Early in 2004 the Ministry of Education and Science (Spanish Government), Generalitat de Catalunya (local Catalan Government) and Technical University of Catalonia (UPC) took the initiative of creating a National Supercomputing Center in Barcelona. BSC-CNS (Barcelona Supercomputing Center – Centro Nacional de Supercomputación) is the National Supercomputing Facility in Spain and was officially constituted in April 2005. BSC-CNS manages MareNostrum, one of the most powerful supercomputers in Europe, located at the Torre Girona chapel. The mission of BSC-CNS is to investigate, develop and manage information technology in order to facilitate scientific progress. With this aim, special dedication has been taken to areas such as Computer Sciences, Life Sciences, Earth Sciences and Computational Applications in Science and Engineering.

http://www.bsc.es/

Recent Submissions

  • Monte Carlo Techniques for Drug Design: The Success Case of PELE 

    Gilabert, Joan F.; Lecina, Daniel; Estrada, Jorge; Guallar, Victor (Wiley, 2018-12-21)
    Part of book or chapter of book
    Open Access
    This chapter summarizes the most representative software packages that readily allow running Monte Carlo (MC) simulations in relevant scenarios for drug design. It explores in detail the Protein Energy Landscape Exploration ...
  • Machine Learning-based Query Augmentation for SPARQL Endpoints 

    Rico, Mariano; Touma, Rizkallah; Queralt Calafat, Anna; Pérez, María S. (2018)
    Conference lecture
    Open Access
    Linked Data repositories have become a popular source of publicly-available data. Users accessing this data through SPARQL endpoints usually launch several restrictive yet similar consecutive queries, either to find the ...
  • When and How to Apply Statistics, Machine Learning and Deep Learning Techniques 

    Berral-García, Josep Ll. (IEEE, 2018-09-21)
    Conference lecture
    Open Access
    Machine Learning has become 'commodity' in engineering and experimental sciences, as calculus and statistics did before. After the hype produced during the 00's, machine learning (statistical learning, neural networks, ...
  • LAEC: Look-Ahead Error Correction Codes in Embedded Processors L1 Data Cache 

    Benedicte, Pedro; Hernandez, Carles; Abella, Jaume; Cazorla, Francisco J. (IEEE, 2019-05-16)
    Conference lecture
    Open Access
    As implementation technology shrinks, the presence of errors in cache memories is becoming an increasing issue in all computing domains. Critical systems, e.g. space and automotive, are specially exposed and susceptible ...
  • Assessing the Adherence of an Industrial Autonomous Driving Framework to ISO 26262 Software Guidelines 

    Tabani, Hamid; Kosmidis, Leonidas; Abella, Jaume; Cazorla, Francisco J.; Bernat, Guillem (Association for Computing Machinery (ACM), 2019-06-06)
    Conference lecture
    Open Access
    The complexity and size of Autonomous Driving (AD) software are comparably higher than that of software implementing other (standard) functionalities in the car. To make things worse, a big fraction of AD software is not ...
  • Approximating a Multi-Grid Solver 

    Le Fèvre, Valentin; Bautista-Gomez, Leonardo; Unsal, Osman; Casas, Marc (IEEE, 2019-02-14)
    Conference lecture
    Open Access
    Multi-grid methods are numerical algorithms used in parallel and distributed processing. The main idea of multigrid solvers is to speedup the convergence of an iterative method by reducing the problem to a coarser grid a ...
  • Switching the substrate preference of fungal aryl-alcohol oxidase: towards stereoselective oxidation of secondary benzyl alcohols 

    Serrano, Ana; Sancho, Ferran; Viña-González, Javier; Carro, Juan; Alcalde, Miguel; Guallar, Victor; Martínez, Angel T. (Royal Society of Chemistry, 2019-01-22)
    Article
    Open Access
    Oxidation of primary alcohols by aryl-alcohol oxidase (AAO), a flavoenzyme that provides H2O2 to fungal peroxidases for lignin degradation in nature, is achieved by concerted hydroxyl proton transfer and stereoselective ...
  • Climate controls on snow reliability in French Alps ski resorts 

    Spandre, P.; François, H.; Verfaillie, Deborah; Lafaysse, M.; Déqué, M.; Eckert, N.; George, E.; Morin, S. (Nature Research, 2019-05-29)
    Article
    Open Access
    Ski tourism is a major sector of mountain regions economy, which is under the threat of long-term climate change. Snow management, and in particular grooming and artificial snowmaking, has become a routine component of ski ...
  • Towards limiting the impact of timing anomalies in complex real-time processors 

    Benedicte, Pedro; Abella, Jaume; Hernandez, Carles; Mezzetti, Enrico; Cazorla, Francisco J. (Association for Computing Machinery (ACM), 2019-01-21)
    Conference report
    Open Access
    Timing verification of embedded critical real-time systems is hindered by complex designs. Timing anomalies, deeply analyzed in static timing analysis, require specific solutions to bound their impact. For the first time, ...
  • Towards Ad Hoc Recovery for Soft Errors 

    Losada, Nuria; Bautista-Gomez, Leonardo; Keller, Kai; Unsal, Osman (IEEE, 2018-12-06)
    Conference lecture
    Open Access
    The coming exascale era is a great opportunity for high performance computing (HPC) applications. However, high failure rates on these systems will hazard the successful completion of their execution. Bit-flip errors in ...
  • HERMESv3, a stand-alone multi-scale atmospheric emission modelling framework – Part 1: global and regional module 

    Guevara, Marc; Tena, Carles; Porquet, Manuel; Jorba, Oriol; Pérez García-Pando, Carlos (European Geosciences Union (EGU), 2019-05-14)
    Article
    Open Access
    Abstract Back to top We present the High-Elective Resolution Modelling Emission System version 3 (HERMESv3), an open source, parallel and stand-alone multi-scale atmospheric emission modelling framework that computes ...
  • Impact of reanalysis boundary conditions on downscaled Atlantic hurricane activity 

    Baudouin, Jean-Philippe; Caron, Louis-Philippe; Boudreault, Mathieu (Springer, 2019-03)
    Article
    Open Access
    Climate models are capable of producing features similar to tropical cyclones, but typically display strong biases for many of the storm physical characteristics due to their relatively coarse resolution compared to the ...

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