G Ester Martín Garzón

General Information

Associate Professor
Computer Architecture and Technology
University of Almeria

Address:
CITE III. Room 1.16
Informatics Department
Ctra. Sacramento s/n. Cañada de San Urbano. Almeria 04120. Spain

Education:
B.Sc. in Physics at the University of Granada, Spain.
Ph.D. in Computer Science at the University of Almeria, Spain

Teaching

Current teaching in my UAL site

Research

Main lines

• High Performance Computing
• GPU Computing
• Sparse Matrix Computation. FastSparse
• Tomography and Image Processing
• Scientific Computation

Current Research Projects

• Aplicaciones cientificas con alta demanda computacional. TIN2012-37483-C03-01/02/03.
  Entidad Financiadora: Ministerio de Ciencia e Innovación. Programa Nacional de Investigación Cientifica, Desarrollo e Innovación Tecnológica 2008-2011.
  Financiación: 159.700,00 Euros
  Investigador Principal: I García/ JJ Fernández / L Gonzalez
  Número de Investigadores: 23
  Desde 2013 - 2015
• Modelado y Optimización de Problemas de la Industria Alimentaria basados en Computación de Altas Prestaciones. MOPIA-HPC. P12-TIC-301
  Entidad financiadora: PROYECTOS DE EXCELENCIA, JUNTA DE ANDALUCÍA
  Entidades participantes: Universidad de Almería
  Duración, desde: 30/01/2014 hasta: 29/01/2018
  Cuantía de la subvención: 127.579,00€
  Investigador responsable: Martinez-Ortigosa, Pilar
  Número de investigadores participantes: 5
  

Thesis

• G Ortega. High Performance Computing for solving large sparse systems. Optical Diffraction Tomography as a case of study. PhD thesis, Universidad de Almería, 2014.
• F Vázquez. Computación Algebraica Dispersa con Procesadores Gráficos y su Aplicación en Tomografía Electrónica. PhD thesis, Universidad de Almería, 2011.
• S. Tabik. Parallel Computing of Partial Differential Equations-based Applications. PhD thesis, Universidad de Almería, 2006.

