Exploració per autor "Quiñones, Eduardo"

Ara es mostren els items 50-61 de 61

    • TASA: toolchain-agnostic static software randomisation for critical real-time systems 

      Kosmidis, Leonidas; Vargas, Roberto; Morales, David; Quiñones, Eduardo; Abella Ferrer, Jaume; Cazorla Almeida, Francisco Javier (Association for Computing Machinery (ACM), 2016)
      Text en actes de congrés
      Accés obert
      Measurement-Based Probabilistic Timing Analysis (MBPTA) derives WCET estimates for tasks running on processors comprising high-performance features such as caches. MBPTA's correct application requires the system to exhibit ...

    • Techniques for reducing and bounding OpenMP dynamic memory 

      Munera, Adrian; Royuela, Sara; Quiñones, Eduardo (Barcelona Supercomputing Center, 2019-05-07)
      Text en actes de congrés
      Accés obert
      OpenMP offers a tasking model very convenient to develop critical real-time parallel applications by virtue of its time predictability. However, current implementations make an intensive use of dynamic memory to efficiently ...

    • The AMPERE Project: A Model-driven development framework for highly Parallel and EneRgy-Efficient computation supporting multi-criteria optimization 

      Quiñones, Eduardo; Royuela Alcázar, Sara; Scordino, Claudio; Gai, Paolo; Pinho, Luis Miguel; Nogueira, Luis; Rollo, Jan; Cuccinottta, Tommaso; Biondi, Alessandro; Hammam, Arne; Ziegenbein, Dirk; Saoud, Hadi; Forsberg, Björn; Benini, Luca; Mando, Gianluca; Rucher, Luigi (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Text en actes de congrés
      Accés obert
      The high-performance requirements needed to implement the most advanced functionalities of current and future Cyber-Physical Systems (CPSs) are challenging the development processes of CPSs. On one side, CPSs rely on ...

    • The DeepHealth Toolkit: A key European free and open-source software for deep learning and computer vision ready to exploit heterogeneous HPC and cloud architectures 

      Aldinucci, Marco; Atienza, David; Bolelli, Federico; Caballero, Mónica; Colonnelli, Iacopo; Quiñones, Eduardo (Springer, Cham, 2022-04)
      Capítol de llibre
      Accés obert
      At the present time, we are immersed in the convergence between Big Data, High-Performance Computing and Artificial Intelligence. Technological progress in these three areas has accelerated in recent years, forcing different ...

    • The next convergence: High-performance and mission-critical markets 

      Girbal, Sylvain; Moretó Planas, Miquel; Grasset, Arnaud; Abella Ferrer, Jaume; Quiñones, Eduardo; Cazorla Almeida, Francisco Javier; Yehia, Sami (2013)
      Text en actes de congrés
      Accés obert
      The well-known convergence of the high-performance computing and the mobile markets has been a dominating factor in the computing market during the last two decades. In this paper we witness a new type of convergence between ...

    • The OpenMP API for high integrity systems: Moving responsibility from users to vendors 

      Klemm, Michael; Quiñones, Eduardo; Taft, Tucker; Ziegenbein, Dirk; Royuela Alcázar, Sara (Association for Computing Machinery, 2021)
      Article
      Accés obert
      OpenMP is traditionally focused on boosting performance in HPC systems. However, other domains are showing an increasing interest in the use of OpenMP by virtue of key aspects introduced in recent versions of the specification: ...

    • Time-analysable non-partitioned shared caches for real-time multicore systems 

      Slijepcevic, Mladen; Kosmidis, Leonidas; Abella Ferrer, Jaume; Quiñones, Eduardo; Cazorla Almeida, Francisco Javier (Association for Computing Machinery (ACM), 2014)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      Shared caches in multicores challenge Worst-Case Execution Time (WCET) estimation due to inter-task interferences. Hard-ware and software cache partitioning address this issue although they complicate data sharing among ...

    • Time-predictable parallel programming models 

      Serrano, María A.; Quiñones, Eduardo (Barcelona Supercomputing Center, 2017-05-04)
      Text en actes de congrés
      Accés obert
      Embedded Computing (EC) systems are increas-ingly concerned with providing higher performance in real-time while HPC applications require huge amounts of information to be processed within a bounded amount of time. Addressing ...

    • Time-predictable task-to-thread mapping in multi-core processors 

      Samadi, Mohammad; Royuela Alcázar, Sara; Pinho, Luis Miguel; Carvalho, Tiago; Quiñones, Eduardo (Elsevier, 2024)
      Article
      Accés obert
      The performance of time-predictable systems can be improved in multi-core processors using parallel programming models (e.g., OpenMP). However, schedulability analysis of parallel applications is a big challenge due to ...

    • Timing verification of fault-tolerant chips for safety-critical applications in harsh environments 

      Slijepcevic, Mladen; Kosmidis, Leonidas; Abella Ferrer, Jaume; Quiñones, Eduardo; Cazorla, Francisco J. (2014-11-01)
      Article
      Accés restringit per política de l'editorial
      Critical real-time embedded systems feature complex safety-related, performance-demanding functionality. High-performance hardware and software can provide such functionality, but the use of aggressive technologies and ...

    • Towards a qualifiable openMP framework for embedded systems 

      Munera, Adrian; Royuela Alcázar, Sara; Quiñones, Eduardo (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Text en actes de congrés
      Accés obert
      OpenMP is a very convenient programming model for critical real-time parallel applications due to its powerful tasking model and its proven time predictability. However, current implementations are not suitable for critical ...

    • Using randomized caches in probabilistic real-time systems 

      Quiñones, Eduardo; Berger, Emery D.; Bernat, Guillem; Cazorla Almeida, Francisco Javier (2009)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      While hardware caches are generally effective at improving application performance, they greatly complicate performance prediction. Slight changes in memory layout or data access patterns can lead to large and ...