Dora Blanco Heras

Publication Activity (10 Years)

Years Active: 1994-2023
Publications (10 Years): 9

Top Topics

Watershed Algorithm

Hyperspectral Images

Cellular Automata

Top Venues

Comput. Electr. Eng.

Publications

Raffaele Montella, Angelo Ciaramella, Marco Lapegna, Marco Danelutto, Dora Blanco Heras
Message from the General Chairs: PDP 2023. PDP (2023)
Raffaele Montella, Angelo Ciaramella, Marco Lapegna, Marco Danelutto, Dora Blanco Heras
Message from the Organizing Committee Chairs: PDP 2023. PDP (2023)
Pablo Quesada-Barriuso, Dora Blanco Heras, Francisco Argüello
GPU accelerated waterpixel algorithm for superpixel segmentation of hyperspectral images. J. Supercomput. 77 (9) (2021)
Javier Lopez-Fandino, Alberto S. Garea, Dora Blanco Heras, Francisco Argüello
Stacked Autoencoders for Multiclass Change Detection in Hyperspectral Images. IGARSS (2018)
Álvaro Ordóñez, Francisco Argüello, Dora Blanco Heras
Alignment of Hyperspectral Images Using KAZE Features. Remote. Sens. 10 (5) (2018)
Javier Lopez-Fandino, Dora Blanco Heras, Francisco Argüello, Richard J. Duro
CUDA multiclass change detection for remote sensing hyperspectral images using extended morphological profiles. IDAACS (2017)
Julián Lamas-Rodriguez, Dora Blanco Heras, Francisco Argüello, Dagmar Kainmueller, Stefan Zachow, Montserrat Bóo
GPU-accelerated level-set segmentation. J. Real Time Image Process. 12 (1) (2016)
Becerra Priego, Richard J. Duro, Javier Lopez-Fandino, Dora Blanco Heras, Francisco Argüello
Evolutionary cellular automata based approach to high-dimensional image segmentation for GPU projection. IJCNN (2016)
Alberto S. Garea, Dora Blanco Heras, Francisco Argüello
An open source desktop application for classification of remote sensing data. IDAACS (2015)
Juan Carlos Pichel, Juan Angel Lorenzo, Francisco F. Rivera, Dora Blanco Heras, Tomás F. Pena
Using sampled information: is it enough for the sparse matrix-vector product locality optimization? Concurr. Comput. Pract. Exp. 26 (1) (2014)
Pablo Quesada-Barriuso, Dora Blanco Heras, Francisco Argüello
Efficient 2D and 3D watershed on graphics processing unit: block-asynchronous approaches based on cellular automata. Comput. Electr. Eng. 39 (8) (2013)
Julián Lamas-Rodriguez, Dora Blanco Heras, Francisco Argüello, Stefan Zachow, Dagmar Kainmüller
Partitioning and mapping a fast level-set algorithm on the GPU. IDAACS (2013)
Francisco Argüello, Dora Blanco Heras, Montserrat Bóo, Julián Lamas-Rodriguez
The split-and-merge method in general purpose computation on GPUs. Parallel Comput. 38 (6-7) (2012)
Pablo Quesada-Barriuso, Dora Blanco Heras, Francisco Argüello
Efficient GPU Asynchronous Implementation of a Watershed Algorithm Based on Cellular Automata. ISPA (2012)
Pablo Quesada-Barriuso, Francisco Argüello, Dora Blanco Heras
Efficient segmentation of hyperspectral images on commodity GPUs. KES (2012)
Julián Lamas-Rodriguez, Francisco Argüello, Dora Blanco Heras, Montserrat Bóo
Memory Hierarchy Optimization for Large Tridiagonal System Solvers on GPU. ISPA (2012)
Juan Carlos Pichel, Juan Angel Lorenzo, Dora Blanco Heras, José Carlos Cabaleiro, Tomás Fernandez Pena
Analyzing the execution of sparse matrix-vector product on the Finisterrae SMP-NUMA system. J. Supercomput. 58 (2) (2011)
Dora Blanco Heras, David Otero, Francisco Argüello
An eco-feedback system for improving the sustainability performance of universities. VECIMS (2011)
Dora Blanco Heras, Francisco Argüello, J. Lopez Gomez, José Antonio Becerra, Richard J. Duro
Towards real-time hyperspectral image processing, a GP-GPU implementation of target identification. IDAACS (1) (2011)
Juan Carlos Pichel, Dora Blanco Heras, José Carlos Cabaleiro, Antonio J. García-Loureiro, Francisco F. Rivera
Increasing the Locality of Iterative Methods and Its Application to the Simulation of Semiconductor Devices. Int. J. High Perform. Comput. Appl. 24 (2) (2010)