International Publications

• G. Ortega, J Lobera, I. García, P Arroyo, E.M. Garzón Parallel resolution of the 3D Helmholtz equation based on multi-graphics processing unit clusters Concurrency and Computation: Practice and Experience 27(13):3205–3219 2015. DOI:10.1002/cpe.3212 Impact Factor JCR = 0.997
• J. Ranilla, E. M. Garzon, J. Vigo-Aguiar High performance computing: an essential tool for science and engineering breakthroughs Journal of Supercomputing 70:511–513 2014 DOI:10.1007/s11227-014-1279-6 Impact Factor JCR = 0.858
• S. Tabik, G. Ortega, E. M. Garzón Performance evaluation of kernel fusion BLAS routines on the GPU: iterative solvers as case study Journal of Supercomput 70:577–587. 2014 DOI:10.1007/s11227-014-1102-4 Impact FactorJCR = 0.858
• J. M. García-Martínez, E. M. Garzón, P. M. Ortigosa A GPU implementation of a hybrid evolutionary algorithm: GPuEGO Journal of Supercomputing 70:684–695 2014 DOI:10.1007/s11227-014-1136-7 Impact Factor JCR =0.858
• G. Ortega, F. Vázquez, E.M. Garzon, I. García FastSpMM: An Efficient Library for Sparse Matrix Matrix Product on GPUs The Computer Journal 57:968-979 2013 DOI: Impact Factor JCR = 0.89
• J.M. Molero, E.M. Garzón, A. Plaza, I. García Analysis and Optimizations of Global and Local Versions of the RX Algorithm for Anomaly Detection in Hyperspectral Data IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 6(2):801-813 2013 DOI:10.1109/JSTARS.2013.2238609 Impact Factor JCR = 2.83
• J.M. Molero, E.M. Garzón, A. Plaza, I. García Anomaly detection based on a parallel kernel RX algorithm for multicore platforms Journal of Applied Remote Sensing. 6:06150301-06150310 2012. Impact Factor JCR = 0.88
• G. Ortega, E. M. Garzón, F. Vázquez and I. García The BiConjugate gradient method on GPUs. The Journal of Supercomputing 64(1):49-58 2013. DOI: 10.1007/s11227-012-0761-2 JCR = 0.84
• J.I. Agulleiro, F. Vázquez, E.M. Garzon and J.J. Fernandez Hybrid computing:CPU-GPU co-processing and its application to tomographic reconstruction.. Ultramicroscopy Volume 115, 109–114. 2012. DOI: 10.1016/j.ultramic.2012.02.003. Impact Factor JCR = 2.47
• F. Vazquez, J.J. Fernandez, E.M. Garzon. Automatic tuning of the sparse matrix vector product on GPUs based on the ELLR-T approach, Parallel Computing, Vol 38(8) pp 408-420 August 2012, ISSN 0167-8191, DOI: 10.1016/j.parco.2011.08.003. Impact Factor JCR = 1.21
• F. Vázquez, E.M. Garzon and J.J. Fernandez. Matrix Implementation of Simultaneous Iterative Reconstruction Technique (SIRT) on GPUs The Computer Journal (2011) doi: 10.1093/comjnl/bxr033. JCR = 0.785
• F. Vazquez, J.J. Fernandez and E.M. Garzon. A new approach for sparse matrix vector product on NVIDIA GPUs. Concurrency and Computation: Practice and Experience. Vol 23. pp 815–826. 2011. doi: 10.1002/cpe.1658. Impact Factor JCR = 0.64
• F. Vazquez, E.M. Garzon and J.J. Fernandez. A matrix approach to tomographic reconstruction and its implementation on GPUs. Journal of Structural Biology, Vol. 170, pp. 146-151. 2010. Impact Factor JCR = 3.5
• J.I. Agulleiro, E.M. Garzon, I. Garcia and J.J. Fernandez. Vectorization with SIMD extensions speeds up reconstruction in electron tomography. Journal of Structural Biology, Vol. 170, pp. 570-575. 2010. Impact Factor JCR = 3.5
• J. Martinez, F. Almeida, E.M. Garzon, A. Acosta and V. Blanco. Adaptive load balancing of iterative computation on heterogeneous nondedicated systems. The Journal of Supercomputing. 2011. doi: 10.1007/s11227-011-0595-3 Impact Factor JCR = 0.578
• J. Molero, A. Paz, E. M. Garzon, J. Martinez, A. Plaza, and I. Garcia. Fast anomaly detection in hyperspectral images with RX method on heterogeneous clusters. The Journal of Supercomputing. 2011. doi:10.1007/s11227-011-0598-0. Impact Factor JCR = 0.578
• J.A. Martinez, E.M. Garzon, A. Plaza and I. Garcia. Automatic Tuning of iterative computation on Heterogeneous Multiprocessors with ADITHE. Journal of Supercomputing. Impact Factor JCR = 0.578
