Now showing items 1-20 of 1745

    • 3D Elastic Full Waveform Inversion - On Land Study case 

      Kormann, Jean; Marti, David; Rodríguez, Juan E.; Marzan, Ignacio; Gutiérrez, Natalia; Ferrer, Miguel; Hanzich, Mauricio; de la Puente, Josep; Carbonell, Ramon; Cela, Jose M.; Fernández, S. (European Association of Geoscientists and Engineers, 2016-05-31)
      Conference report
      Open Access
      Full Waveform Inversion is one of the most advanced processing methods that is recently reaching a mature state after years of solving theoretical and technical issues such as the non-uniqueness of the solution and harnessing ...
    • 3D magnetotelluric modeling using high-order tetrahedral Nédélec elements on massively parallel computing platforms 

      Castillo Reyes, Octavio; Modesto Galende, David; Queralt Capdevila, Pilar; Marcuello Pascual, Alex; Ledo Fernández, Juan José; Amor Martín, Adrián; de la Puente, Josep; García-Castillo, Luis Emilio (2022-03)
      Article
      Open Access
      We present a routine for 3D magnetotelluric (MT) modeling based upon high-order edge finite element method (HEFEM), tailored and unstructured tetrahedral meshes, and high-performance computing (HPC). This imple- mentation ...
    • 3D Simulations of Deep Directional Electromagnetic Tools in High-angle and Horizontal Wells 

      Puzyrev, Vladimir; Torres-Verdin, Carlos (2016-05-31)
      Conference lecture
      Open Access
      A new generation of deep directional electromagnetic imaging tools is being adopted by the industry to enhance the efficiency of well placement, reduce drilling risk and increase production potential. Schlumberger's GeoSphere ...
    • 3D Viscoelastic Anisotropic Seismic Modeling with High-Order Mimetic Finite Differences 

      Ferrer, Miguel; de la Puente, Josep; Farrés, Albert; Castillo, José E. (Springer, 2015)
      Part of book or chapter of book
      Open Access
      We present a scheme to solve three-dimensional viscoelastic anisotropic wave propagation on structured staggered grids. The scheme uses a fully-staggered grid (FSG) or Lebedev grid (Lebedev, J Sov Comput Math Math Phys ...
    • A case study of hybrid dataflow and shared-memory programming models: Dependency-based parallel game engine 

      Gajinov, Vladimir; Eric, Igor; Stojanovic, Saa; Milutinovic, Veljko; Unsal, Osman Sabri; Ayguadé Parra, Eduard; Cristal Kestelman, Adrián (Institute of Electrical and Electronics Engineers (IEEE), 2014)
      Conference report
      Restricted access - publisher's policy
      Recently proposed hybrid dataflow and shared memory programming models combine these two underlying models in order to support a wider range of problems naturally. The effectiveness of such hybrid models for parallel ...
    • A catalogue of 863 Rett-syndrome-causing MECP2 mutations and lessons learned from data integration 

      Ehrhart, Friederike; Jacobsen, Annika; Rigau, Maria; Bosio, Mattia; Kaliyaperumal, Rajaram; Laros, Jeroen F. J.; Willighagen, Egon L.; Valencia, Alfonso; Roos, Marco; Capella Gutiérrez, Salvador; Curfs, Leopold M. G.; Evelo, Chris T. (Springer Nature, 2021)
      Article
      Open Access
      Rett syndrome (RTT) is a rare neurological disorder mostly caused by a genetic variation in MECP2. Making new MECP2 variants and the related phenotypes available provides data for better understanding of disease mechanisms ...
    • A CFD framework for offshore and onshore wind farm simulation 

      Avila, Matias; Gargallo-Peiró, Abel; Folch, Arnau (IOP Publishing, 2017)
      Article
      Open Access
      We present a wind simulation framework for offshore and onshore wind farms. The simulation framework involves an automatic hybrid high-quality mesh generation process, a pre-processing to impose initial and boundary ...
    • A checkpoint/restart directive-based approach 

      Maroñas Bravo, Marcos (Universitat Politècnica de Catalunya, 2017)
      Master thesis
      Open Access
      Covenantee:   Barcelona Supercomputing Center
      Exascale platforms require programming models incorporating support for resilience capabilities since the huge number of components they are expected to have is going to increase the number of errors. Checkpoint/restart ...
    • A Chimera method for the incompressible Navier-Stokes equations 

      Houzeaux, Guillaume; Eguzkitza, Beatriz; Aubry, Romain; Owen, Herbert; Vázquez, Mariano (John Wiley & Sons, 2014-05-30)
      Article
      Open Access
      The Chimera method was developed three decades ago as a meshing simplification tool. Different components are meshed independently and then glued together using a domain decomposition technique to couple the equations ...
    • A city of cities: Measuring how 15-minutes urban accessibility shapes human mobility in Barcelona 

