Now showing items 1-20 of 2301

    • 11th EGU Galileo Conference: Solid Earth and Geohazards in the Exascale Era Consensual Document 

      Folch, Arnau; Bhihe, Cedric; Caviedes-Vouillième, Daniel; de la Puente, Josep; Esposti Ongaro, Tomaso; Monterrubio, Marisol (2023)
      Working paper
      Open Access
      The 11th Galileo Conference of the European Geosciences Union (EGU) focused on "Solid Earth and Geohazards in the Exascale Era." This abstract presents the main outcomes and conclusions from the conference breakout sessions, ...
    • 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 ...
    • 3Dmapper: a command line tool for BioBank-scale mapping of variants to protein structures 

      Ruiz Serra, Victoria; Valentini, Samuel; Madroñero, Sergi; Valencia, Alfonso; Porta Pardo, Eduard (Oxford University Press [, 2024)
      Article
      Open Access
      Motivation The interpretation of genomic data is crucial to understand the molecular mechanisms of biological processes. Protein structures play a vital role in facilitating this interpretation by providing functional ...
    • A Bayesian modelling framework to quantify multiple sources of spatial variation for disease mapping 

      Lee, Sophie A.; Economou, Theodoros; Lowe, Rachel (The Royal Society, 2022-09)
      Article
      Open Access
      Spatial connectivity is an important consideration when modelling infectious disease data across a geographical region. Connectivity can arise for many reasons, including shared characteristics between regions and human ...
    • A BF16 FMA is all you need for DNN training 

      Osorio Ríos, John Haiber; Armejach Sanosa, Adrià; Petit, Eric; Henry, Greg; Casas, Marc (Institute of Electrical and Electronics Engineers (IEEE), 2022-07-01)
      Article
      Open Access
      Fused Multiply-Add (FMA) functional units constitute a fundamental hardware component to train Deep Neural Networks (DNNs). Its silicon area grows quadratically with the mantissa bit count of the computer number format, ...
    • 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 closer look at referring expressions for video object segmentation 

      Bellver Bueno, Míriam; Ventura Royo, Carles; Silberer, Carina; Kazakos, Ioannis; Torres Viñals, Jordi; Giró Nieto, Xavier (2023-01)
      Article
      Open Access
      The task of Language-guided Video Object Segmentation (LVOS) aims at generating binary masks for an object referred by a linguistic expression. When this expression unambiguously describes an object in the scene, it is ...
    • 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 computationally efficient approach for soot modeling with discrete sectional method and FGM chemistry 

      Kalbhor, Abhijit; Mira Martínez, Daniel; van Oijen, Jeroen (Elsevier, 2023)
      Article
      Open Access
      A novel approach for the prediction of soot formation in combustion simulations within the framework of discrete sectional method (DSM) based univariate soot model and Flamelet Generated Manifold (FGM) chemistry, referred ...
    • 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 confusion matrix for evaluating feature attribution methods 

      Arias Duart, Anna; Mariotti, Ettore; Garcia Gasulla, Dario; Alonso Moral, Jose Maria (Institute of Electrical and Electronics Engineers (IEEE), 2023)
      Conference lecture
      Open Access
      The increasing use of deep learning models in critical areas of computer vision and the consequent need for insights into model behaviour have led to the development of numerous feature attribution methods. However, these ...