Enviaments recents

  • Unified fault-tolerance framework for hybrid task-parallel message-passing applications 

    Subasi, Omer; Martsinkevich, Tatiana; Zyulkyarov, Ferad; Unsal, Osman; Labarta, Jesús; Cappello, Franck (SAGE Publications, 2016-09-26)
    Article
    Accés restringit per política de l'editorial
    We present a unified fault-tolerance framework for task-parallel message-passing applications to mitigate transient errors. First, we propose a fault-tolerant message-logging protocol that only requires the restart of the ...
  • An approach for an efficient execution of SPMD applications on Multi-core environments 

    Muresano, Ronal; Meyer, Hugo; Rexachs, Dolores; Luque, Emilio (Elsevier, 2017-01)
    Article
    Accés restringit per política de l'editorial
    Executing traditional Message Passing Interface (MPI) applications on multi-core cluster balancing speed and computational efficiency is a difficult task that parallel programmers have to deal with. For this reason, ...
  • COMP Superscalar, an interoperable programming framework 

    Badia Sala, Rosa Maria; Conejero, Javier; Díaz, Carlos; Ejarque, Jorge; Lezzi, Daniele; Lordan Gomis, Francesc-Josep; Ramón Cortés, Cristian; Sirvent Pardell, Raül (2015-12-01)
    Article
    Accés obert
    COMPSs is a programming framework that aims to facilitate the parallelization of existing applications written in Java, C/C++ and Python scripts. For that purpose, it offers a simple programming model based on sequential ...
  • Picos: A hardware runtime architecture support for OmpSs 

    Yazdanpanah Ahmadabadi, Fahimeh; Álvarez Martínez, Carlos; Jiménez González, Daniel; Badia Sala, Rosa Maria; Valero Cortés, Mateo (Elsevier, 2015-12)
    Article
    Accés restringit per política de l'editorial
    OmpSs is a programming model that provides a simple and powerful way of annotating sequential programs to exploit heterogeneity and task parallelism based on runtime data dependency analysis, dataflow scheduling and ...
  • IOStack: Software-Defined Object Storage 

    Gracia-Tinedo, Raúl; García-López, Pedro; Sánchez-Artigas, Marc; Sampé, Josep; Moatti, Yosef; Rom, Eran; Naor, Dalit; Nou, Ramon; Cortés, Toni; Oppermann, William; Michiardi, Pietro (Institute of Electrical and Electronics Engineers (IEEE), 2016-05-05)
    Article
    Accés obert
    The complexity and scale of today’s cloud storage systems is growing fast. In response to these challenges, Software- Defined Storage (SDS) has recently become a prime candidate to simplify storage management in the ...
  • Exploring the interoperability of remote GPGPU virtualization using rCUDA and directive-based programming models 

    Castelló, Adrian; Peña, Antonio J.; Mayo, Rafael; Planas, Judit; Quintana-Ortí, Enrique S.; Balaji, Pavan (Springer US, 2016-06-21)
    Article
    Accés restringit per política de l'editorial
    Directive-based programming models, such as OpenMP, OpenACC, and OmpSs, enable users to accelerate applications by using coprocessors with little effort. These devices offer significant computing power, but their use can ...
  • PARSECSs: Evaluating the impact of task parallelism in the PARSEC benchmark suite 

    Chasapis, Dimitrios; Casas Guix, Marc; Moreto Planas, Miquel; Vidal Ortiz, Raul; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José; Valero Cortés, Mateo (2015-12-01)
    Article
    Accés obert
    In this work, we show how parallel applications can be implemented efficiently using task parallelism. We also evaluate the benefits of such parallel paradigm with respect to other approaches. We use the PARSEC benchmark ...
  • Timely Error Detection for Effective Recovery in Light-Lockstep Automotive Systems 

    Hernandez, Carles; Abella, Jaume (Institute of Electrical and Electronics Engineers (IEEE), 2015-05-19)
    Article
    Accés obert
    Safety-relevant systems in the automotive domain often implement features such as lockstep execution for error detection, and reset and re-execution for error correction. Light-lockstep has already been adopted in some ...
  • Parallel Regularized Multiple-criteria Linear Programming 

    Qi, Zhinquan; Alexandrov, Vassil; Shi, Yong; Tian, Yingjie (Elsevier, 2014)
    Article
    Accés obert
    In this paper, we proposed a new parallel algorithm: Parallel Regularized Multiple-Criteria Linear Programming (PRMCLP) to overcome the computing and storage requirements increased rapidly with the number of training ...
  • Towards Understanding Uncertainty in Cloud Computing Resource Provisioning 

    Tchernykh, Andrei; Schwiegelsohn, Uwe; Alexandrov, Vassil; Talbi, El-ghazali (Elsevier, 2015)
    Article
    Accés obert
    In spite of extensive research of uncertainty issues in different fields ranging from computational biology to decision making in economics, a study of uncertainty for cloud computing systems is limited. Most of works ...

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