• S. Tabik, L.F. Romero, E.M. Garzon, and J.I. Ramos. On a model of three-dimensional bursting and its parallel implementation. Computer Physics Communications, Vol. 178, n. 7, pp. 471-485; 2008. Impact Factor JCR = 2.120.
• S. Tabik, L.F. Romero, E.M. Garzon, and J.I. Ramos. Three-dimensional Bursting and Parallel Computing. International Journal for Multiscale Computational Engineering, Vol. 5, n. 1, pp. 39-46; 2007. Impact Factor JCR = 0.679
• S. Tabik, E.M. Garzon, I. Garcia, and J.J. Fernandez. High Performance Noise Reduction for Biomedical Multidimensional Data. Digital Signal Processing, Vol. 17, n. 4, pp. 724-736. 2007. Impact Factor JCR = 0.853
• E.M. Garzon and I. Garcia. Approaches Based on Permutations for Partitioning Sparse Matrices on Multiprocessors. Journal of Supercomputing, Vol. 34, pp. 41-61. 2005. Impact Factor JCR = 0.482.
• E.M. Garzon, S. Tabik, A.R. Bretones, and I. Garcia. Analysis of the Interaction of ElectromagneticSign als with Thin-Wires Structures. Multiprocessing Issues for an Iterative Method. Lecture Notes in Computer Science, Vol. 3402, pp. 78-89. 2005. Impact Factor JCR = 0.402.
• J.J. Fernandez, I. Garcia, and E.M. Garzon. Educational Issues on Number Representation and Arithmetic in Computers: An Undergraduate Laboratory. IEEE Transactions On Education, Vol.46, n. 4, pp. 477-485. 2003. Impact Factor JCR = 0.426.
• J.J. Fernandez, I. Garcia, and E.M. Garzon. Floating Point Arithmetic Teaching for Computational Science. Future Generation Computer Systems, Vol. 19, n. 8, pp. 1321-1334. 2003. Impact Factor JCR = 0.007
• E.M. Garzon and I. Garcia. A Parallel Implementation of the Eigenproblem of Large, Symmetric and Sparse Matrices. Lecture Notes in Computer Science, Recent Advances in Parallel Virtual Machine and Message Passing Interface, Vol. 1697, pp. 380-387. 1999. Indicios de calidad: JCR = 0.872.
• S. Tabik, L.F. Romero, E.M. Garzon, I. Garcia and J.I. Ramos. Three-Dimensional Bursting Simulation on Two Parallel Systems. Lecture Notes in Computer Science, ICCSA 2007-Computational Science and Its Applications, Vol. 4707, pp. 941-949. 2007.
• S. Tabik, L.F. Romero, E.M. Garzon, and J.I. Ramos. Parallel Simulation of Three-Dimensional Bursting with MPI and OpenMP. Lecture Notes in Computer Science, ICCS 2006 International Conference, Vol. 3992, pp. 106-113; 2006.
• S. Tabik, E.M. Garzon, I. Garcia, and J.J. Fernandez. Evaluation of Parallel Paradigms on Anisotropic Nonlinear Diffusion. Euro-Par 2006 Parallel Processing, Lecture Notes in Computer Science, Vol. 4128, pp. 1159-1168; 2006.
• E.M. Garzon and I. Garcia. Solving eigenproblems on multicomputers: Two different approaches. International Journal of Computers and Applications, Vol. 26, n. 4, pp. 213-222; ISSN: 1206-212X. 2004.
• P.M. Ortigosa, O. Lopez, R. Estrada, I. Garcia, and E. M. Garzon. A VHDL library to analyse fault tolerant techniques. Lecture Notes in Computer Science, Field Programmable Logic and Application, Vol. 2778, pp. 1036-1039. 2003.
• E.M. Garzon, I. Garcia, and J.J. Fernandez. An Approach to Teaching Computer Arithmetic. Lecture Notes in Computer Science, High Performance Computing for Computational Science - VECPAR 2002, 5th International Conference, Vol. 2565, pp. 269-283; ISSN: 0302-9743. 2003.
• E.M. Garzon and I. Garcia. Parallel implementation for large and sparse eigenproblems. Acta Cybernetica, Vol. 15, n. 2, pp. 137-149. 2001.
• Tabik S, E.M. Garzon, I. Garcia, and J.J. Fernandez. Implementation of Anisotropic Nonlinear Diffusion for Filtering 3D images in Structural Biology on SMP Clusters. In Parallel Computing: Current and Future Issues of High-End Computing, volume 33 of NIC series, pages 727-734. John von Neumann Institute for Computing, 2006.
• I. Garcia, E.M. Garzon, J.C. Cabaleiro, J.M. Carazo, and E.L. Zapata. Parallel tridiagonalization of symmetric matrices based on Lanczos method. In Parallel Computing and Transputer Applications(Transputer and OCCAM Engineering Series), pages 237-245. IOS Press, 1992.

