Enviaments recents

  • Fault Characterization Through FPGA Undervolting 

    Salami, Behzad; Unsal, Osman S.; Cristal, Adrian (IEEE, 2018-12-06)
    Comunicació de congrés
    Accés obert
    The power and energy efficiency of Field Programmable Gate Arrays (FPGAs) are estimated to be up to 20X less than Application Specific Integrated Circuits (ASICs). What is needed to close this gap is aggressive power/energy ...
  • Comprehensive Evaluation of Supply Voltage Underscaling in FPGA on-Chip Memories 

    Salami, Behzad; Unsal, Osman S.; Cristal, Adrian (IEEE, 2018-12-13)
    Comunicació de congrés
    Accés obert
    In this work, we evaluate aggressive undervolting, i.e., voltage scaling below the nominal level to reduce the energy consumption of Field Programmable Gate Arrays (FPGAs). Usually, voltage guardbands are added by chip ...
  • On the Applicability of PEBS based Online Memory Access Tracking for Heterogeneous Memory Management at Scale 

    Roca Nonell, Aleix; Gerofi, Balazs; Bautista-Gomez, Leonardo; Martinet, Dominique; Beltran, Vicenç; Ishikawa, Yutaka (Association for Computing Machinery (ACM), 2018-11)
    Comunicació de congrés
    Accés obert
    Operating systems have historically had to manage only a single type of memory device. The imminent availability of heterogeneous memory devices based on emerging memory technologies confronts the classic single memory ...
  • Multi-tenant Pub/Sub Processing for Real-Time Data Streams 

    Villalba, Álvaro; Carrera, David (Springer, 2018-12)
    Comunicació de congrés
    Accés obert
    Devices and sensors generate streams of data across a diversity of locations and protocols. That data usually reaches a central platform that is used to store and process the streams. Processing can be done in real time, ...
  • Disaggregating Non-Volatile Memory for Throughput-Oriented Genomics Workloads 

    Call, Aaron; Polo, Jordà; Carrera, David; Guim, Francesc; Sen, Sujoy (Springer, 2018-12)
    Comunicació de congrés
    Accés obert
    Massive exploitation of next-generation sequencing technologies requires dealing with both: huge amounts of data and complex bioinformatics pipelines. Computing architectures have evolved to deal with these problems, ...
  • Brook GLES Pi: democratising accelerator programming 

    Trompouki, Matina Maria; Kosmidis, Leonidas (Association for Computing Machinery (ACM), 2018-08-10)
    Comunicació de congrés
    Accés obert
    Nowadays computing is heavily-based on accelerators, however, the cost of the hardware equipment prevents equal access to heterogeneous programming. In this work we present Brook GLES Pi, a port of the accelerator programming ...
  • Industrial experiences with resource management under software randomization in ARINC653 avionics environments 

    Kosmidis, Leonidas; Maxim, Cristian; Jegu, Victor; Vatrinet, Francis; Cazorla, Francisco J. (Association for Computing Machinery (ACM), 2018-11-05)
    Comunicació de congrés
    Accés obert
    Injecting randomization in different layers of the computing platform has been shown beneficial for security, resilience to software bugs and timing analysis. In this paper, with focus on the latter, we show our experience ...
  • Exploring the Vision Processing Unit as Co-Processor for Inference 

    Rivas-Gomez, Sergio; Peña, Antonio J.; Moloney, David; Laure, Erwin; Markidis, Stefano (IEEE, 2018-08-06)
    Comunicació de congrés
    Accés obert
    The success of the exascale supercomputer is largely debated to remain dependent on novel breakthroughs in technology that effectively reduce the power consumption and thermal dissipation requirements. In this work, we ...
  • HPC benchmarking: scaling right and looking beyond the average 

    Radulovic, Milan; Asifuzzaman, Kazi; Carpenter, Paul Matthew; Radojkovic, Petar; Ayguadé Parra, Eduard (Springer, 2018)
    Text en actes de congrés
    Accés restringit per política de l'editorial
    Designing a balanced HPC system requires an understanding of the dominant performance bottlenecks. There is as yet no well established methodology for a unified evaluation of HPC systems and workloads that quantifies the ...
  • Performance Characterization of Spark Workloads on Shared NUMA Systems 

    Baig, Shuja-ur-Rehman; Amaral, Marcelo; Polo, Jordà; Carrera, David (IEEE, 2018-07-09)
    Comunicació de congrés
    Accés obert
    As the adoption of Big Data technologies becomes the norm in an increasing number of scenarios, there is also a growing need to optimize them for modern processors. Spark has gained momentum over the last few years among ...
  • LEGaTO: towards energy-efficient, secure, fault-tolerant toolset for heterogeneous computing 

    Cristal, Adrian; Unsal, Osman S.; Martorell, Xavier; Carpenter, Paul; de la Cruz, Raul; Bautista, Leonardo; Jimenez, Daniel; Alvarez, Carlos; Salami, Behzad; Madonar, Sergi; Pericàs, Miquel; Trancoso, Pedro; von dem Berge, Micha; Billung-Meyer, Gunnar; Krupop, Stefan; Christmann, Wolfgang; Klawonn, Frank; Mihklafi, Amani; Becker, Tobias; Gaydadjiev, Georgi; Salomonsson, Hans; Dubhashi, Devdatt; Port, Oron; Etsion, Yoav; Nowack, Vesna; Fetzer, Christof; Hagemeyer, Jens; Jungeblut, Thorsten; Kucza, Nils; Kaiser, Martin; Porrmann, Mario; Pasin, Marcelo; Schiavoni, Valerio; Rocha, Isabelly; Göttel, Christian; Felber, Pascal (Association for Computing Machinery (ACM), 2018-05-08)
    Comunicació de congrés
    Accés obert
    LEGaTO is a three-year EU H2020 project which started in December 2017. The LEGaTO project will leverage task-based programming models to provide a software ecosystem for Made-in-Europe heterogeneous hardware composed of ...
  • RPR: a random replacement policy with limited pathological replacements 

    Benedicte, Pedro; Hernandez, Carles; Abella, Jaume; Cazorla, Francisco J. (Association for Computing Machinery (ACM), 2018-04-13)
    Comunicació de congrés
    Accés obert
    Measurement-Based Probabilistic Timing Analysis (MBPTA) has consolidated as a technique to estimate probabilistic Worst-Case Execution Times (WCET) for critical software running on processors with high-performance hardware ...

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