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    • openAccess   An Omnidirectional Platform for Education and Research in Cooperative Robotics 

      Kassawat, Majd; Cervera, Enric; del Pobil, Angel P. MDPI (2022-02-08)
      In this paper we present a new, affordable, omnidirectional robot platform which is suitable for research and education in cooperative robotics. We design and implement the platform for the purpose of multi-agent object ...

    • openAccess   An study of the effect of process malleability in the energy efficiency on GPU‑based clusters 

      Iserte, Sergio; Rojek, Krzysztof Springer (2019-10-21)
      The adoption of graphic processor units (GPU) in high-performance computing (HPC) infrastructures determines, in many cases, the energy consumption of those facilities. For this reason, an efficient management and ...

    • openAccess   Analysis of the process of representing clinical statements for decision-support applications: a comparison of openEHR archetypes and HL7 virtual medical record 

      González-Ferrer, A.; Peleg, M.; Marcos, Mar; Maldonado, Jose Alberto Springer (2016)
      Delivering patient-specific decision-support based on computer-interpretable guidelines (CIGs) requires mapping CIG clinical statements (data items, clinical recommendations) into patients’ data. This is most effectively ...

    • openAccess   Analysis of Threading Libraries for High Performance Computing 

      Castelló, Adrián; Mayo, Rafael; Seo, Sangmin; Balaji, Pavan; Quintana-Orti, Enrique S.; Peña Monferrer, Antonio J. IEEE (2020-01-30)
      With the appearance of multi-many core machines, applications and runtime systems evolved in order to exploit the new on-node concurrency that brought new software paradigms. POSIX threads (Pthreads) was widely-adopted for ...

    • openAccess   Analytical Modeling is Enough for High Performance BLIS 

      Low, Tze Meng; Igual, Francisco; Smith, Tyler M.; Quintana-Orti, Enrique S. ACM (2016-09)
      We show how the BLAS-like Library Instantiation Software (BLIS) framework, which provides a more detailed layering of the GotoBLAS (now maintained as OpenBLAS) implementation, allows one to analytically determine tuning ...

    • openAccess   Analyzing the impact of the MPI allreduce in distributed training of convolutional neural networks 

      Castelló, Adrián; Catalán Carbó, Mar; Dolz, Manuel F.; Quintana-Orti, Enrique S.; Duato, José Springer (2022-01-10)
      For many distributed applications, data communication poses an important bottleneck from the points of view of performance and energy consumption. As more cores are integrated per node, in general the global performance ...

    • openAccess   Anomaly detection based on Artificial Intelligence of Things: A Systematic Literature Mapping 

      Trilles, Sergio; Hammad, Sahibzada Saadoon; Iskandaryan, Ditsuhi Elsevier (2024-04-01)
      Advanced Machine Learning (ML) algorithms can be applied using Edge Computing (EC) to detect anomalies, which is the basis of Artificial Intelligence of Things (AIoT). EC has emerged as a solution for processing and analysing ...

    • openAccess   Antecedents of Behavioral Intention to Use Mobile Telecommunication Services: Effects of Corporate Social Responsibility and Technology Acceptance 

      Lee, Sanghoon; Park, Eunil; Kwon, Sang Jib; del Pobil, Angel P. MDPI (2015-08)
      The concepts of corporate social responsibility (CSR) and user experience have been identified as core determinants of the success of service providers. Accordingly, practitioners and researchers have investigated the ...

    • openAccess   Application of Multi-core and GPU Architectures on Signal Processing: Case Studies 

      González, Alberto; BELLOCH, JOSE A.; Piñero, Gema; Lorente, Jorge; Ferrer, Miguel; Roger, Sandra; Roig, Carles; Martínez, Francisco J.; De Diego, María; Alonso-Jordá, Pedro; García, Víctor M.; Quintana-Orti, Enrique S.; Remón Gómez, Alfredo; Vidal, Antonio M. Universidad Politécnica de Valencia (2010)
      In this article part of the techniques and developments we are carrying out within the INCO2 group are reported. Results follow the interdisciplinary approach with which we tackle signal processing applications. Chosen ...

    • openAccess   Architecture-Aware Con guration and Scheduling of Matrix Multiplication on Asymmetric Multicore Processors 

      Catalán, Sandra; Igual, Francisco; Mayo, Rafael; Rodríguez Sánchez, Rafael; Quintana-Orti, Enrique S. Springer US (2016-09)
      Asymmetric multicore processors (AMPs) have recently emerged as an appealing technology for severely energy-constrained environments, especially in mobile appliances where heterogeneity in applications is mainstream. ...

    • closedAccess   Are our dense linear algebra libraries energy-friendly?. Time–power–energy trade-offs in BLAS and LAPACK 

      Aliaga Estellés, José Ignacio; Barreda Vayá, Maria; Dolz, Manuel F.; Quintana-Orti, Enrique S. Springer Berlin Heidelberg (2015-05)
      In this paper we conduct a detailed analysis of the sources of power dissipation and energy consumption during the execution of current dense linear algebra kernels on multicore processors, binding these two metrics together ...

