Recent Submissions

  • Are we training in Sustainability in higher education? Case study: education degrees at the University of Salamanca 

    Muñoz Rodríguez, José Manuel; Sánchez Carracedo, Fermín; Barrón Ruiz, Àngela; Serrate González, Sara (2020-05-29)
    Article
    Open Access
    In this work, we analyzed the progress made in learning sustainability competencies by students belonging to the four Bachelor Education degrees at the University of Salamanca: Early Childhood Education Teacher, Primary ...
  • Tailwind: Fast and atomic RDMA-based replication 

    Taleb, Yacine; Stutsman, Ryan; Antoniu, Gabriel; Cortés, Toni (USENIX Association, 2018)
    Conference report
    Open Access
    Replication is essential for fault-tolerance. However, in in-memory systems, it is a source of high overhead. Remote direct memory access (RDMA) is attractive to create redundant copies of data, since it is low-latency and ...
  • Interoperable Digital Proximity Tracing protocol (IDPT) 

    García Vidal, Jorge (2020-05-19)
    External research report
    Open Access
    This document introduces the Interoperable Digital Proximity Tracing (IDPT) protocol, that can be run by applications that also run the DP3T digital proximity tracking protocol to enable interoperability with the ROBERT ...
  • PETGEM: A parallel code for 3D CSEM forward modeling using edge finite elements 

    Castillo Reyes, Octavio; de la Puente Álvarez, Josep; Cela Espín, José M. (2018-10)
    Article
    Restricted access - publisher's policy
    We present the capabilities and results of the Parallel Edge-based Tool for Geophysical Electromagnetic modeling (PETGEM), as well as the physical and numerical foundations upon which it has been developed. PETGEM is an ...
  • On the resilience of deep learning for reduced-voltage FPGAs 

    Givaki, Kamyar; Salami, Behzad; Hojabr, Reza; Tayaranian, S. M. Reza; Khonsari, Ahmad; Rahmati, Dara; Gorgin, Saeid; Cristal Kestelman, Adrián; Unsal, Osman Sabri (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Open Access
    Deep Neural Networks (DNNs) are inherently computation-intensive and also power-hungry. Hardware accelerators such as Field Programmable Gate Arrays (FPGAs) are a promising solution that can satisfy these requirements for ...
  • Evaluating built-in ECC of FPGA on-chip memories for the mitigation of undervolting faults 

    Salami, Behzad; Unsal, Osman Sabri; Cristal Kestelman, Adrián (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Conference report
    Open Access
    Voltage underscaling below the nominal level is an effective solution for improving energy efficiency in digital circuits, e.g., Field Programmable Gate Arrays (FPGAs). However, further undervolting below a safe voltage ...
  • The challenge: From MPEG intellectual property rights ontologies to smart contracts and blockchains [standards in a nutshell] 

    Kudumakis, Panos; Wilmering, Thomas; Sandler, Mark; Rodríguez Doncel, Víctor; Boch, Laurent; Delgado Mercè, Jaime (2020-03)
    Article
    Open Access
    The Moving Picture Experts Group (MPEG) is an International Organization for Standardization/International Electrotechnical Commission (ISO/IEC) working group that develops media coding standards. These standards include ...
  • Towards specification of a software architecture for cross-sectoral big data applications 

    Arapakis, Ioannis; Becerra Fontal, Yolanda; Boehm, Omer; Bravos, Geroge; Chatzigiannakis, Vassilis; Cugnasco, Cesare; Demetriou, Giorgos; Eleftheriou, Iliada; Mascolo, Julien Etienne; Fodor, Lidija; Ioannidis, Sotiris; Jakovetic, Dusan; Kallipolitis, Leonidas; Kavakli, Evangelia; Kopanaki, Despina; Kourtellis, Nicolas; Marcos, Mario Maawad; Martin de Pozuelo, Ramon; Milosevic, Nemanja; Morandi, Giuditta; Pages Montanera, Enric; Ristow, Gerald; Sakellariou, Rizos; Sirvent, Raül; Skrbic, Srdjan; Spais, Ilias; Vasiliadis, Giorgos; Vinov, Michael (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Conference lecture
    Open Access
    The proliferation of Big Data applications puts pressure on improving and optimizing the handling of diverse datasets across different domains. Among several challenges, major difficulties arise in data-sensitive domains ...
  • A highly parallel algorithm for computing the action of a matrix exponential on a vector based on a multilevel Monte Carlo method 

    Acebrón de Torres, Juan A.; Herrero Zaragoza, José Ramón; Monteiro, José (2020-01-01)
    Article
    Restricted access - publisher's policy
    A novel algorithm for computing the action of a matrix exponential over a vector is proposed. The algorithm is based on a multilevel Monte Carlo method, and the vector solution is computed probabilistically generating ...
  • Real-time logo detection in brand-related social media images 

    Orti, Oscar; Tous Liesa, Rubén; Gómez Parada, Mauro; Poveda, Jonatan; Cruz de la Cruz, Stalin Leonel; Wust, Otto (Springer, 2019)
    Conference report
    Open Access
    This paper presents a work consisting in using deep convolutional neural networks (CNNs) for real-time logo detection in brand-related social media images. The final goal is to facilitate searching and discovering ...
  • Analysis of the key features of the seismic actions due to the three main earthquakes of May 11, 2011 in Lorca, Spain 

    Aguilar Meléndez, Armando; de la Puente Álvarez, Josep; Monterrubio Velasco, Marisol; Rodriguez Lozoya, Héctor Enrique; Rojas, Otilio; Calderón Ramón, Celia M.; Castillo Reyes, Octavio; García Elías, Alejandro; Campos Ríos, Amelia (2019)
    Article
    Open Access
    The seismic records are in general valuable information, especially in cases where damage in buildings has occurred. The main purpose of the present document is to describe the principal results of the analysis of features ...
  • BIGSEA: A big data analytics platform for public transportation information 

    Alic, Andy S.; Almeida, Jurassa; Aloisio, Giovanni; Andrade, Nazareno; Antunes, Nuno; Ardagna, Danilo; Badia Sala, Rosa Maria; Basso, Tania; Blanquer, Ignacio; Braz, Tarciso; Brito, Andrey; Elia, Donatello; Fiore, Sandro; Guedes, Dorgival; Lattuada, Marco; Lezzi, Daniele; Maciel, Matheus; Meira Jr, Wagner; Mestre, Demetrio; Moraes, Regina; Morais, Fabio; Pires, Carlos Eduardo; Kozievitch, Nádia P.; dos Santos, Walter; Silva, Paulo; Vieira, Marco (Elsevier, 2019-07)
    Article
    Restricted access - publisher's policy
    Analysis of public transportation data in large cities is a challenging problem. Managing data ingestion, data storage, data quality enhancement, modelling and analysis requires intensive computing and a non-trivial amount ...

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