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Datos personales Todos / Ninguno
Correo Electrónico
Artículos Todos / Ninguno
Quantum algorithms to compute the neighbour list of N-body simulations
Lowering the cost of quantum comparator circuits
Quantum circuits for computing Hamming distance requiring fewer T gates
A quantum circuit to generate random numbers within a specific interval
Active and passive microrheology with large tracers in hard colloids
Fault-tolerant quantum algorithm for dual-threshold image segmentation
Optimized quantum leading zero detector circuits
Efficient design of a quantum absolute-value circuit using Clifford+T gates
Quantum annealing solution for the unrelated parallel machine scheduling with priorities and delay of task switching on machines
Improving the number of T gates and their spread in integer multipliers on quantum computing
Multi-Spectral Imaging for Weed Identification in Herbicides Testing
HPC acceleration of large (min, +) matrix products to compute domination-type parameters in graphs
Implementation of three efficient 4-digit fault-tolerant quantum carry lookahead adders
HPC enables efficient 3D membrane segmentation in electron tomography
On the 2-domination Number of Cylinders with Small Cycles
Parallel radiation dose computations with GENOCOP III on GPUs
Powers of Large Matrices on GPU Platforms to Compute the Roman Domination Number of Cylindrical Graphs
Optimal fault-tolerant quantum comparators for image binarization
Efficient reversible quantum design of sign-magnitude to two’s complement converters
On solving the unrelated parallel machine scheduling problem: active microrheology as a case study
A review on reversible quantum adders
Dynamics and friction of a large colloidal particle in a bath of hard spheres: Langevin dynamics simulations and hydrodynamic description
Finite size effects in active microrheology in colloids
Improving the energy efficiency of SMACOF for multidimensional scaling on modern architectures
An optimized quantum circuit for converting from sign–magnitude to two’s complement
A faster half subtractor circuit using reversible quantum gates
Hyperspectral image classification using isomap with SMACOF
Improving the performance and energy of Non-Dominated Sorting for evolutionary multiobjective optimization on GPU/CPU platforms
TomoEED: Fast edge-enhancing denoising of tomographic volumes
Non-dominated sorting procedure for Pareto dominance ranking on multicore CPU and/or GPU
Accelerating the problem of microrheology in colloidal systems on a GPU
An approach to optimise the energy efficiency of iterative computation on integrated GPU–CPU systems
Using low-power platforms for Evolutionary Multi-Objective Optimization algorithms
Exploring the performance–power–energy balance of low-power multicore and manycore architectures for anomaly detection in remote sensing
An efficient approach for solving the HP protein folding problem based on UEGO
Parallel resolution of the 3D Helmholtz equation based on multi-graphics processing unit clusters
High performance computing for a 3-D optical diffraction tomographic application in fluid velocimetry
Non-linear Iterative Optimization Method for Locating Particles Using HPC Techniques
Performance evaluation of kernel fusion BLAS routines on the GPU: iterative solvers as case study
Efficient implementation of hyperspectral anomaly detection techniques on GPUs and multicore processors
High performance computing: an essential tool for science and engineering breakthroughs
FastSpMM: An efficient library for sparse matrix matrix product on GPUs
A GPU implementation of a hybrid evolutionary algorithm: GPuEGO
Analysis and optimizations of global and local versions of the RX algorithm for anomaly detection in hyperspectral data
The BiConjugate gradient method on GPUs
Automatic tuning of the sparse matrix vector product on GPUs based on the ELLR-T approach
Anomaly detection based on a parallel kernel RX algorithm for multicore platforms
Hybrid computing: CPU+GPU co-processing and its application to tomographic reconstruction
DESIGN OF CLIL ACTIVITIES FOR COMPUTER ENGINEERING COURSES AT THE UNIVERSITY
A new approach for sparse matrix vector product on NVIDIA GPUs
Matrix implementation of simultaneous iterative reconstruction technique (SIRT) on GPUs
Automatic tuning of iterative computation on heterogeneous multiprocessors with ADITHE
APPROACHES TO LEARN COMPUTER ENGINEERING INTEGRATING ENGLISH AS FOREIGN LANGUAGE
Vectorization with SIMD extensions speeds up reconstruction in electron tomography
A matrix approach to tomographic reconstruction and its implementation on GPUs
On a model of three-dimensional bursting and its parallel implementation
Three-dimensional bursting and parallel computing
High performance noise reduction for biomedical multidimensional data
Multiprocessing of anisotropic nonlinear diffusion for filtering 3D images