Proceedings

• J.A. Martinez, F. Vazquez, E.M. Garzon, and JJ Fernandez. Real-time electron tomography based on GPU computing. In 1st Workshop on High Performance Bioinformatics and Biomedicine (HiBB). EuroPar2010. Lecture Notes in Computer Science2011, Volume 6586/2011, 201-208, DOI: 10.1007/978-3-642-21878-1_25
• J.I. Agulleiro, G.E.M. Garzon, I. Garcia, and J.J. Fernandez. Ultra-fast tomographic reconstruction with a highly optimized weighted back-projection algorithm. In Proceedings of the 18th Euromicro Conference on Parallel, Distributed and Network-Based Processing, Toulouse, France, 2010. IEEE Press.
• F. Vazquez, G. Ortega, J.J. Fernandez, and E.M. Garzon. Improving the performance of the sparse matrix vector product with GPUs. In 10th IEEE International Conference on Computer and Information Technology. CIT 2010, pages 1146-1151. IEEE Computer Society, 2010.
• A. Acosta, F. Almeida, V. Blanco, E.M. Garzon, and J.A. Martinez. Load Balancing on nondedicated heterogeneous systems with the ALBIC library. In 10th International Conference on Computational and Mathematical Methods in Science and Engineering. CMMSE, pages 13-24, 2010.
• A. Paz, J.M. Molero, E.M. Garzon, J.A. Martinez, and A. Plaza. A New Parallel Implementation of the RX Algorithm for Anomaly Detection in Hyperspectral Images. In 10th International Conference on Computational and Mathematical Methods in Science and Engineering. CMMSE, pages 742-752, 2010.
• F. Vazquez, G. Ortega, J.J. Fernandez, and E.M. Garzon. Evaluating the sparse matrix vector product on multi-GPUs. In 10th International Conference on Computational and Mathematical Methods in Science and Engineering. CMMSE, pages 961-972, 2010.
• J.A. Martnez, E.M. Garzon, A. Plaza, and I. Garcia. ADITHE: An approach to optimise iterative computation on heterogeneous multiprocessors. In Proceedings of the 2009 International Conference on Computational and Mathematical Methods in Science and Engineering, volume 2, pages 665-676. CMMSE, 2009.
• F. Vazquez, E.M. Garzon, J.A. Martinez, and J.J. Fernandez. Accelerating sparse matrix vector product with GPUs. In Proceedings of the 2009 International Conference on Computational and Mathematical Methods in Science and Engineering, volume 2, pages 1081-1092. CMMSE, 2009.
• J.I. Agulleiro, E.M. Garzon, I. Garcia, and J.J. Fernandez. Fast tomographic reconstruction with vectorized backprojection. In Proceedings of the 16-th Euromicro Conference on Parallel, Distributed and Network based Processing. PDP2008, pages 387-390, Toulouse, France, 2008. IEEE Press.
• E. Vicente, J.I. Agulleiro, E.M. Garzon, and J.J. Fernandez. Matrix Weighted Back-Projection Accelerates Tomographic Reconstruction. In Proceedings of the 2nd Intl. Conf. Advanced Engineering Computing and Applications in Sciences, 2008. ADVCOMP 2008, pages 223-228, Valencia, 2008. IEEE Press.
• S. Tabik, E. M. Garzon, I. Garcia, and J.J. Fernandez. Multiprocessing of Anisotropic Nonlinear Diffusion for Filtering 3D images. In Proceedings of the 14-th Euromicro Conference on Parallel, Distributed and Network based Processing. PDP2006, pages 21-27, Montbeliard-sochaux, France, 2006. IEEE Press.
• E. M. Garzon, S. Tabik, I. Garcia, and A.R. Bretones. Multiprocessing of the time domain analysis of thin-wire antennas and scatterers. In Proceedings of the 12-th Euromicro Conference on Parallel, Distributed and Network based Processing. PDP2004, pages 80{87, A Coruña, (Spain), 2004. IEEE Press.
• E.M. Garzon, S. Tabik, A. R. Bretones, and I. Garcia. Analysis of the interaction of electromagnetic signals with thin-wires structures. Multiprocessing issues for an iterative method. In Proceeding of the 6th international meeting VECPAR-04, High Performance Computing for Computational Science, volume II, pages 513-524, Valencia, Spain, 2004.
• E.M. Garzon, I. Garcia, and J.J. Fernandez. An approach for teaching computer arithmetic. In Proceeding of the 5th international meeting VECPAR 2002, High Performance Computing for Computational Science, Part I, pages 85-98, 2002.
• E.M. Garzon and I. Garcia. Evaluation of parallel approaches for large eigenproblems. In Proceedings of the Nineteenth IASTED International Conference Applied Informatics: Advances in Computer Applications, pages 396-401, Innsbruck (Austria), February 2001.
• E.M. Garzon and I. Garcia. Parallel Implementation of the Large and Symmetric Eigenproblem. In Volume of the extended abstract of the Conference on PhD Student in Computer Science (CSCS), pages 33-34, Szeged (Hungary), July 2000.
• E.M. Garzon and I. Garcia. Partition of sparse matrices for multiprocessor systems. In Volume of the extended abstract of the International Workshop on Parallel Matrix Algorithms and Applications, Neuchatel (Switzerland), August 2000.
• E.M. Garzon and I. Garcia. Evaluation of the Work Load Balance in Irregular Problems Using Value Based Data Distributions. In Proceedings of the IASTED International Conference Parallel and Distributed Systems. Euro-PDS'97, pages 137-143, 1997.
• E.M. Garzon and I. Garcia. Parallel Implementation of the Lanczos Method for Sparse Matrices: Analysis of the Data Distributions. In Proceedings of the 10th ACM International Conference on Supercomputing, pages 294-300. ACM, 1996.

Contact me

gmartin at ual.es
Email