Listar AC - Artículos por título
Mostrando ítems 1-20 de 64
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A cross-dataset deep learning-based classifier for people fall detection and identification
Delgado-Escaño, Rubén; Castro, Francisco M.; Ramos-Cózar, Julián
; Marín-Jiménez, Manuel J.; Guil-Mata, Nicolás; Casilari-Pérez, Eduardo[et al.] (Elsevier, 2020)
This paper addresses the issue of fall detection, particularly for elderly individuals who may live alone and be unable to call for help after a fall. The objective is to develop a deep learning-based approach that can ... -
A CUDA approach to compute perishable inventory control policies using value iteration.
Ortega, Gloria L.; Hendrix, Eligius María Theodorus; García-Fernández, Inmaculada (Springer Nature, 2018)
Dynamic programming (DP) approaches, in particular value iteration, is often seen as a method to derive optimal policies in inventory management. The challenge in this approach is to deal with an increasing state space ... -
A data relocation approach for terrain surface analysis on multi-GPU systems: a case study on the total viewshed problem.
Sánchez Fernández, Andrés Jesús; Romero-Gómez, Luis Felipe; Bandera-Burgueño, Gerardo; Tabik, Siham (Taylor & Francis, 2020-12-04)
Digital Elevation Models (DEMs) are important datasets for modelling line-of-sight phenomena such as radio signals, sound waves and human vision. These are commonly analysed using rotational sweep algorithms. However, ... -
Accelerating Sequence Alignments Based on FM-Index Using the Intel KNL Processor
Herruzo-Ruiz, José Manuel; González-Navarro, Sonia; Ibáñez, Pablo; Viñals, Victor; Alastruey-Benedé, Jesús; Óscar, Plata[et al.] (IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS,, 2020-07-01)
FM-index is a compact data structure suitable for fast matches of short reads to large reference genomes. The matching algorithm using this index exhibits irregular memory access patterns that cause frequent cache misses, ... -
Advanced Quantization Schemes to Increase Accuracy, Reduce Area, and Lower Power Consumption in FFT Architectures.
This paper explores new advanced quantization schemes for fast Fourier transform (FFT) architectures. In previous works, FFT quantization has been treated theoretically or with the sole aim of improving accuracy. In this ... -
Advancements in long-read genome sequencing technologies and algorithms
Espinosa García, Elena María; Bautista-Moreno, Rocío; Larrosa-Jiménez, Rafael; Plata-González, Óscar Guillermo (Elsevier, 2024-03)
The recent advent of long read sequencing technologies, such as Pacific Biosciences (PacBio) and Oxford Nanopore technology (ONT), have led to substantial improvements in accuracy and computational cost in sequencing ... -
Artificial intelligence to assist specialists in the detection of haematological diseases
Díaz-del-Pino, Sergio; Trelles-Martínez, Roberto; González-Fernández, F.A.; Guil-Mata, Nicolás (Elsevier, 2023)
Artificial intelligence, particularly the growth of neural network research and development, has become an invaluable tool for data analysis, offering unrivalled solutions for image generation, natural language processing, ... -
A Comparative Analysis of STM Approaches to Reduction Operations in Irregular Applications
Pedrero-Luque, Manuel; Gutiérrez-Carrasco, Eladio Damián; Romero-Montiel, Sergio; Plata-González, Óscar Guillermo
As a recently consolidated paradigm for optimistic concurrency in modern multicore architectures, Transactional Memory (TM) can help to the exploitation of parallelism in irregular applications when data dependence ... -
Comparing assembly strategies for third-generation sequencing technologies across different genomes
Espinosa García, Elena María; Bautista-Moreno, Rocío; Fernández, Iván; Larrosa-Jiménez, Rafael; López-Zapata, Emilio; Plata-González, Óscar Guillermo[et al.] (Elsevier, 2023-09)
The recent advent of long-read sequencing technologies, such as Pacific Biosciences (PacBio) and Oxford Nanopore technology (ONT), has led to substantial accuracy and computational cost improvements. However, de novo ... -
CPU and GPU oriented optimizations for LiDAR data processing
Muñoz, Felipe; Asenjo-Plaza, Rafael; Navarro, Ángeles; Cabaleiro, J. Carlos (Elsevier, 2024-07)
Digital Terrain Models (DTM) can be accurately obtained from clouds of LiDAR points but the corresponding cloud processing time can be prohibitive. This paper describes several optimization techniques that have been applied ... -
Design optimization of a 3-stage membrane cascade for oligosaccharides purification using mixed integer non-linear programming.