    • openAccess   Argobots: A Lightweight Low-Level Threading and Tasking Framework 

      Seo, Sangmin; Amer, Abdelhalim; Balaji, Pavan; Bordage, Cyril; Bosilca, George; Brooks, Alex; Carns, Philip; Castelló, Adrián; Genet, Damien; Herault, Thomas; Iwasaki, Shintaro; Jindal, Prateek; Kalé, Laxmikant V.; Krishnamoorthy, Sriram; Lifflander, Jonathan; Lu, Huiwei; Meneses, Esteban; Snir, Marc; Sun, Yanhua; Taura, Kenjiro; Beckman, Pete IEEE (2017-10)
      In the past few decades, a number of user-level threading and tasking models have been proposed in the literature to address the shortcomings of OS-level threads, primarily with respect to cost and flexibility. Current ...

    • closedAccess   Arquitecture-aware optimization of an hevc decoder on asymmetric multicore processors 

      Rodríguez Sánchez, Rafael; Quintana-Orti, Enrique S. Springer Verlag (2016-05)
      Low-power asymmetric multicore processors (AMPs) have attracted considerable attention due to their appealing performance/power ratio for energy-constrained environments. However, these processors pose a significant ...

    • openAccess   Assessing Power Monitoring Approaches for Energy and Power Analysis of Computers 

      El Mehdi Diouria, Mohammed; Dolz, Manuel F.; Glückc, Olivier; Lefèvre, Laurent; Alonso-Jordá, Pedro; Catalán, Sandra; Mayo, Rafael; Quintana-Orti, Enrique S. Elsevier (2014-06)
      Large-scale distributed systems (e.g., datacenters, HPC systems, clouds, large-scale networks, etc.) consume and will consume enormous amounts of energy. Therefore, accurately monitoring the power dissipation and energy ...

    • openAccess   Assessing the impact of the CPU power-saving modes on the task-parallel solution of sparse linear systems 

      Aliaga Estellés, José Ignacio; Barreda Vayá, Maria; Dolz, Manuel F.; Martín Huertas, Alberto F.; Mayo, Rafael; Quintana-Orti, Enrique S. Springer US (2014)
      We investigate the benefits that an energyaware implementation of the runtime in charge of the concurrent execution of ILUPACK —a sophisticated preconditioned iterative solver for sparse linear systems— produces on the ...

    • closedAccess   Assessing the Performance-Energy Balance of Graphics Processors for Spectral Unmixing 

      Sánchez, S.; León Navarro, Germán; Plaza, Antonio; Quintana-Orti, Enrique S. IEEE (2014)
      Remotely sensed hyperspectral imaging missions are often limited by onboard power restrictions while, simultaneously, require high computing power in order to address applications with relevant constraints in terms of ...

    • openAccess   Assisting therapists in assessing small animal phobias by computer analysis of video-recorded sessions 

      Castelló, Vicente; Traver Roig, Vicente Javier; Serrano-Zárate, Berenice; Montoliu Colás, Raul; Botella, Cristina Springer (2017)
      Behavioural Avoidance Tests (BATs) are commonly used for assessing phobias. While easy to deploy, these tests have some practical difficulties. For instance, therapists have to make distance estimations that are hard to ...

    • closedAccess   ATM-based analysis and recognition of handball team activities 

      Montoliu Colás, Raul; Martín Félez, Raúl; Torres-Sospedra, Joaquín; Rodríguez Pérez, Sergio Elsevier (2015)
      In this paper, a new methodology based on the Author Topic Model (ATM) method is presented to perform team activity recognition and analysis in handball videos. Instead of using players׳ trajectories we just rely on low ...

    • openAccess   Augmented EHR: Enrichment of EHR with Contents from Semantic Web Sources 

      Mañas Garcia , Alejandro; Maldonado, Jose Alberto; Marcos, Mar; Bosca Tomas, Diego; Robles, Montserrat MDPI (Basel, Switzerland) (2021-04-27)
      This work presents methods to combine data from the Semantic Web into existing EHRs, leading to an augmented EHR. An existing EHR extract is augmented by combining it with additional information from external sources, ...

    • openAccess   Automatic generation of ARM NEON micro‑kernels for matrix multiplication 

      Alaejos, Guillermo; Martínez, Héctor; Castelló, Adrián; Dolz, Manuel F.; Igual, Francisco; Alonso-Jordá, Pedro; Quintana-Orti, Enrique S. Springer (2024-03-12)
      General matrix multiplication (gemm) is a fundamental kernel in scientifc computing and current frameworks for deep learning. Modern realisations of gemm are mostly written in C, on top of a small, highly tuned micro-kernel ...