Daniel Madroñal

发表

Run-time performance monitoring of hardware accelerators: POSTER

Tiziana Fanni, Daniel Madroñal, 2019, CF.

An Intraoperative Visualization System Using Hyperspectral Imaging to Aid in Brain Tumor Delineation

Guang-Zhong Yang, Gustavo Marrero Callicó, Roberto Sarmiento, 2018, Sensors.

Adaptation of an Iterative PCA to a Manycore Architecture for Hyperspectral Image Processing

Gustavo Marrero Callicó, Eduardo Juárez Martínez, Samuel Ortega, 2018, Journal of Signal Processing Systems.

Hyperspectral image classification using a parallel implementation of the linear SVM on a Massively Parallel Processor Array (MPPA) platform

Gustavo Marrero Callicó, Samuel Ortega, Himar Fabelo, 2016, 2016 Conference on Design and Architectures for Signal and Image Processing (DASIP).

HELICoiD: interdisciplinary and collaborative project for real-time brain cancer detection: Invited Paper

Gustavo Marrero Callicó, Roberto Sarmiento, Samuel Ortega, 2017, Conf. Computing Frontiers.

Spatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations

Guang-Zhong Yang, Roberto Sarmiento, Himar Fabelo, 2018, PloS one.

High-level design using Intel FPGA OpenCL: A hyperspectral imaging spatial-spectral classifier

Gustavo Marrero Callicó, Samuel Ortega, Himar Fabelo, 2017, 2017 12th International Symposium on Reconfigurable Communication-centric Systems-on-Chip (ReCoSoC).

Demo: HELICoiD tool demonstrator for real-time brain cancer detection

Gustavo Marrero Callicó, Samuel Ortega, Himar Fabelo, 2016, 2016 Conference on Design and Architectures for Signal and Image Processing (DASIP).

Hardware/Software Self-adaptation in CPS: The CERBERO Project Approach

Luigi Raffo, Maxime Pelcat, Karol Desnos, 2019, SAMOS.

Implementation of the Principal Component Analysis onto High-Performance Computer Facilities for Hyperspectral Dimensionality Reduction: Results and Comparisons

Sebastián López, José Francisco López, Roberto Sarmiento, 2018, Remote. Sens..

SVM-based real-time hyperspectral image classifier on a manycore architecture

Gustavo Marrero Callicó, Eduardo Juárez Martínez, Samuel Ortega, 2017, J. Syst. Archit..

Automatic instrumentation of dataflow applications using PAPI

Eduardo Juárez Martínez, Karol Desnos, César Sanz, 2018, CF.

In-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection

Guang-Zhong Yang, Roberto Sarmiento, David Carrera, 2019, IEEE Access.

Energy consumption characterization of a Massively Parallel Processor Array (MPPA) platform running a hyperspectral SVM classifier

Gustavo Marrero Callicó, Samuel Ortega, Himar Fabelo, 2017, 2017 Conference on Design and Architectures for Signal and Image Processing (DASIP).

Porting a PCA-based hyperspectral image dimensionality reduction algorithm for brain cancer detection on a manycore architecture

Gustavo Marrero Callicó, Maxime Pelcat, Eduardo Juárez Martínez, 2017, J. Syst. Archit..

A Unified Hardware/Software Monitoring Method for Reconfigurable Computing Architectures Using PAPI

Leonardo Suriano, Eduardo de la Torre, Eduardo Juárez, 2018, 2018 13th International Symposium on Reconfigurable Communication-centric Systems-on-Chip (ReCoSoC).

Runtime multi-versioning and specialization inside a memoized speculative loop optimizer

Philippe Clauss, Daniel Madroñal, Raquel Lazcano, 2020, CC.

Accelerating the K-Nearest Neighbors Filtering Algorithm to Optimize the Real-Time Classification of Human Brain Tumor in Hyperspectral Images

Gustavo Marrero Callicó, Roberto Sarmiento, Giovanni Danese, 2018, Sensors.

Parallel Implementations Assessment of a Spatial-Spectral Classifier for Hyperspectral Clinical Applications

Francesco Leporati, Himar Fabelo, Ruben Salvador, 2019, IEEE Access.

PAPIFY: Automatic Instrumentation and Monitoring of Dynamic Dataflow Applications Based on PAPI

Florian Arrestier, Karol Desnos, Daniel Menard, 2019, IEEE Access.

Parallel implementation of an iterative PCA algorithm for hyperspectral images on a manycore platform

Gustavo Marrero Callicó, Samuel Ortega, Himar Fabelo, 2017, 2017 Conference on Design and Architectures for Signal and Image Processing (DASIP).

Unmanned Vehicles in Smart Farming: a Survey and a Glance at Future Horizons

Francesca Palumbo, Andrea Marongiu, Alessandro Capotondi, 2021, DroneSE/RAPIDO@HiPEAC.