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High Performance and Portable Convolution Operators for Multicore Processors
(IEEE, 2020-10)
The considerable impact of Convolutional Neural Networks on many Artificial Intelligence
tasks has led to the development of various high performance algorithms for the convolution operator present in this type of networks. ...
Experiencing discomfort: designing for affect from first-person perspective
(Association for Computing Machinery (ACM), 2019-09)
In this paper, we describe how by embracing a first-person design
perspective we engaged with the uncomfortable to successfully
gain insight into the design of affective technologies. Firstly, we
experience estrangement ...
Experiencias en el diseño de robots educacionales submarinos
(Universidade da Coruña, Servizo de Publicacións, 2019)
El presente trabajo da a conocer las actividades preliminares realizadas en la Universidad Jaume I en el ámbito de la robótica educacional submarina y nuestros proyectos futuros. Se muestra la línea temporal seguida desde ...
An Underwater Simulation Server Oriented to Cooperative Robotic Interventions: The Educational Approach
(IEEE, 2021)
Experiments that require the use of Supervised Autonomous Underwater Vehicles for Intervention (I-AUV) are not easy to be performed, specially when deployed in the sea or in scenarios where the robot might face lack of ...
Remote GPU Virtualization: Is It Useful?
(IEEE, 2016-03)
Graphics Processing Units (GPUs) are currently used in many computing facilities. However, GPUs present several side effects, such as increased acquisition costs as well as larger space requirements. Also, GPUs still require ...
Enabling big data analytics in the hybrid cloud using iterative MapReduce
(HAL-Inria, 2015-12)
The cloud computing model has seen tremendous commercial success through its materialization via two prominent models to date, namely public and private cloud. Recently, a third model combining the former two ...
Malleability Implementation in a MPI Iterative Method
(IEEE, 2021-09)
In this poster is evaluated the data redistribution stage for two malleable versions of the Conjugate Gradient. One version is based on synchronous communications, while the other one uses asynchronous communications to ...
Aplicación sintética para el estudio de maleabilidad en computación de altas prestaciones
(Universitat d'Alacant, 2022)
Hoy en día, la mejora del rendimiento
en los grandes clusters de ordenadores recomienda el
desarrollo de aplicaciones maleables. Así, durante la
ejecución de estas aplicaciones en un trabajo, el sistema de gestión de ...
Towards portable realizations of winograd-based convolution with vector intrinsics and OpenMP
(IEEE, 2022)
We take a step forward in the direction of developing high performance codes for the convolution, based on the Winograd transformation, that are easy to customize for different processor architectures. In our approach, ...
Paralelización del calculo del numero pi utilizando librerías de precisión múltiple en un clúster de computadores
(Universitat d'Alacant, 2022)
La Computación de Altas Prestaciones
(CAP), o High Performance Computing (HPC), es un
campo de la Ingeniería Informática que tiene como
principal objetivo extraer el mejor rendimiento de los
recursos disponibles de un ...