiro, Raphael Y. de Camargo

Proceedings of the Symposium on High Performance Computing Systems, 2018

2017

Finding exact hitting set solutions for systems biology applications using heterogeneous GPU clusters.

Danilo Carastan-Santos, Raphael Y. de Camargo, David Correa Martins Jr., Siang W. Song, Luiz C. S. Rozante

Future Gener. Comput. Syst., 2017

Obtaining dynamic scheduling policies with simulation and machine learning.

Danilo Carastan-Santos, Raphael Y. de Camargo

Proceedings of the International Conference for High Performance Computing, 2017

2016

A comparison of GPU execution time prediction using machine learning and analytical modeling.

Marcos Amaris, Raphael Y. de Camargo, Mohamed Dyab, Alfredo Goldman, Denis Trystram

Proceedings of the 15th IEEE International Symposium on Network Computing and Applications, 2016

2015

A Simple BSP-based Model to Predict Execution Time in GPU Applications.

Marcos Amaris, Daniel Cordeiro, Alfredo Goldman, Raphael Y. de Camargo

Proceedings of the 22nd IEEE International Conference on High Performance Computing, 2015

PLB-HeC: A Profile-Based Load-Balancing Algorithm for Heterogeneous CPU-GPU Clusters.

Luis Sant'Ana, Daniel Cordeiro, Raphael Y. de Camargo

Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015

A Multi-GPU Hitting Set Algorithm for GRNs Inference.

Danilo Carastan-Santos, Raphael Yokoingawa de Camargo, David Correa Martins, Siang Wun Song, Luiz Carlos Silva Rozante, Fabrizio Ferreira Borelli

Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015

2014

A Parallel Maximum Subarray Algorithm on GPUs.

Cleber S. Ferreira, Raphael Y. de Camargo, Siang Wun Song

Proceedings of the 26th IEEE International Symposium on Computer Architecture and High Performance Computing Workshop, 2014

2013

Gene regulatory networks inference using a multi-GPU exhaustive search algorithm.

Fabrizio F. Borelli, Raphael Y. de Camargo, David Correa Martins Jr., Luiz C. S. Rozante

BMC Bioinform., 2013

2012

Accelerating gene regulatory networks inference through GPU/CUDA programming.

Fabrizio F. Borelli, Raphael Y. de Camargo, David Correa Martins Jr., Beatriz Stransky, Luiz C. S. Rozante

Proceedings of the IEEE 2nd International Conference on Computational Advances in Bio and Medical Sciences, 2012

2011

A multi-GPU algorithm for large-scale neuronal networks.

Raphael Y. de Camargo, Luiz C. S. Rozante, Siang W. Song

Concurr. Comput. Pract. Exp., 2011

A multi-GPU algorithm for communication in neuronal network simulations.

Raphael Y. de Camargo

Proceedings of the 18th International Conference on High Performance Computing, 2011

2010

Application execution management on the InteGrade opportunistic grid middleware.

Francisco José da Silva e Silva, Fabio Kon, Alfredo Goldman, Marcelo Finger, Raphael Y. de Camargo, Fernando Castor Filho, Fábio M. Costa

J. Parallel Distributed Comput., 2010

Reliable management of checkpointing and application data in opportunistic grids.

Raphael Y. de Camargo, Fernando Castor Filho, Fabio Kon

J. Braz. Comput. Soc., 2010

Exploiting a Generic Approach to Construct Component-Based Systems Software in Linux Environments.

Jo Ueyama, Edmundo R. M. Madeira, François Taïani, Raphael Y. de Camargo, Paul Grace, Geoff Coulson

Int. J. Softw. Eng. Knowl. Eng., 2010

2009

Efficient maintenance of distributed data in highly dynamic opportunistic grids.

Raphael Y. de Camargo, Fernando Castor Filho, Fabio Kon

Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), 2009

Exploiting a generic approach for constructing mobile device applications.

Jo Ueyama, Vítor P. V. Pinto, Edmundo R. M. Madeira, Paul Grace, Thienne M. M. Jonhson, Raphael Y. de Camargo

Proceedings of the 4th International Conference on COMmunication System softWAre and MiddlewaRE (COMSWARE 2009), 2009

2008

A group membership service for large-scale grids.

Fernando Castor Filho, Augusta Marques, Raphael Y. de Camargo, Fabio Kon

Proceedings of the 6th International Workshop on Middleware for Grid Computing (MGC 2008), 2008

2007

Distributed data storage and checkpointing of parallel applications in opportunistic grids (Armazenamento distribuído de dados e checkpointing de aplicações paralelas em grades oportunistas).

Raphael Yokoingawa de Camargo

PhD thesis, 2007

Design and Implementation of a Middleware for Data Storage in Opportunistic Grids.

Raphael Y. de Camargo, Fabio Kon

Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2007), 2007

2006

Strategies for Checkpoint Storage on Opportunistic Grids.

Raphael Y. de Camargo, Fabio Kon, Renato Cerqueira

IEEE Distributed Syst. Online, 2006

Checkpointing BSP parallel applications on the InteGrade Grid middleware.

Raphael Y. de Camargo, Andrei Goldchleger, Fabio Kon, Alfredo Goldman

Concurr. Comput. Pract. Exp., 2006

Distributed data storage for opportunistic grids.

Raphael Y. de Camargo, Fabio Kon

Proceedings of the 3rd international Middleware doctoral symposium, MDS '06, 2006

2005

Portable checkpointing and communication for BSP applications on dynamic heterogeneous Grid environments.

Raphael Y. de Camargo, Fabio Kon, Alfredo Goldman

Proceedings of the 17th Symposium on Computer Architecture and High Performance Computing (SBAC-PAD 2005), 2005

Strategies for storage of checkpointing data using non-dedicated repositories on Grid systems.

Raphael Y. de Camargo, Renato Cerqueira, Fabio Kon

Proceedings of the 3rd international workshop on Middleware for grid computing, 2005

2004

Checkpointing-based rollback recovery for parallel applications on the InteGrade grid middleware.

Raphael Y. de Camargo, Andrei Goldchleger, Fabio Kon, Alfredo Goldman

Proceedings of the 2nd Workshop on Middleware for Grid Computing, 2004