Approaches based on permutations for partitioning sparse matrices on multiprocessors
Solving eigenproblems on multicomputers: Two different approaches
Educational Issues on Number Representation and Arithmetic in Computers: An Undergraduate Laboratory
Floating point arithmetic teaching for computational science
Parallel implementation for large and sparse eigenproblems
Libros, capítulos, tesis Todos / Ninguno
Virtual Screening Based on Electrostatic Similarity and Flexible Ligands
Studying the Cost of n-qubit Toffoli Gates
Increasing the Accuracy of Optipharm’s Virtual Screening Predictions by Implementing Molecular Flexibility
I Jornadas de Doctorado en Informática: 26 de febrero de 2018, Universidad de Almería
IV Jornadas de Doctorado en Informática: 26 de febrero de 2021, Universidad de Almería
III Jornadas de Doctorado en Informática: 21 de febrero de 2020, Universidad de Almería
Simulación de un procesador ARM para la enseñanza de Estructura de Computadores
Diseño de un semirrestador cuántico eficiente
Scheduling paralelo sobre clústeres heterogéneos: Microreología Activa como caso de estudio
Computación de altas prestaciones aplicadas a la detección de anomalías en imagenes hiperespectrales. High performance computing applied to anomaly detection on hyperspecral images
Optimización del plegado de proteínas mediante computación evolutiva de altas prestaciones. Protein folding optimization with evolutive high performance computing
A data partitioning model for highly heterogeneous systems
GPU computing to speed-up the resolution of microrheology models
High perfomance computing for solving large sparse systems. Optical diffraction tomography as a case of study. (computación de altas prestaciones para la resolución de sistemas dispersos de grandes dimensiones. Tomografia óptica difraccional como caso de estudio)
Real-Time Tomographic Reconstruction through CPU + GPU Coprocessing
Non-linear iterative optimization method for locating particles using HPC techniques
A hybrid approach for solving The 3D helmholtz equation on heterogeneous platforms
CLIL LESSON PLANNING IN HIGHER EDUCATION: AN EXPERIENCE IN COMPUTER ENGINEERING COURSES
Computación algebraica dispersa con procesadores gráficos y su aplicación en tomografía electrónica
Three-dimensional bursting simulation on two parallel systems
Parallel computing of partial differential equations based-applications
Evaluation of parallel paradigms on anisotropic nonlinear diffusion
Parallel simulation of three-dimensional bursting with MPI and OpenMP
Multiprocessing of anisotropic nonlinear diffusion for filtering 3D images
A VHDL library to analyse fault tolerant techniques
An approach to teaching computer arithmetic
Estructura de computadores Gracia Ester Martín Garzón, Vicente González Ruiz, José Jesús Fernández Rodríguez
Estructura de computadores: manual de práctica
Distribuciones de datos basadas en valores para matrices dispersas: dos soluciones basadas en permutaciones
Representación interna y aritmética de los números en computadores: Actividades para el laboratorio
El problema de autovalores de matrices dispersas en multicomputadores
A parallel implementation of the eigenproblem for large, symmetric and sparse matrices
Conferencias Todos / Ninguno
Quantum Annealing to Solve the Unrelated Parallel Machine Scheduling Problem
ARTIFICIAL INTELLIGENCE APPLIED TO TEACHING
TEAMWORK USING COLAB NOTEBOOKS IN THE CLOUD
LOW-COST CHIP PROGRAMMING FOR TEACHING AND LEARNING DIGITAL SKILLS
EDUCATIONAL STRATEGIES BASED ON LOW-COST PLATFORMS IN THE AREA OF COMPUTER ENGINEERING
Improving the energy efficiency of evolutionary multi-objective algorithms
Dynamic load scheduling on CPU-GPU for iterative tomographic reconstruction
Fast sparse matrix matrix product based on ELLR-T and GPU computing
High performance computing for optical diffraction tomography
Real-time electron tomography based on GPU computing
Multi-core desktop processors make possible real-time electron tomography
Adaptive load balancing of iterative computation on heterogeneous nondedicated systems
Fast anomaly detection in hyperspectral images with RX method on heterogeneous clusters
Parallel implementation of RX anomaly detection on multi-core processors: Impact of data partitioning strategies
Ultra-fast tomographic reconstruction with a highly optimized Weighted Back-Projection algorithm
Improving the performance of the sparse matrix vector product with GPUs
Fast tomographic reconstruction with vectorized backprojection
Matrix weighted back-projection accelerates tomographic reconstruction
Analysis of the interaction of electromagnetic signals with thin-wires structures. Multiprocessing issues for an iterative method
Multiprocessing of the time domain analysis of thin-wire antennas and scatterers
Parallel implementation of the Lanczos method for sparse matrices: analysis of data distributions
Métricas del autor Todos / Ninguno
Indice H