Recent Submissions

  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • A semantic model to fight social exclusion 

    Ortiz Santiago, Víctor Alejandro; Estañol Lamarca, Montserrat; Marinescu, Maria Cristina; Sancho Samsó, María Ribera; Teniente López, Ernest; Rueda Palenzuela, Carmen (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Conference lecture
    Open Access
    This work presents a semantic model meant to help with the identification and prediction of individuals at risk of social exclusion. The model is based on the self-sufficiency matrix, a tool that evaluates a person's ...
  • Ground-truth prediction to accelerate soft-error impact analysis for iterative methods 

    Mutlu, Burcu O.; Kestor, Gokcen; Cristal Kestelman, Adrián; Unsal, Osman Sabri; Krishnamoorthy, Sriram (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Conference report
    Open Access
    Understanding the impact of soft errors on applications can be expensive. Often, it requires an extensive error injection campaign involving numerous runs of the full application in the presence of errors. In this paper, ...
  • Drone navigation and avoidance of obstacles through deep reinforcement learning 

    Cetin, Ender; Barrado Muxí, Cristina; Muñoz Ferran, Guillem; Macias López, Miquel; Pastor Llorens, Enric (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Conference report
    Open Access
    Unmanned aerial vehicles (UAV) specifically drones have been used for surveillance, shipping and delivery, wildlife monitoring, disaster management etc. The increase on the number of drones in the airspace worldwide will ...
  • The future of drones and their public acceptance 

    Macias López, Miquel; Barrado Muxí, Cristina; Pastor Llorens, Enric; Royo Chic, Pablo (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Conference report
    Open Access
    Any emergent technology in history has raised an initial rejection by part of the society. Added to the several problems that the non-mature technology may have, the lack of any previous experience about side effects and ...
  • DRAM errors in the field: a statistical approach 

    Živanovič, Darko; Esmaili Dokht, Pouya; Moré, Sergi; Bartolomé, Javier; Carpenter, Paul Matthew; Radojkovic, Petar; Ayguadé Parra, Eduard (Association for Computing Machinery (ACM), 2019)
    Conference report
    Open Access
    This paper summarizes our two-year study of corrected and uncor-rected errors on the MareNostrum 3 supercomputer, covering 2000 billion MB-hours of DRAM in the field. The study analyzes 4.5 million corrected and 71 uncorrected ...
  • Optimization of condensed matter physics application with OpenMP tasking model 

    Criado, Joel; Garcia Gasulla, Marta; Labarta Mancho, Jesús José; Chatterjee, Arghya; Hernández, Óscar; Sirvent, Raül; Álvarez, Gonzalo (Springer, 2019)
    Conference report
    Open Access
    The Density Matrix Renormalization Group (DMRG++) is a condensed matter physics application used to study superconductivity properties of materials. It’s main computations consist of calculating hamiltonian matrix which ...
  • BLAS-3 optimized by OmpSs regions (LASs library) 

    Valero Lara, Pedro; Catalán Pallarés, Sandra; Martorell Bofill, Xavier; Labarta Mancho, Jesús José (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Conference report
    Open Access
    In this paper we propose a set of optimizations for the BLAS-3 routines of LASs library (Linear Algebra routines on OmpSs) and perform a detailed analysis of the impact of the proposed changes in terms of performance and ...

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