Dora Blanco Heras

发表

Efficient 2D and 3D watershed on graphics processing unit: block-asynchronous approaches based on cellular automata

Francisco Argüello, Pablo Quesada-Barriuso, Dora Blanco Heras, 2013, Comput. Electr. Eng..

A performance visualization tool for HPF and MPI iterative solvers

Tomás F. Pena, Francisco F. Rivera, José Carlos Cabaleiro, 2002, Proceedings 16th International Parallel and Distributed Processing Symposium.

Analytical Description of Locality for the Product of a Sparse Matrix by a Dense Matrix

Francisco F. Rivera, José Carlos Cabaleiro, Dora Blanco Heras, 2002, PDPTA.

Modelling Superlinear Speedup on Distributed Memory Multiprocessors

Francisco F. Rivera, Emilio L. Zapata, Oscar G. Plata, 1997, PARCO.

Vectorization of the Radix r Self-Sorting FFT

Francisco Argüello, Francisco F. Rivera, Oscar G. Plata, 1994, CONPAR.

Using sampled information: is it enough for the sparse matrix–vector product locality optimization?

Tomás F. Pena, Francisco F. Rivera, Juan Carlos Pichel, 2014, Concurr. Comput. Pract. Exp..

Efficient GPU Asynchronous Implementation of a Watershed Algorithm Based on Cellular Automata

Francisco Argüello, Pablo Quesada-Barriuso, Dora Blanco Heras, 2012, 2012 IEEE 10th International Symposium on Parallel and Distributed Processing with Applications.

Principal Component Analysis on Vector Computers

Francisco F. Rivera, José Carlos Cabaleiro, Vicente Blanco Pérez, 1996, VECPAR.

Alignment of Hyperspectral Images Using KAZE Features

Francisco Argüello, Álvaro Ordóñez, Dora Blanco Heras, 2018, Remote. Sens..

Partitioning and mapping a fast level-set algorithm on the GPU

Francisco Argüello, Stefan Zachow, Dora Blanco Heras, 2013, 2013 IEEE 7th International Conference on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS).

A new technique to reduce false sharing in parallel irregular codes based on distance functions

Francisco F. Rivera, Juan Carlos Pichel, José Carlos Cabaleiro, 2005, 8th International Symposium on Parallel Architectures,Algorithms and Networks (ISPAN'05).

Towards real-time hyperspectral image processing, a GP-GPU implementation of target identification

Richard J. Duro, Francisco Argüello, José Antonio Becerra, 2011, Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems.

Increasing the Locality of Iterative Methods and Its Application to the Simulation of Semiconductor Devices

Antonio J. García-Loureiro, Francisco F. Rivera, Juan Carlos Pichel, 2010, Int. J. High Perform. Comput. Appl..

Study of data locality for iterative methods

Francisco F. Rivera, José Carlos Cabaleiro, Vicente Blanco Pérez, 1999, PARCO.

An open source desktop application for classification of remote sensing data

Francisco Argüello, Dora Blanco Heras, Alberto S. Garea, 2015, 2015 IEEE 8th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS).

Performance optimization of irregular codes based on the combination of reordering and blocking techniques

Francisco F. Rivera, Juan Carlos Pichel, José Carlos Cabaleiro, 2005, Parallel Comput..

Performance of Parallel Iterative Solvers: a Library, a Prediction Model, and a Visualization Tool

Tomás F. Pena, Francisco F. Rivera, José Carlos Cabaleiro, 2002, J. Inf. Sci. Eng..

Modeling data locality for the sparse matrix-vector product using distance measures

Francisco F. Rivera, José Carlos Cabaleiro, Dora Blanco Heras, 2001, Parallel Comput..

Image Template Matching on Distributed Memory and Vector Multiprocessors

Francisco F. Rivera, Oscar G. Plata, María J. Martín, 1995, PARCO.

Modeling and Improving Locality for Irregular Problems: Sparse Matrix-Vector Product on Cache Memories as a Cache Study

Francisco F. Rivera, José Carlos Cabaleiro, Vicente Blanco Pérez, 1999, HPCN Europe.

Mapping and Scheduling of r-arys Trees onto Arrays and Meshes

Francisco Argüello, Juan López, Margarita Amor, 1997, PARCO.

Improving the locality of the sparse matrix-vector product on shared memory multiprocessors

Francisco F. Rivera, Juan Carlos Pichel, José Carlos Cabaleiro, 2004, 12th Euromicro Conference on Parallel, Distributed and Network-Based Processing, 2004. Proceedings..

The split-and-merge method in general purpose computation on GPUs

Francisco Argüello, Montserrat Bóo, Dora Blanco Heras, 2012, Parallel Comput..

Efficient segmentation of hyperspectral images on commodity GPUs

Pablo Quesada-Barriuso, Dora Blanco Heras, Francisco Argüello, 2012, KES.

An eco-feedback system for improving the sustainability performance of universities

Francisco Argüello, Dora Blanco Heras, David Otero, 2011, 2011 IEEE International Conference on Virtual Environments, Human-Computer Interfaces and Measurement Systems Proceedings.

CUDA multiclass change detection for remote sensing hyperspectral images using extended morphological profiles

Richard J. Duro, Dora Blanco Heras, Francisco Argüello, 2017, 2017 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS).

GPU-accelerated level-set segmentation

Francisco Argüello, Montserrat Bóo, Stefan Zachow, 2016, Journal of Real-Time Image Processing.

AVISPA: visualizing the performance prediction of parallel iterative solvers

Tomás F. Pena, Francisco F. Rivera, José Carlos Cabaleiro, 2003, Future Gener. Comput. Syst..

Stacked Autoencoders for Multiclass Change Detection in Hyperspectral Images

Dora Blanco Heras, Alberto S. Garea, Francisco Argüello, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

Increasing data reuse of sparse algebra codes on simultaneous multithreading architectures

Francisco F. Rivera, Juan Carlos Pichel, José Carlos Cabaleiro, 2009, Concurr. Comput. Pract. Exp..

Analyzing the execution of sparse matrix-vector product on the Finisterrae SMP-NUMA system

Tomás F. Pena, Juan Carlos Pichel, José Carlos Cabaleiro, 2010, The Journal of Supercomputing.

Memory Hierarchy Optimization for Large Tridiagonal System Solvers on GPU

Francisco Argüello, Montserrat Bóo, Dora Blanco Heras, 2012, 2012 IEEE 10th International Symposium on Parallel and Distributed Processing with Applications.

Modeling and improving locality for the sparse-matrix-vector product on cache memories

Francisco F. Rivera, José Carlos Cabaleiro, Vicente Blanco Pérez, 2001, Future Gener. Comput. Syst..

Evolutionary cellular automata based approach to high-dimensional image segmentation for GPU projection

Richard J. Duro, Dora Blanco Heras, Becerra Priego, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Performance Prediction for Parallel Iterative Solvers

Tomás F. Pena, Francisco F. Rivera, José Carlos Cabaleiro, 2002, The Journal of Supercomputing.