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/

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Recent Submissions

  • How reliable are decadal climate predictions of near-surface air temperature? 

    Verfaillie, Deborah; Doblas-Reyes, Francisco; Donat, Markus; Pérez-Zanón, Núria; Solaraju-Murali, Balakrishnan; Torralba, Verónica; Wild, Simon (American Meteorological Society (AMS), 2020)
    Article
    Open Access
    Decadal climate predictions are being increasingly used by stakeholders interested in the evolution of climate over the coming decade. However, investigating the added value of those initialized decadal predictions over ...
  • Synthetic seismicity distribution in Guerrero–Oaxaca subduction zone, Mexico, and its implications on the role of asperities in Gutenberg–Richter law 

    Monterrubio Velasco, Marisol; Zúñiga, F. Ramón; Rodríguez-Pérez, Quetzalcoat; Rojas, Otilio; Aguilar-Meléndez, Armando; Puente, Josep de la (Copernicus Publications, 2020)
    Article
    Open Access
    Seismicity and magnitude distributions are fundamental for seismic hazard analysis. The Mexican subduction margin along the Pacific Coast is one of the most active seismic zones in the world, which makes it an optimal ...
  • An intelligent iris based chronic kidney identification system 

    Muzamil, Sohail; Hussain, Tassadaq; Haider, Amna; Waraich, Umber; Ashiq, Umair; Ayguadé Parra, Eduard (2020-12-12)
    Article
    Open Access
    In recent years, the demand for alternative medical diagnostics of the human kidney or renal is growing, and some of the reasons behind this relate to its non-invasive, early, real-time, and pain-free mechanism. The chronic ...
  • BRASIL: A high-integrity GPGPU toolchain for automotive systems 

    Trompouki, Matina Maria; Kosmidis, Leonidas (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Conference report
    Open Access
    Embedded General Purpose Graphics Processing Units (GPGPUs) are increasingly used in automotive to enable Advanced Driving Assistance (ADAS) and Autonomous driving. However, their functional safety certification has been ...
  • An on-board algorithm implementation on an embedded GPU: A space case study 

    Rodríguez Ferrandez, Iván; Kosmidis, Leonidas; Notebaert, Olivier; Cazorla Almeida, Francisco Javier; Steenari, David (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Open Access
    On-board processing requirements of future space missions are constantly increasing, calling for new hardware than the traditional ones used in space. Embedded GPUs are an attractive candidate offering both high performance ...
  • An academic RISC-V silicon implementation based on open-source components 

    Abella Ferrer, Jaume; Bulla, Calvin; Cabo Pitarch, Guillem; Cazorla Almeida, Francisco Javier; Cristal Kestelman, Adrián; Doblas Font, Max; Figueras Bagué, Roger; González Trejo, Alberto; Hernández Luz, Carles; Hernández Calderón, César Alejandro; Jiménez Arador, Víctor; Kosmidis, Leonidas; Kostalabros, Ioannis-Vatistas; Langarita Benítez, Rubén; Leyva Santes, Neiel; López Paradís, Guillem; Marimon Illana, Joan; Martínez Martínez, Ricardo; Mendoza Escobar, Jonnatan; Moll Echeto, Francisco de Borja; Moreto Planas, Miquel; Pavón Rivera, Julián; Ramírez Lazo, Cristóbal; Ramírez Salinas, Marco Antonio; Rojas Morales, Carlos; Rubio Sola, Jose Antonio; Ruiz, Abraham Josafat; Sonmez, Nehir; Soria Pardos, Víctor; Teres Teres, Lluis; Unsal, Osman Sabri; Valero Cortés, Mateo; Vargas Valdivieso, Iván; Villa Vargas, Luis Alfonso (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Open Access
    The design presented in this paper, called preDRAC, is a RISC-V general purpose processor capable of booting Linux jointly developed by BSC, CIC-IPN, IMB-CNM (CSIC), and UPC. The preDRAC processor is the first RISC-V ...
  • Spatiotemporal variability in modeled bottom ice and sea surface dimethylsulfide concentrations and fluxes in the Arctic during 1979–2015 

    Hayashida, Hakase; Carnat, Gauthier; Gali Tapias, Martí; Monahan, Adam H.; Mortenson, Eric; Sou, Tessa; Steiner, Nadja S. (Wiley, 2020)
    Article
    Restricted access - publisher's policy
    Field observations suggest that oceanic emissions of dimethylsulfide (DMS) may play a dominant role in the production of Arctic aerosols and clouds and therefore modulate the surface irradiance, during spring and summer. ...
  • A data-centric directive-based framework to accelerate out-of-core stencil computation on a GPU 

    Shen, Jingcheng; Ino, Fumihiko; Farrés Coma, Albert; Hanzich, Mauricio (Institute of Electronics, Information and Communication Engineers, 2020-12-01)
    Article
    Open Access
    Graphics processing units (GPUs) are highly efficient architectures for parallel stencil code; however, the small device (i.e., GPU) memory capacity (several tens of GBs) necessitates the use of out-of-core computation to ...
  • Performance comparison of multi-container deployment schemes for HPC workloads: an empirical study 

    Liu, Peini; Guitart Fernández, Jordi (2020-11-30)
    Article
    Restricted access - publisher's policy
    The high-performance computing (HPC) community has recently started to use containerization to obtain fast, customized, portable, flexible, and reproducible deployments of their workloads. Previous work showed that deploying ...
  • Performance meets programmabilty: Enabling native Python MPI tasks in PyCOMPSs 

    Elshazly, Hatem Mohamed Abdelfattah Eid; Lordan Gomis, Francesc; Ejarque Artigas, Jorge; Badia Sala, Rosa Maria (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Open Access
    The increasing complexity of modern and future computing systems makes it challenging to develop applications that aim for maximum performance. Hybrid parallel programming models offer new ways to exploit the capabilities ...
  • A cross-layer review of deep learning frameworks to ease their optimization and reuse 

    Tabani, Hamid; Pujol Torramorell, Roger; Abella Ferrer, Jaume; Cazorla Almeida, Francisco Javier (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Open Access
    Machine learning and especially Deep Learning (DL) approaches are at the heart of many domains, from computer vision and speech processing to predicting trajectories in autonomous driving and data science. Those approaches ...
  • Towards data-flow parallelization for adaptive mesh refinement applications 

    Sala Penadés, Kevin; Rico Carro, Alejandro; Beltran Querol, Vicenç (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Open Access
    Adaptive Mesh Refinement (AMR) is a prevalent method used by distributed-memory simulation applications to adapt the accuracy of their solutions depending on the turbulent conditions in each of their domain regions. These ...

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