Listar Departament: Enginyeria Mecànica i Construcció por autoría "c9eb087c-af13-4478-967b-efe6585fdd2e"

Mostrando ítems 1-9 de 9

    • openAccess   A Distributed Mesh Generation Study Case through a Customizable Platform as a Service Framework 

      Costa-Majó, Francesc; Barreda-Juan, Paloma; Iserte, Sergio SciTePress (2021)
      The quality of a mesh can determine the accuracy of a Computational Fluid Dynamics (CFD) simulation. In fact, meshing is not only a user highly time-consuming endeavor but also demands a lot of computational power. The ...

    • openAccess   Accelerating urban scale simulations leveraging local spatial 3D structure 

      Iserte, Sergio; Macias, Aina; Martínez-Cuenca, Raúl; chiva, sergio; Paredes, Roberto; Quintana-Orti, Enrique S. Elsevier (2022-06-15)
      This paper presents a hybrid methodology for accelerating Computational Fluid Dynamics (CFD) simulations intertwining inferences from deep neural networks (DNN). The strategy leverages the local spatial data of the velocity ...

    • openAccess   DMR API: Improving cluster productivity by turning applications into malleable 

      Iserte, Sergio; Mayo, Rafael; Quintana-Orti, Enrique S.; Beltrán, Vicenç; Peña Monferrer, Antonio J. Elsevier (2018)
      Adaptive workloads can change on–the–fly the configuration of their jobs, in terms of number of processes. To carry out these job reconfigurations, we have designed a methodology which enables a job to communicate with ...

    • openAccess   DMRlib: Easy-coding and Efficient Resource Management for Job Malleability 

      Iserte, Sergio; Mayo, Rafael; Quintana-Orti, Enrique S.; Pena, Antonio J. IEEE (2020-09-09)
      Process malleability has proved to have a highly positive impact on the resource utilization and global productivity in data centers compared with the conventional static resource allocation policy. However, the non-negligible ...

    • openAccess   Leveraging teaching on demand: Approaching HPC to undergrads 

      Catalán, Sandra; Carratalá-Sáez, Rocío; Iserte, Sergio Elsevier (2021-06-16)
      High Performance Computing (HPC) is a highly demanded discipline in companies and institutions. However, as students and also afterwards as professors, we observed a lack of HPC related content in the engineering degrees ...

    • closedAccess   Malleability Implementation in a MPI Iterative Method 

      Martín Álvarez, Iker; Aliaga Estellés, José Ignacio; Castillo Catalán, María Isabel; Mayo, Rafael; Iserte, Sergio IEEE (2021-09)
      In this poster is evaluated the data redistribution stage for two malleable versions of the Conjugate Gradient. One version is based on synchronous communications, while the other one uses asynchronous communications to ...

    • openAccess   Modeling of wastewater treatment processes with hydrosludge 

      Iserte, Sergio; Carratalà Mezquita, Pablo; Arnau Notari, Rosario; Martinez Cuenca, Raul; Barreda-Juan, Paloma; Basiero, Luís; Climent, Javier; chiva, sergio Wiley (2021-11-09)
      The pressure for Water Resource Recovery Facilities (WRRF) operators to efficiently treat wastewater is greater than ever because of the water crisis, produced by the climate change effects and more restrictive regulations. ...

    • openAccess   On the use of deep learning and computational fluid dynamics for the estimation of uniform momentum source components of propellers 

      Martinez Cuenca, Raul; Luis Gómez, Jaume; Iserte, Sergio; chiva, sergio Cell Press (2023-12)
      This article proposes a novel method based on Deep Learning for the resolution of uniform momentum source terms in the Reynolds-Averaged Navier-Stokes equations. These source terms can represent several industrial devices ...

    • closedAccess   Optimizing throughput of Seq2Seq model training on the IPU platform for AI-accelerated CFD simulations 

      Rościszewski, Paweł; Krzywaniak, Adam; Iserte, Sergio; Rojek, Krzysztof; Gepner, Pawel Elsevier (2023)
      Intelligence Processing Units (IPU) have proven useful for many AI applications. In this paper, we evaluate them within the emerging field of AI for simulation, where traditional numerical simulations are supported by ...