      Graells Garrido, Eduardo; Serra Burriel, Feliu; Rowe, Francisco; Cucchietti, Fernando; Reyes Valenzuela, Patricio Alejandro (Public Library of Science (PLOS), 2021-05-05)
      Article
      Open Access
      As cities expand, human mobility has become a central focus of urban planning and policy making to make cities more inclusive and sustainable. Initiatives such as the “15-minutes city” have been put in place to shift the ...
    • A community roadmap for scientific workflows research and development 

      Ferreira da Silva, Rafael; Casanova, Henri; Chard, Kyle; Altintas, Ilkay; Badia Sala, Rosa Maria; Balis, Bartosz; Coleman, Tainã; Coppens, Frederik; Di Natale, Frank; Enders, Bjoern (Institute of Electrical and Electronics Engineers (IEEE), 2021)
      Conference report
      Restricted access - publisher's policy
      The landscape of workflow systems for scientific applications is notoriously convoluted with hundreds of seemingly equivalent workflow systems, many isolated research claims, and a steep learning curve. To address some of ...
    • A comparison of the spatial heterogeneities of surface fluxes simulated by INLAND model with observations at a valley and a nearby plateau stations in Central Amazon Forest 

      Broedel, Elisângela; von Randow, Celso; Cuartas, Luz Adriana; Satyamurty, Prakki; Cândido, Luiz Antônio; Tomasella, Javier; de Araújo, Alessandro Carioca; Nobre, Antônio Donato; Tourigny, Etienne (Springer, 2022-05)
      Article
      Open Access
      An improved version of the Integrated Land Surface Model (INLAND), incorporating the physical, ecological and hydrological parameters and processes pertaining to two subclasses of tropical forest in the central Amazon ...
    • A confidence assessment of WCET estimates for software time randomized caches 

      Benedicte Illescas, Pedro; Kosmidis, Leonidas; Quiñones, Eduardo; Abella Ferrer, Jaume; Cazorla Almeida, Francisco Javier (Institute of Electrical and Electronics Engineers (IEEE), 2016)
      Conference report
      Open Access
      Obtaining Worst-Case Execution Time (WCET) estimates is a required step in real-time embedded systems during software verification. Measurement-Based Probabilistic Timing Analysis (MBPTA) aims at obtaining WCET estimates ...
    • A constellation of horrors: analysis and visualization of the #Cuéntalo movement 

      Bucalo Mana, María Soledad; Calvo, Luz; Cucchietti, Fernando; García Povedano, David; García Sáez, Artur; Gómez Celis, Juan Felipe; Arcadio González, Camilo; Marín, Guillermo; Reyes, Patricio; Serra Burriel, Feliu; Vélez García, Diana Fernanda; Meta, Irene (Association for Computing Machinery (ACM), 2019)
      Conference report
      Open Access
      In this work, we analyze content and structure of the Twitter trending topic #cuentalo with the purpose of providing a visualization of the movement. A supervised learning methodology is used to train the classifying ...
    • A cost-efficient QoS-aware analytical model of future software content delivery networks 

      Otero Calviño, Beatriz; Rodríguez Luna, Eva; Rojas, Otilio; Verdú Mulà, Javier; Costa Prats, Juan José; Pajuelo González, Manuel Alejandro; Canal Corretger, Ramon (2021-07)
      Article
      Open Access
      Freelance, part-time, work-at-home, and other flexible jobs are changing the concept of workplace, and bringing information and content exchange problems to companies. Geographically spread corporations may use remote ...
    • A coupled macroscopic traffic and pollutant emission modelling system for Barcelona 

      Rodríguez Rey, Daniel; Guevara Vilardell, Marc; Linares Herreros, María Paz; Casanovas Garcia, Josep; Salmeron Moya, Juan; Soret Miravet, Albert; Jorba Casellas, Oriol; Tena Medina, Carles; Pérez García-Pando, Carlos (2021-03)
      Article
      Open Access
      We present a coupled macroscopic traffic and emission modelling system tailored to the Barcelona metropolitan area that allows estimating hourly road transport emissions at road link level. We use the developed system to ...
    • 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 ...
    • A Data Set for intercomparing the transient behavior of dynamical model-based subseasonal to decadal climate predictions 

      Saurral, Ramiro I.; Merryfield, William J.; Tolstykh, Mikhail A.; Lee, Woo-Sung; Doblas-Reyes, Francisco; García Serrano, Javier; Massonnet, François; Meehl, Gerald A.; Teng, Haiyan (American Geophysical Union, 2021)
      Article
      Open Access
      Climate predictions using coupled models in different time scales, from intraseasonal to decadal, are usually affected by initial shocks, drifts, and biases, which reduce the prediction skill. These arise from inconsistencies ...
    • 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 ...
    • A data-driven wall-shear stress model for LES using gradient boosted decision trees 

      Radhakrishnan, Sarath; Adu Gyamfi, Lawrence; Miró Jané, Arnau; Font García, Bernat; Calafell Sandiumenge, Joan; Lehmkuhl Barba, Oriol (Springer Nature, 2021)
      Conference report
      Open Access
      With the recent advances in machine learning, data-driven strategies could augment wall modeling in large eddy simulation (LES). In this work, a wall model based on gradient boosted decision trees is presented. The model ...