Listar ICC_Articles por fecha de publicación
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Prototipo físico-manipulativo: Material Didáctico de Apoyo a la Enseñanza y el Aprendizaje de la Geometría Analítica en el Espacio
Sociedad Canaria de Profesorado de Matemáticas Luis Balbuena Castellano (2023)El presente trabajo se centra en la creación de material manipulativo de apoyo a la enseñanza y el aprendizaje de la geometría analítica en el espacio como respuesta a una problemática concreta que es una constante en ... -
Performance–energy trade‑ofs of deep learning convolution algorithms on ARM processors
Springer (2023)In this work, we assess the performance and energy efciency of high-performance codes for the convolution operator, based on the direct, explicit/implicit lowering and Winograd algorithms used for deep learning (DL) ... -
A model-driven transformation approach for the modelling of processes in clinical practice guidelines
Elsevier (2023)Clinical Practice Guidelines (CPGs) include recommendations aimed at optimising patient care, informed by a review of the available clinical evidence. To achieve their potential benefits, CPG should be readily available at ... -
A new database of the analysis of the physiological needs in amateur female basketball during official matches
Nature Research (2023)The PHYAFB database is a valuable resource for studying the physiological demands of female amateur basketball players during high-stress official games. It contains heart rate data from ten players aged 18 to 26, collected ... -
Multidimensional Author Profling for Social Business Intelligence
Springer (2023)This paper presents a novel author profling method specially aimed at classifying social network users into the multidimensional perspectives for social business intelligence (SBI) applications. In this scenario, being the ... -
Reformulating the direct convolution for high-performance deep learning inference on ARM processors
Elsevier (2022-12-20)We present two high-performance implementations of the convolution operator via the direct algorithm that outperform the so-called lowering approach based on the im2col transform plus the gemm kernel on an ARMv8-based ... -
Strategies to parallelize a finite element mesh truncation technique on multi-core and many-core architectures
Springer (2022-12-02)Achieving maximum parallel performance on multi-core CPUs and many-core GPUs is a challenging task depending on multiple factors. These include, for example, the number and granularity of the computations or the use of the ... -
A Study on How Food Colour May Determine the Categorization of a Dish: Predicting Meal Appeal from Colour Combinations
World Scientific Publishing (2022-12)A person’s preference to select or reject certain meals is influenced by several aspects, including colour. In this paper, we study the relevance of food colour for such preferences. To this end, a set of images of meals ... -
Complete Integration of Team Project-Based Learning Into a Database Syllabus
IEEE (2022-11-07)Team project-based learning (TPBL) combines two learning techniques: 1) project-based learning (PBL) and 2) teamwork. This combination leverages the learning outcomes of both methods and places students in a real work ... -
Design development and implementation of an irradiation station at the neutron time-of-flight facility at CERN
American Physical Society (2022-10-20)A new parasitic, mixed-field, neutron-dominated irradiation station has been recently commissioned at the European Laboratory for Particle Physics (CERN). The station is installed within the neutron time-of-flight (n_TOF) ... -
Mixed Reality Human–Robot Interface With Adaptive Communications Congestion Control for the Teleoperation of Mobile Redundant Manipulators in Hazardous Environments
IEEE (2022-08-22)Robotic interventions with redundant mobile manipulators pose a challenge for telerobotics in hazardous environments, such as underwater, underground, nuclear facilities, particle accelerators, aerial or space. Communication ... -
Compressed basis GMRES on high-performance graphics processing units
Sage (2022-08-05)Krylov methods provide a fast and highly parallel numerical tool for the iterative solution of many large-scale sparse linear systems. To a large extent, the performance of practical realizations of these methods is ... -
Algorithm 1022: Efficient Algorithms for Computing a Rank-Revealing UTV Factorization on Parallel Computing Architectures
Association for Computing Machinery (ACM) (2022-06)Randomized singular value decomposition (RSVD) is by now a well-established technique for efficiently computing an approximate singular value decomposition of a matrix. Building on the ideas that underpin RSVD, the recently ... -
Efficient and portable GEMM-based convolution operators for deep neural network training on multicore processors
Elsevier (2022-05-30)Convolutional Neural Networks (CNNs) play a crucial role in many image recognition and classification tasks, recommender systems, brain-computer interfaces, etc. As a consequence, there is a notable interest in developing ... -
A Survey on Malleability Solutions for High-Performance Distributed Computing
MDPI (2022-05-22)Maintaining a high rate of productivity, in terms of completed jobs per unit of time, in High-Performance Computing (HPC) facilities is a cornerstone in the next generation of exascale supercomputers. Process malleability ... -
BestOf: an online implementation selector for the training and inference of deep neural networks
Springer (2022-05-20)Tuning and optimising the operations executed in deep learning frameworks is a fundamental task in accelerating the processing of deep neural networks (DNNs). However, this optimisation usually requires extensive manual ... -
Multicore implementation of a multichannel parallel graphic equalizer
Springer (2022-04-22)Numerous signal processing applications are emerging on mobile computing systems. These applications are subject to responsiveness constraints for user interactivity and, at the same time, must be optimized for energy ... -
High performance and energy efficient inference for deep learning on multicore ARM processors using general optimization techniques and BLIS
Elsevier (2022-03-22)We evolve PyDTNN, a framework for distributed parallel training of Deep Neural Networks (DNNs), into an efficient inference tool for convolutional neural networks. Our optimization process on multicore ARM processors ... -
Reliability Evaluation of LU Decomposition on GPU-Accelerated System-on-Chip Under Proton Irradiation
IEEE (2022-03-22)Graphic processing units (GPUs) have become a basic accelerator both in high-performance nodes and low-power system-on-chip (SoC). They provide massive data parallelism and very high performance per watt. However, their ... -
High-performance reconstruction of CT medical images by using out-of-core methods in GPU
Elsevier (2022-03-02)Background and objective:Since Computed Tomography (CT) is one of the most widely used medical imaging tests, it is essential to work on methods that reduce the radiation the patient is exposed to. Although there are several ...