Listar Arquitectura de Computadores - (AC) por título
Mostrando ítems 42-61 de 207
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Decomposition methods for mixed-integer nonlinear programming
(UMA Editorial, 2021-11-05)La programación no lineal de enteros mixtos es un campo de optimización importante y desafiante. Este tipo de problemas pueden contener variables continuas e enteras, así como restricciones lineales y no lineales. Esta ... -
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, ... -
Digit recurence division under HUB format
Villalba-Moreno, Julio (2016-07-21)
Half-Unit-Biased format is based on shifting the representation line of the binary numbers by half Unit in the Last Place. The main feature of this format is that the round to nearest is carried out by a simple truncation, ... -
Diseño del compilador de la máquina virtual inmortal iVM
Gutiérrez-Carrasco, Eladio Damián; Romero-Montiel, Sergio; Plata-González, Óscar Guillermo (Sociedad de Arquitectura y Tecnología de Computadores (SARTECO), 2022-09-21)
Conservar la información digital durante mucho tiempo es difı́cil, incluso cuando se utiliza un medio de almacenamiento pasivo duradero, como una pelı́cula fotográfica almacenada en las condiciones adecuadas. En dicho ... -
DNA Sequences Alignment in Multi-GPUs: Energy Payoff on Speculative Executions
Pérez-Serrano, Jesús; Sandes, Edans; Melo, Alba; Ujaldon-Martínez, Manuel (2017-05-30)
We present a performance per watt analysis of CUDAlign 4.0, a parallel strategy to obtain the optimal alignment of huge DNA se- quences in multi-GPU platforms using the exact Smith-Waterman method. Speed-up factors and ... -
Edge AI Architectures for a Privacy-Preserving IoT Era
(2022-07-20)The Internet of Things (IoT) has been hailed as the next frontier of innovation where our everyday objects are connected in ways that improve our lives and transform industries, in particular healthcare. In this talk, Prof. ... -
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 Floating-Point Representation for Balanced Codes for FPGA Devices
Villalba-Moreno, Julio; Hormigo-Aguilar, Javier; Corbera-Peña, Francisco Javier; González, Mario; López-Zapata, Emilio (2013-10-30)
We propose a floating–point representation to deal efficiently with arithmetic operations in codes with a balanced number of additions and multiplications for FPGA devices. The variable shift operation is very slow in ... -
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 ... -
Efficient OpenCL-based concurrent tasks offloading on accelerators
Lázaro-Muñoz, Antonio J.; González-Linares, José María; Gómez-Luna, Juan; Guil-Mata, Nicolás (Procedia Computer Science, 2017)
Current heterogeneous platforms with CPUs and accelerators have the ability to launch several independent tasks simultaneously, in order to exploit concurrency among them. These tasks typically consist of data transfer ... -
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, ... -
End-to-end Incremental Learning
Castro Payán, Francisco Manuel; Marín-Jiménez, Manuel J.; Guil-Mata, Nicolás; Schmid, Cordelia; Alahari, Karteek (2018-07-06)
Although deep learning approaches have stood out in recent years due to their state-of-the-art results, they continue to suffer from (catastrophic forgetting), a dramatic decrease in overall performance when training with ... -
Energy Efficiency of Software Transactional Memory in a Heterogeneous Architecture
Villegas Fernández, Emilio; Villegas Fernández, Alejandro; González-Navarro, María Ángeles; Asenjo-Plaza, Rafael; Ukidave, Yash; Plata-González, Óscar Guillermo[et al.] (2016-09-07)
Hardware vendors make an important effort creating low-power CPUs that keep battery duration and durability above acceptable levels. In order to achieve this goal and provide good performance-energy for a wide variety of ... -
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 ... -
Entropy-based High Performance Computation of Boolean SNP-SNP Interactions Using GPUs
Riveros, Carlos; Ujaldon-Martínez, Manuel; Moscato, Pablo (2014-05-02)
It is being increasingly accepted that traditional statistical Single Nucleotide Polymorphism (SNP) analysis of Genome-Wide Association Studies (GWAS) reveals just a small part of the heritability in complex diseases. ... -
Evaluación del consumo energético de la memoria transaccional en procesadores heterogéneos
Villegas Fernández, Emilio; Villegas Fernández, Alejandro; González-Navarro, María Ángeles; Asenjo-Plaza, Rafael; Plata-González, Óscar Guillermo (2016)
Actualmente existe una enorme cantidad de dispositivos y sistemas, como ordenadores portátiles y teléfonos móviles, que dependen de una batería para su funcionamiento. Como consecuencia, el hardware que incorporan debe ser ... -
Evaluación Realista de Modelos de Aprendizaje Profundo para Imágenes Hiperespectrales
(2019-12-13)Con los recientes avances realizados en el campo de Observación de la Tierra (EO), el uso de información de detección remota capturada por sensores disponibles (ubicados en plataformas aéreas y / o satelitales) ha adquirido ...