Juan Carlos Pichel, Dora Blanco Heras, José Carlos Cabaleiro, Francisco F. Rivera
Increasing data reuse of sparse algebra codes on simultaneous multithreading architectures. Concurr. Comput. Pract. Exp. 21 (15) (2009)
Juan Carlos Pichel, Dora Blanco Heras, José Carlos Cabaleiro, Francisco F. Rivera
Performance optimization of irregular codes based on the combination of reordering and blocking techniques. Parallel Comput. 31 (8-9) (2005)
Juan Carlos Pichel, Dora Blanco Heras, José Carlos Cabaleiro, Francisco F. Rivera
A New Technique to Reduce False Sharing in Parallel Irregular Codes Based on Distance Functions. ISPAN (2005)
Vicente Blanco Pérez, Patricia González, José Carlos Cabaleiro, Dora Blanco Heras, Tomás F. Pena, Juan J. Pombo, Francisco F. Rivera
Performance Prediction for Parallel Iterative Solvers. J. Supercomput. 28 (2) (2004)
Juan Carlos Pichel, Dora Blanco Heras, José Carlos Cabaleiro, Francisco F. Rivera
Improving the Locality of the Sparse Matrix-Vector Product on Shared Memory Multiprocessors. PDP (2004)
Vicente Blanco Pérez, Patricia González, José Carlos Cabaleiro, Dora Blanco Heras, Tomás F. Pena, Juan J. Pombo, Francisco F. Rivera
AVISPA: visualizing the performance prediction of parallel iterative solvers. Future Gener. Comput. Syst. 19 (5) (2003)
Vicente Blanco Pérez, Patricia González, José Carlos Cabaleiro, Dora Blanco Heras, Tomás F. Pena, Juan J. Pombo, Francisco F. Rivera
Performance Prediction for Parallel Iterative Solvers. International Conference on Computational Science (2) (2002)
Dora Blanco Heras, Francisco F. Rivera, José Carlos Cabaleiro
Analytical Description of Locality for the Product of a Sparse Matrix by a Dense Matrix. PDPTA (2002)
Vicente Blanco Pérez, Patricia González, José Carlos Cabaleiro, Dora Blanco Heras, Tomás F. Pena, Juan J. Pombo, Francisco F. Rivera
A Performance Visualization Tool for HPF and MPI Iterative Solvers. IPDPS (2002)
Vicente Blanco Pérez, Patricia González, José Carlos Cabaleiro, Dora Blanco Heras, Tomás F. Pena, Juan J. Pombo, Francisco F. Rivera
Performance of Parallel Iterative Solvers: a Library, a Prediction Model, and a Visualization Tool. J. Inf. Sci. Eng. 18 (5) (2002)
Dora Blanco Heras, Vicente Blanco Pérez, José Carlos Cabaleiro, Francisco F. Rivera
Modeling and improving locality for the sparse-matrix-vector product on cache memories. Future Gener. Comput. Syst. 18 (1) (2001)
Dora Blanco Heras, José Carlos Cabaleiro, Francisco F. Rivera
Modeling data locality for the sparse matrix-vector product using distance measures. Parallel Comput. 27 (7) (2001)
Dora Blanco Heras, Vicente Blanco Pérez, José Carlos Cabaleiro, Francisco F. Rivera
Study of data locality for iterative methods. PARCO (1999)
Dora Blanco Heras, Vicente Blanco Pérez, José Carlos Cabaleiro, Francisco F. Rivera
Modeling and Improving Locality for Irregular Problems: Sparse Matrix-Vector Product on Cache Memories as a Cache Study. HPCN Europe (1999)
Vicente Blanco Pérez, Francisco F. Rivera, Dora Blanco Heras, Margarita Amor, Oscar G. Plata, Emilio L. Zapata
Modelling Superlinear Speedup on Distributed Memory Multiprocessors. PARCO (1997)
Margarita Amor, Juan López, Dora Blanco Heras, Francisco Argüello
Mapping and Scheduling of r-arys Trees onto Arrays and Meshes. PARCO (1997)
Dora Blanco Heras, José Carlos Cabaleiro, Vicente Blanco Pérez, Pablo Costas, Francisco F. Rivera
Principal Component Analysis on Vector Computers. VECPAR (1996)
Vicente Blanco Pérez, María J. Martín, Dora Blanco Heras, Oscar G. Plata, Francisco F. Rivera
Image Template Matching on Distributed Memory and Vector Multiprocessors. PARCO (1995)
Margarita Amor, María J. Martín, Dora Blanco Heras, Oscar G. Plata, Francisco F. Rivera, Francisco Argüello
Vectorization of the Radix r Self-Sorting FFT. CONPAR (1994)