Recent Submissions

  • PETGEM: A parallel code for 3D CSEM forward modeling using edge finite elements 

    Castillo Reyes, Octavio; de la Puente Álvarez, Josep; Cela Espín, José M. (2018-10)
    Article
    Restricted access - publisher's policy
    We present the capabilities and results of the Parallel Edge-based Tool for Geophysical Electromagnetic modeling (PETGEM), as well as the physical and numerical foundations upon which it has been developed. PETGEM is an ...
  • A highly parallel algorithm for computing the action of a matrix exponential on a vector based on a multilevel Monte Carlo method 

    Acebrón de Torres, Juan A.; Herrero Zaragoza, José Ramón; Monteiro, José (2020-01-01)
    Article
    Restricted access - publisher's policy
    A novel algorithm for computing the action of a matrix exponential over a vector is proposed. The algorithm is based on a multilevel Monte Carlo method, and the vector solution is computed probabilistically generating ...
  • 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 ...
  • BioExcel Building Blocks, a software library for interoperable biomolecular simulation workflows 

    Andrio, Pau; Hospital, Adam; Conejero Bañón, Javier; Jordá, Luis; del Pino, Marc; Codo, Laia; Soiland Reyes, Stian; Goble, Carole; Lezzi, Daniele; Badia Sala, Rosa Maria; Orozco López, Modesto; Gelpi Buchaca, Josep Lluís (Nature, 2019-09-10)
    Article
    Open Access
    In the recent years, the improvement of software and hardware performance has made biomolecular simulations a mature tool for the study of biological processes. Simulation length and the size and complexity of the analyzed ...
  • Upgrading a high performance computing environment for massive data processing 

    Ponce, Lucas M.; dos Santos, Walter; Meira Jr, Wagner; Guedes, Dorgival; Lezzi, Daniele; Badia Sala, Rosa Maria (Springer, 2019-10-16)
    Article
    Open Access
    High-performance computing (HPC) and massive data processing (Big Data) are two trends that are beginning to converge. In that process, aspects of hardware architectures, systems support and programming paradigms are being ...
  • CAPre: Code-Analysis based Prefetching for Persistent object stores 

    Touma, Rizkallah; Queralt Calafat, Anna; Cortés, Toni (Elsevier, 2019-11-12)
    Article
    Restricted access - publisher's policy
    Data prefetching aims to improve access times to data storage systems by predicting data records that are likely to be accessed by subsequent requests and retrieving them into a memory cache before they are needed. In the ...
  • Energy-aware self-adaptation for application execution on heterogeneous parallel architectures 

    Kavanagh, Richard; Djemame, Karim; Ejarque Artigas, Jorge; Badia Sala, Rosa Maria; Garcia Perez, David (Institute of Electrical and Electronics Engineers (IEEE), 2020-01)
    Article
    Open Access
    Hardware in High Performance Computing environments in recent years have increasingly become more heterogeneous in order to improve computational performance. An additional aspect of such systems is the management of power ...
  • The international race towards exascale in Europe 

    Gagliardi, Fabrizio; Moreto Planas, Miquel; Olivieri, Mauro; Valero Cortés, Mateo (Springer, 2019-05-06)
    Article
    Open Access
    In this article, we describe the context in which an international race towards Exascale computing has started. We cover the political and economic context and make a review of the recent history in high performance computing ...
  • A highly parameterizable framework for Conditional Restricted Boltzmann Machine based workloads accelerated with FPGAs and OpenCL 

    Jaksic, Zoran; Cadenelli, Nicola; Buchaca Prats, David; Polo Bardés, Jordà; Berral García, Josep Lluís; Carrera Pérez, David (Elsevier, 2020-03-01)
    Article
    Open Access
    Conditional Restricted Boltzmann Machine (CRBM) is a promising candidate for a multidimensional system modeling that can learn a probability distribution over a set of data. It is a specific type of an artificial neural ...
  • Adaptive sliding windows for improved estimation of data center resource utilization 

    Baig, Shuja-ur-Rehman; Iqbal, Waheed; Berral García, Josep Lluís; Carrera Pérez, David (Elsevier, 2020-03)
    Article
    Open Access
    Accurate prediction of data center resource utilization is required for capacity planning, job scheduling, energy saving, workload placement, and load balancing to utilize the resources efficiently. However, accurately ...
  • Real-time data center's telemetry reduction and reconstruction using Markov chain models 

    Baig, Shuja-ur-Rehman; Iqbal, Waheed; Berral García, Josep Lluís; Erradi, Abdelkarim; Carrera Pérez, David (2019-12)
    Article
    Open Access
    Large-scale data centers are composed of thousands of servers organized in interconnected racks to offer services to users. These data centers continuously generate large amounts of telemetry data streams (e.g., hardware ...
  • Adaptive prediction models for data center resources utilization estimation 

    Baig, Shuja-ur-Rehman; Iqbal, Waheed; Berral García, Josep Lluís; Erradi, Abdelkarim; Carrera Pérez, David (2019-12)
    Article
    Open Access
    Accurate estimation of data center resource utilization is a challenging task due to multi-tenant co-hosted applications having dynamic and time-varying workloads. Accurate estimation of future resources utilization helps ...

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