Rizki, Zulhaj; Janssen, Anja E.M.; Hendrix, Eligius María Theodorus; van der Padt, Albert; Boom, Remko M.; Claassen, G.D.H.[et al.] (2020)
Inhomogeneous membrane cascade systems have been utilized to purify fructooligosaccharides (FOS). Such a process allows a different setup at every stage of the cascade. Varying the setup at every stage implies an optimization ... -
Designing a Project for Learning Industry 4.0 by Applying IoT to Urban Garden
Hormigo-Aguilar, Javier; Rodríguez-Moreno, Andrés (2019-10-11)
The fast evolution of technologies forces teachers to trade content off for self-learning. Project-based learning (PBL) is one of the best ways to promote self-learning and simultaneously boost motivation. In this paper, ... -
Efficient floating-point givens rotation unit
Hormigo-Aguilar, Javier; Muñoz, Sergio (2020-10-23)
High-throughput QR decomposition is a key operation in many advanced signal processing and communication applications. For some of these applications, using floating-point computation is becoming almost compulsory. However, ... -
Efficient heterogeneous matrix profile on a CPU + High Performance FPGA with integrated HBM
Romero Moreno, José Carlos; González-Navarro, María Ángeles; Vilches Reina, Antonio; Corbera-Peña, Francisco Javier (Elsevier, 2021-12)
In this work, we study the problem of efficiently executing a state-of-the-art time series algorithm class – SCAMP – on a heterogeneous platform comprised of CPU + High Performance FPGA with integrated HBM (High Bandwidth ... -
Enabling Fast and Energy-Efficient FM-index Exact Matching using Processing-Near-Memory
Herruzo-Ruiz, José Manuel; Fernández, Iván; González-Navarro, Sonia; Óscar, Plata (Springer, 2021-09)
Memory bandwidth and latency constitutes a major performance bottleneck for many data-intensive applications. While high-locality access patterns take advantage of the deep cache hierarchies available in modern processors, ... -
Energy-based tuning of convolution neural networks on multi-GPUs
Castro Payán, Francisco Manuel; Guil-Mata, Nicolás; Marín Jiménez, Manuel Jesús; Pérez-Serrano, Jesús; Ujaldon-Martínez, Manuel (Wiley, 2019-11)
Deep Learning (DL) applications are gaining momentum in the realm of Artificial Intelligence, particularly after GPUs have demonstrated remarkable skills for accelerating their challenging computational requirements. Within ... -
Energy-based tuning of metaheuristics for molecular docking on multi-GPUs
Pérez-Serrano, Jesús; Imbernón, Baldomero; Cecilia, José María; Ujaldon-Martínez, Manuel (Wiley, 2018-09)
Virtual Screening (VS) methods simulate molecular interactions in silico to look for the best chemical compound that interacts with a given molecular target. VS is becoming increasingly popular to accelerate the drug ... -
Enhancing Scalability In Best-Effort Hardware Transactional Memory Systems
Quislant-del-Barrio, Ricardo; Gutiérrez-Carrasco, Eladio Damián; López-Zapata, Emilio; Plata-González, Óscar Guillermo (Elsevier, 2017)
Current industry proposals for hardware transactional memory focus on best-effort solutions where hardware limits are imposed on transactions. These designs can efficiently execute transactions but they may abort due to ... -
Experiments with Active-Set LP Algorithms Allowing Basis Deficiency
Hendrix, Eligius María Theodorus; Guerrero-García, Pablo (IOAP-MDPI, 2022-12-23)
n interesting question for linear programming (LP) algorithms is how to deal with solutions in which the number of nonzero variables is less than the number of rows of the matrix in standard form. An approach is that of ...