Now showing items 1-12 of 137

    • HRM: merging hardware event monitors for improved timing analysis of complex MPSoCs 

      Vilardell Moreno, Sergi; Serra Mochales, Isabel; Santalla, Roberto; Mezzetti, Enrico; Abella Ferrer, Jaume; Cazorla Almeida, Francisco Javier (2020-09)
      Article
      Open Access
      The Performance Monitoring Unit (PMU) in MPSoCs is at the heart of the latest measurement-based timing analysis techniques in Critical Embedded Systems. In particular, hardware event monitors (HEMs) in the PMU are used ...
    • Performance and energy consumption of HPC workloads on a cluster based on Arm ThunderX2 CPU 

      Mantovani, Filippo; Garcia Gasulla, Marta; Gracia, Jose; Stafford, Esteban; Banchelli Gracia, Fabio; Josep Fabregó, Marc; Criado Ledesma, Joel; Nachtmann, Mathias (Elsevier, 2020-11)
      Article
      Restricted access - publisher's policy
      In this paper, we analyze the performance and energy consumption of an Arm-based high-performance computing (HPC) system developed within the European project Mont-Blanc 3. This system, called Dibona, has been integrated ...
    • GPU4S: Embedded GPUs in Space - Latest project updates 

      Kosmidis, Leonidas; Rodríguez Ferrandez, Iván; Jover Álvarez, Álvaro; Alcaide Portet, Sergi; Lachaize, Jérôme; Abella Ferrer, Jaume; Notebaert, Olivier; Cazorla Almeida, Francisco Javier; Steenari, David (2020-06-10)
      Article
      Restricted access - publisher's policy
      Following the trend of other safety-critical industries like automotive and avionics, the space domain is witnessing an increase in the on-board computing performance demands. This raise in performance needs comes from ...
    • Extending the OpenCHK Model with advanced checkpoint features 

      Maroñas Bravo, Marcos; Mateo Bellido, Sergi; Keller, Kai Rasmus; Bautista Gomez, Leonardo Arturo; Ayguadé Parra, Eduard; Beltran Querol, Vicenç (Elsevier, 2020-11)
      Article
      Restricted access - publisher's policy
      One of the major challenges in using extreme scale systems efficiently is to mitigate the impact of faults. Application-level checkpoint/restart (CR) methods provide the best trade-off between productivity, robustness, and ...
    • cuThomasBatch and cuThomasVBatch, CUDA Routines to compute batch of tridiagonal systems on NVIDIA GPUs 

      Valero Lara, Pedro; Martinez Pérez, Ivan; Sirvent, Raül; Martorell Bofill, Xavier; Peña, Antonio J. (Wiley, 2018-01-01)
      Article
      Open Access
      The solving of tridiagonal systems is one of the most computationally expensive parts in many applications, so that multiple studies have explored the use of NVIDIA GPUs to accelerate such computation. However, these studies ...
    • Enabling Ada and OpenMP runtimes interoperability through template-based execution 

      Royuela Alcázar, Sara; Pinho, Luís Miguel; Quiñones, Eduardo (Elsevier, 2020-05)
      Article
      Open Access
      The growing trend to support parallel computation to enable the performance gains of the recent hardware architectures is increasingly present in more conservative domains, such as safety-critical systems. Applications ...
    • Analysis of the key features of the seismic actions due to the three main earthquakes of May 11, 2011 in Lorca, Spain 

      Aguilar Meléndez, Armando; de la Puente Álvarez, Josep; Monterrubio Velasco, Marisol; Rodriguez Lozoya, Héctor Enrique; Rojas, Otilio; Calderón Ramón, Celia M.; Castillo Reyes, Octavio; García Elías, Alejandro; Campos Ríos, Amelia (2019)
      Article
      Open Access
      The seismic records are in general valuable information, especially in cases where damage in buildings has occurred. The main purpose of the present document is to describe the principal results of the analysis of features ...
    • Randomization for safer, more reliable and secure, high-performance automotive processors 

      Trilla Rodríguez, David; Cazorla Almeida, Francisco Javier; Hernández Luz, Carles; Abella Ferrer, Jaume (Institute of Electrical and Electronics Engineers (IEEE), 2019-12)
      Article
      Open Access
      The automotive domain is witnessing a relentless transition to autonomous cars demanding high-performance processors to timely execute complex, critical, decision-making software. The other side of the coin is that ...
    • DMR API: improving cluster productivity by turning applications into malleable 

      Iserte, Sergio; Mayo, Rafael; Quintana-Ortí, Enrique S.; Beltran, vicenç; Peña, Antonio (Elsevier, 2018-10)
      Article
      Open Access
      Adaptive workloads can change on–the–fly the configuration of their jobs, in terms of number of processes. To carry out these job reconfigurations, we have designed a methodology which enables a job to communicate with the ...
    • Analysis of threading libraries for high performance computing 

      Castello, Adrián; Mayo, Rafael; Sangmin, Seo; Pavan, Balaji; Quintana-Ortí, Enrique S.; Peña, Antonio (IEEE, 2020)
      Article
      Open Access
      With the appearance of multi-many core machines, applications and runtime systems evolved in order to exploit the new on-node concurrency that brought new software paradigms. POSIX threads (Pthreads) was widely-adopted for ...
    • BIGSEA: A big data analytics platform for public transportation information 

      Alic, Andy S.; Almeida, Jurassa; Aloisio, Giovanni; Andrade, Nazareno; Antunes, Nuno; Ardagna, Danilo; Badia Sala, Rosa Maria; Basso, Tania; Blanquer, Ignacio; Braz, Tarciso; Brito, Andrey; Elia, Donatello; Fiore, Sandro; Guedes, Dorgival; Lattuada, Marco; Lezzi, Daniele; Maciel, Matheus; Meira Jr, Wagner; Mestre, Demetrio; Moraes, Regina; Morais, Fabio; Pires, Carlos Eduardo; Kozievitch, Nádia P.; dos Santos, Walter; Silva, Paulo; Vieira, Marco (Elsevier, 2019-07)
      Article
      Restricted access - publisher's policy
      Analysis of public transportation data in large cities is a challenging problem. Managing data ingestion, data storage, data quality enhancement, modelling and analysis requires intensive computing and a non-trivial amount ...
    • The fourth-revolution in the water sector encounters the digital revolution 

      Garrido Baserba, Manel; Corominas Tabares, Lluis; Cortés García, Claudio Ulises; Rosso, Diego; Poch Espallargas, Manel (2020-03-10)
      Article
      Restricted access - publisher's policy
      The so-called fourth revolution in the water sector will encounter the Big data and Artificial Intelligence (AI) revolution. The current data surplus stemming from all types of devices together with the relentless increase ...