Ara es mostren els items 1-12 de 22

    • Challenges and opportunities for RISC-V architectures towards genomics-based workloads 

      Gómez Sánchez, Gonzalo; Call Barreiro, Aaron; Teruel García, Xavier; Alonso Parrilla, Lorena; Morán Castany, Ignasi; Pérez Elena, Miguel Ángel; Torrents Arenales, David; Berral García, Josep Lluís (Springer, 2023)
      Capítol de llibre
      Accés obert
      The use of large-scale supercomputing architectures is a hard requirement for scientific computing Big-Data applications. An example is genomics analytics, where millions of data transformations and tests per patient need ...
    • 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 ...
    • A quaternion deterministic monogenic CNN layer for contrast invariance 

      Moya Sánchez, Eduardo Ulises; Xambó Descamps, Sebastián; Salazar Colores, Sebastián; Sánchez-Pérez, Abraham; Cortés García, Claudio Ulises (Springer, 2021)
      Capítol de llibre
      Accés obert
      Deep learning (DL) is attracting considerable interest as it currently achieves remarkable performance in many branches of science and technology. However, current DL cannot guarantee capabilities of the mammalian visual ...
    • Managing failures in task-based parallel workflows in distributed computing environments 

      Ejarque, Jorge; Bertran, Marta; Álvarez Cid-Fuentes, Javier; Conejero, Javier; Badia Sala, Rosa Maria (Springer, Cham, 2020)
      Capítol de llibre
      Accés obert
      Current scientific workflows are large and complex. They normally perform thousands of simulations whose results combined with searching and data analytics algorithms, in order to infer new knowledge, generate a very large ...
    • Predictable parallel programming with OpenMP 

      Serrano Gracia, María Astón; Royuela Alcázar, Sara; Marongiu, Andrea; Quiñones Moreno, Eduardo (River Publishers, 2018)
      Capítol de llibre
      Accés obert
      This chapter motivates the use of the OpenMP (Open Multi-Processing) parallel programming model to develop future critical real-time embedded systems, and analyzes the time-predictable properties of the OpenMP tasking ...
    • YOLO: Speeding Up VM and Docker Boot Time by Reducing I/O Operations 

      Nguyen, Thuy L.; Nou Castell, Ramon; Lebre, Adrien (Springer, 2019)
      Capítol de llibre
      Accés obert
      Although this comes as a surprise, the time to boot a Docker-based container can last as long as a virtual machine in high consolidated cloud scenarios. Because this time is critical as boot duration defines how an application ...
    • Towards an energy-aware framework for application development and execution in heterogeneous parallel architectures 

      Djemame, Karim; Kavanagh, Richard; Kelefouras, Vasilios; Aguilà, Adrià; Ejarque, Jorge; Badia Sala, Rosa Maria; García-Pérez, David; Pezuela, Clara; Deprez, Jean-Christophe; Guedria, Lofti; De Landtsheer, Renaud; Georgiou, Yiannis (Springer, 2019)
      Capítol de llibre
      Accés obert
      The Transparent heterogeneous hardware Architecture deployment for eNergy Gain in Operation (TANGO) project’s goal is to characterise factors which affect power consumption in software development and operation for ...
    • dReDBox: A Disaggregated Architectural Perspective for Data Centers 

      Alachiotis, Nikolaos; Andronikakis, Andreas; Papadakis, Orion; Theodoropoulos, Dimitris; Pnevmatikatos, Dionisios; Syrivelis, Dimitris; Reale, Andrea; Katrinis, Kostas; Zervas, George; Mishra, Vaibhawa; Yuan, Hui; Syrigos, Ilias; Igoumenos, Ioannis; Korakis, Thanasis; Torrents, Marti; Zyulkyarov, Ferad (Springer, 2018-08-22)
      Capítol de llibre
      Accés obert
      Data centers are currently constructed with fixed blocks (blades); the hard boundaries of this approach lead to suboptimal utilization of resources and increased energy requirements. The dReDBox (disaggregated Recursive ...
    • Towards an OpenMP Specification for Critical Real-Time Systems 

      Serrano Gracia, María Astón; Royuela Alcázar, Sara; Quiñones Moreno, Eduardo (Springer, 2018)
      Comunicació de congrés
      Accés obert
      OpenMP is increasingly being considered as a convenient parallel programming model to cope with the performance requirements of critical real-time systems. Recent works demonstrate that OpenMP enables to derive guarantees ...
    • Implementation of the K-Means Algorithm on Heterogeneous Devices: A Use Case Based on an Industrial Dataset 

      Xu, Ying hao; Vidal, Miquel; Arejita, Beñat; Diaz, Javier; Alvarez, Carlos; Jiménez González, Daniel; Martorell Bofill, Xavier; Mantovani, Filippo (IOS Press, 2018)
      Comunicació de congrés
      Accés obert
      This paper presents and analyzes a heterogeneous implementation of an industrial use case based on K-means that targets symmetric multiprocessing (SMP), GPUs and FPGAs. We present how the application can be optimized from ...
    • Multi-Node Advanced Performance and Power Analysis with Paraver 

      Mantovani, Filippo; Calore, Enrico (IOS Press, 2018)
      Comunicació de congrés
      Accés obert
      Performance analysis tools allow application developers to identify and characterize the inefficiencies that cause performance degradation in their codes. Due to the increasing interest in the High Performance Computing ...
    • An Architecture for Programming Distributed Applications on Fog to Cloud Systems 

      Lordan Gomis, Francesc-Josep; Lezzi, Daniele; Ejarque, Jorge; Badia Sala, Rosa Maria (Springer, 2018-02-08)
      Comunicació de congrés
      Accés obert
      This paper presents a framework to develop and execute applications in distributed and highly dynamic computing systems composed of cloud resources and fog devices such as mobile phones, cloudlets, and micro-clouds. The ...