Enviaments recents

  • Work-in-Progress Paper: An Analysis of the Impact of Dependencies on Probabilistic Timing Analysis and Task Scheduling 

    Mezzetti, Enrico; Abella, Jaume; Hernandez, Carles; Cazorla, Francisco J. (IEEE, 2018-02-01)
    Comunicació de congrés
    Accés obert
    Recently there has been a renewed interest for probabilistic timing analysis (PTA) and probabilistic task scheduling (PTS). Despite the number of works in both fields, the link between them is weak: works on the latter ...
  • Design and integration of hierarchical-placement multi-level caches for real-time systems 

    Benedicte, Pedro; Hernandez, Carles; Abella, Jaume; Cazorla, Francisco J. (IEEE, 2018-04-23)
    Comunicació de congrés
    Accés obert
    Enabling timing analysis in the presence of caches has been pursued by the real-time embedded systems (RTES) community for years due to cache's huge potential to reduce software's worst-case execution time (WCET). However, ...
  • dReDBox: Materializing a full-stack rack-scale system prototype of a next-generation disaggregated datacenter 

    Bielski, M.; Syrigos, I.; Katrinis, K.; Syrivelis, D.; Reale, A.; Theodoropoulos, D.; Alachiotis, N.; Pnevmatikatos, D.; Pap, E.H.; Zervas, G.; Mishra, V.; Saljoghei, A.; Rigo, A.; Fernando Zazo, J.; Lopez-Buedo, S.; Torrents, Marti; Zyulkyarov, Ferad Hasanov; Enrico, M.; Gonzalez de Dios, O. (IEEE, 2018-04-23)
    Comunicació de congrés
    Accés obert
    Current datacenters are based on server machines, whose mainboard and hardware components form the baseline, monolithic building block that the rest of the system software, middleware and application stack are built upon. ...
  • Enabling GPU Support for the COMPSs-Mobile Framework 

    Lordan, Francesc; Badia, Rosa M.; Hwu, Wen-Mei (Springer, 2018-01-31)
    Comunicació de congrés
    Accés obert
    Using the GPUs embedded in mobile devices allows for increasing the performance of the applications running on them while reducing the energy consumption of their execution. This article presents a task-based solution for ...
  • Energy Analysis of a 4D Variational Data Assimilation Algorithm and Evaluation on ARM-Based HPC Systems 

    Arcucci, Rossella; Basciano, Davide; Cilardo, Alessandro; D'Amore, Luisa; Mantovani, Filippo (Springer, 2018-03-23)
    Comunicació de congrés
    Accés obert
    Driven by the emerging requirements of High Performance Computing (HPC) architectures, the main focus of this work is the interplay of computational and energetic aspects of a Four Dimensional Variational (4DVAR) Data ...
  • Brook Auto: High-Level Certification-Friendly Programming for GPU-powered Automotive Systems 

    Trompouki, Matina M.; Kosmidis, Leonidas (Association for Computing Machinery (ACM), 2018)
    Comunicació de congrés
    Accés obert
    Modern automotive systems require increased performance to implement Advanced Driving Assistance Systems (ADAS). GPU-powered platforms are promising candidates for such computational tasks, however current low-level ...
  • DJSB: Dynamic Job Scheduling Benchmark 

    Lopez, Victor; Jokanovic, Ana; Amico, Marco D'; Garcia, Marta; Sirvent, Raul; Corbalan, Julita (Springer, 2018-02-28)
    Comunicació de congrés
    Accés obert
    High-performance computing (HPC) systems are very big and powerful systems, with the main goal of achieving maximum performance of parallel jobs. Many dynamic factors influence the performance which makes this goal a ...
  • Diluting the Scalability Boundaries: Exploring the Use of Disaggregated Architectures for High-Level Network Data Analysis 

    Vega, Carlos; Zazo, Jose F.; Meyer, Hugo; Zyulkyarov, Ferad; Lopez-Buedo, S.; Aracil, Javier (IEEE, 2018-02-15)
    Comunicació de congrés
    Accés obert
    Traditional data centers are designed with a rigid architecture of fit-for-purpose servers that provision resources beyond the average workload in order to deal with occasional peaks of data. Heterogeneous data centers are ...
  • An open benchmark implementation for multi-CPU multi-GPU pedestrian detection in automotive systems 

    Trompouki, Matina M.; Kosmidis, Leonidas; Navarro, Nacho (IEEE, 2017-12-14)
    Comunicació de congrés
    Accés obert
    Modern and future automotive systems incorporate several Advanced Driving Assistance Systems (ADAS). Those systems require significant performance that cannot be provided with traditional automotive processors and programming ...
  • Interconnect Energy Savings and Lower Latency Networks in Hadoop Clusters: The Missing Link 

    Fischer e Silva, Renan; Carpenter, Paul M. (IEEE, 2017)
    Comunicació de congrés
    Accés obert
    An important challenge of modern data centres running Hadoop workloads is to minimise energy consumption, a significant proportion of which is due to the network. Significant network savings are already possible using ...
  • Efficient exception handling support for GPUs 

    Tanasic, Ivan; Gelado Fernandez, Isaac; Jorda, Marc; Ayguadé Parra, Eduard; Navarro, Nacho (Association for Computing Machinery (ACM), 2017)
    Text en actes de congrés
    Accés restringit per política de l'editorial
    Operating systems have long relied on the exception handling mechanism to implement numerous virtual memory features and optimizations. However, today's GPUs have a limited support for exceptions, which prevents implementation ...
  • Evaluating Scientific Workflow Execution on an Asymmetric Multicore Processor 

    Pietri, Ilia; Zhuang, Sicong; Casas, Marc; Moretó, Miquel; Sakellariou, Rizos (Springer, 2018-02)
    Comunicació de congrés
    Accés obert
    Asymmetric multicore architectures that integrate different types of cores are emerging as a potential solution for good performance and power efficiency. Although scheduling can be improved by utilizing an appropriate set ...

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