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 ...
  • Performance study of HPC applications on an Arm-based cluster using a generic efficiency model 

    Banchelli Gracia, Fabio; Peiró Conde, Kilian; Querol de Porras, Andrea; Ramírez Gargallo, Guillem; Ramírez Miranda, Guillem; Vinyals Ylla-Català, Joan; Vizcaino Serrano, Pablo; Garcia Gasulla, Marta; Mantovani, Filippo (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Open Access
    HPC systems and parallel applications are increasing their complexity. Therefore the possibility of easily study and project at large scale the performance of scientific applications is of paramount importance. In this ...
  • 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 ...
  • Application-level differential checkpointing for HPC applications with dynamic datasets 

    Keller, Kai Rasmus; Bautista Gomez, Leonardo Arturo (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Conference report
    Open Access
    High-performance computing (HPC) requires resilience techniques such as checkpointing in order to tolerate failures in supercomputers. As the number of nodes and memory in supercomputers keeps on increasing, the size of ...
  • 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 ...
  • Worst-case energy consumption: A new challenge for battery-powered critical devices 

    Trilla Rodríguez, David; Hernández Luz, Carles; Abella Ferrer, Jaume; Cazorla Almeida, Francisco Javier (Institute of Electrical and Electronics Engineers (IEEE), 2019-09-24)
    Article
    Open Access
    The number of devices connected to the IoT is on the rise, reaching hundreds of billions in the next years. Many devices will implement some type of critical functionality, for instance in the medical market. Energy awareness ...
  • STT-MRAM for real-time embedded systems: performance and WCET implications 

    Asifuzzaman, Kazi; Fernández, Mikel; Radojkovic, Petar; Abella Ferrer, Jaume; Cazorla Almeida, Francisco Javier (Association for Computing Machinery (ACM), 2019)
    Conference report
    Open Access
    STT-MRAM is an emerging non-volatile memory quickly approaching DRAM in terms of capacity, frequency and device size. Intensified efforts in STT-MRAM research by the memory manufacturers may indicate a revolution with ...
  • 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 ...
  • Continuous-action reinforcement learning for memory allocation in virtualized servers 

    Garrido Platero, Luis Ángel; Nishtala, Rajiv; Carpenter, Paul Matthew (Springer, 2019)
    Conference report
    Open Access
    In a virtualized computing server (node) with multiple Virtual Machines (VMs), it is necessary to dynamically allocate memory among the VMs. In many cases, this is done only considering the memory demand of each VM without ...
  • Modeling the impact of process variations in worst-case energy consumption estimation 

    Trilla Rodríguez, David; Hernández Luz, Carles; Abella Ferrer, Jaume; Cazorla Almeida, Francisco Javier (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Conference report
    Open Access
    The advent of autonomous power-limited systems poses a new challenge for system verification. Powerful processors needed to enable autonomous operation, are typically power-hungry, jeopardizing battery duration. Therefore, ...
  • Software-only diverse redundancy on GPUs for autonomous driving platforms 

    Alcaide Portet, Sergi; Kosmidis, Leonidas; Hernández Luz, Carles; Abella Ferrer, Jaume (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Conference report
    Open Access
    Autonomous driving (AD) builds upon high-performance computing platforms including (1) general purpose CPUs as well as (2) specific accelerators, being GPUs one of the main representatives. Microcontrollers have reached ...
  • An approach for detecting power peaks during testing and breaking systematic pathological behavior 

    Trilla Rodríguez, David; Hernández Luz, Carles; Abella Ferrer, Jaume; Cazorla Almeida, Francisco Javier (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Conference report
    Open Access
    The verification and validation process of embedded critical systems requires providing evidence of their functional correctness and also that their non-functional behavior stays within limits. In this work, we focus on ...

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