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Dora Blanco Heras

Dora B. Heras – Dora Heras

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affiliation: Universidade de Santiago de Compostela, Spain

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2010 – today

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2019
[e3]
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Gabriele Mencagli, Dora B. Heras, Valeria Cardellini, Emiliano Casalicchio, Emmanuel Jeannot, Felix Wolf, Antonio Salis, Claudio Schifanella, Ravi Reddy Manumachu, Laura Ricci, Marco Beccuti, Laura Antonelli, José Daniel García Sánchez, Stephen L. Scott:
Euro-Par 2018: Parallel Processing Workshops - Euro-Par 2018 International Workshops, Turin, Italy, August 27-28, 2018, Revised Selected Papers. Lecture Notes in Computer Science 11339, Springer 2019, ISBN 978-3-030-10548-8 [contents]
2018
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Francisco Argüello, David López Vilariño, Dora Heras, Alejandro Nieto:
GPU-based segmentation of retinal blood vessels. J. Real-Time Image Processing 14(4): 773-782 (2018)
[j16]
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Álvaro Ordóñez, Francisco Argüello, Dora Blanco Heras:
Alignment of Hyperspectral Images Using KAZE Features. Remote Sensing 10(5): 756 (2018)
[c22]
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Javier Lopez-Fandino, Alberto S. Garea, Dora Blanco Heras, Francisco Argüello:
Stacked Autoencoders for Multiclass Change Detection in Hyperspectral Images. IGARSS 2018: 1906-1909
[e2]
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Dora Blanco Heras, Luc Bougé, Gabriele Mencagli, Emmanuel Jeannot, Rizos Sakellariou, Rosa M. Badia, Jorge G. Barbosa, Laura Ricci, Stephen L. Scott, Stefan Lankes, Josef Weidendorfer:
Euro-Par 2017: Parallel Processing Workshops - Euro-Par 2017 International Workshops, Santiago de Compostela, Spain, August 28-29, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10659, Springer 2018, ISBN 978-3-319-75177-1 [contents]
2017
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Javier Lopez-Fandino, Blanca Priego, Dora B. Heras, Francisco Argüello:
GPU Projection of ECAS-II Segmenter for Hyperspectral Images Based on Cellular Automata. IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing 10(1): 20-28 (2017)
[j14]
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Álvaro Ordóñez, Francisco Argüello, Dora B. Heras:
GPU Accelerated FFT-Based Registration of Hyperspectral Scenes. IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing 10(11): 4869-4878 (2017)
[c21]
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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: 404-409
[e1]
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Yong Dou, Haixiang Lin, Guangyu Sun, Junjie Wu, Dora Heras, Luc Bougé:
Advanced Parallel Processing Technologies - 12th International Symposium, APPT 2017, Santiago de Compostela, Spain, August 29, 2017, Proceedings. Lecture Notes in Computer Science 10561, Springer 2017, ISBN 978-3-319-67951-8 [contents]
2016
[j13]
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Julián Lamas-Rodriguez, Dora Blanco Heras, Francisco Argüello, Dagmar Kainmueller, Stefan Zachow, Montserrat Bóo:
GPU-accelerated level-set segmentation. J. Real-Time Image Processing 12(1): 15-29 (2016)
[c20]
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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: 1593-1600
2015
[c19]
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Alberto S. Garea, Dora Blanco Heras, Francisco Argüello:
An open source desktop application for classification of remote sensing data. IDAACS 2015: 316-321
2014
[j12]
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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? Concurrency and Computation: Practice and Experience 26(1): 98-117 (2014)
2013
[j11]
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Pablo Quesada-Barriuso, Dora Blanco Heras, Francisco Argüello:
Efficient 2D and 3D watershed on graphics processing unit: block-asynchronous approaches based on cellular automata. Computers & Electrical Engineering 39(8): 2638-2655 (2013)
[c18]
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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: 681-686
2012
[j10]
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Francisco Argüello, Dora Blanco Heras, Montserrat Bóo, Julián Lamas-Rodriguez:
The split-and-merge method in general purpose computation on GPUs. Parallel Computing 38(6-7): 277-288 (2012)
[c17]
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Pablo Quesada-Barriuso, Dora Blanco Heras, Francisco Argüello:
Efficient GPU Asynchronous Implementation of a Watershed Algorithm Based on Cellular Automata. ISPA 2012: 79-86
[c16]
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Julián Lamas-Rodriguez, Francisco Argüello, Dora Blanco Heras, Montserrat Bóo:
Memory Hierarchy Optimization for Large Tridiagonal System Solvers on GPU. ISPA 2012: 87-94
[c15]
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Pablo Quesada-Barriuso, Francisco Argüello, Dora Blanco Heras:
Efficient segmentation of hyperspectral images on commodity GPUs. KES 2012: 2130-2139
2011
[j9]
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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. The Journal of Supercomputing 58(2): 195-205 (2011)
[c14]
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Dora Blanco Heras, Francisco Argüello, J. Lopez Gomez, J. A. Becerra, Richard J. Duro:
Towards real-time hyperspectral image processing, a GP-GPU implementation of target identification. IDAACS (1) 2011: 316-321
[c13]
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Dora Blanco Heras, David Otero, Francisco Argüello:
An eco-feedback system for improving the sustainability performance of universities. VECIMS 2011: 38-43
2010
[j8]
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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. IJHPCA 24(2): 136-153 (2010)

2000 – 2009

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2009
[j7]
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Juan Carlos Pichel, Dora Blanco Heras, José Carlos Cabaleiro, Francisco F. Rivera:
Increasing data reuse of sparse algebra codes on simultaneous multithreading architectures. Concurrency and Computation: Practice and Experience 21(15): 1838-1856 (2009)
2005
[j6]
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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 Computing 31(8-9): 858-876 (2005)
[c12]
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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: 306-311
2004
[j5]
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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. The Journal of Supercomputing 28(2): 177-191 (2004)
[c11]
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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: 66-71
2003
[j4]
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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 Generation Comp. Syst. 19(5): 721-733 (2003)
2002
[j3]
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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): 763-785 (2002)
[c10]
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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: 923-932
[c9]
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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
[c8]
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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: 178-184
2001
[j2]
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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 Generation Comp. Syst. 18(1): 55-67 (2001)
[j1]
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Dora Blanco Heras, José Carlos Cabaleiro, Francisco F. Rivera:
Modeling data locality for the sparse matrix-vector product using distance measures. Parallel Computing 27(7): 897-912 (2001)

1990 – 1999

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1999
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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: 201-210
[c6]
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Dora Blanco Heras, Vicente Blanco Pérez, José Carlos Cabaleiro, Francisco F. Rivera:
Study of data locality for iterative methods. PARCO 1999: 558-565
1997
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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: 689-692
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Margarita Amor, Juan López, Dora Blanco Heras, Francisco Argüello:
Mapping and Scheduling of r-arys Trees onto Arrays and Meshes. PARCO 1997: 719-722
1996
[c3]
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Dora Blanco Heras, José Carlos Cabaleiro, Vicente Blanco Pérez, Pablo Costas, Francisco F. Rivera:
Principal Component Analysis on Vector Computers. VECPAR 1996: 416-428
1995
[c2]
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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: 573-576
1994
[c1]
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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: 208-217

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