Now showing items 1-4 of 4

    • Block size estimation for data partitioning in HPC applications using machine learning techniques 

      Cantini, Riccardo; Marozzo, Fabrizio; Orsino, Alessio; Talia, Domenico; Trunfio, Paolo; Badia Sala, Rosa Maria; Ejarque Artigas, Jorge; Vázquez-Novoa, Fernando (Springer Nature, 2024-01-16)
      Article
      Open Access
      The extensive use of HPC infrastructures and frameworks for running data-intensive applications has led to a growing interest in data partitioning techniques and strategies. In fact, application performance can be heavily ...
    • Machine learning-based recovery of thermophysical information from velocity data in supercritical fluids turbulence 

      Masclans Serrat, Núria; Vázquez-Novoa, Fernando; Bernades, Marc; Badia Sala, Rosa Maria; Jofre Cruanyes, Lluís (European Research Community on Flow, Turbulence, and Conbustion (ERCOFTAC), 2023)
      Conference report
      Open Access
      Recent research has shown the possibility to achieve microconfined turbulence utilizing supercritical fluids under high-pressure transcritical conditions. This has generated increasing interest in the hybrid nature of the ...
    • Scalable random forest with data-parallel computing 

      Vázquez-Novoa, Fernando; Conejero Bañón, Francisco Javier; Tatu, Cristian; Badia Sala, Rosa Maria (Springer Cham, 2023)
      Conference report
      Restricted access - publisher's policy
      In the last years, there has been a significant increment in the quantity of data available and computational resources. This leads scientific and industry communities to pursue more accurate and efficient Machine Learning ...
    • Thermodynamics-informed neural network for recovering supercritical fluid thermophysical information from turbulent velocity data 

      Masclans Serrat, Núria; Vázquez-Novoa, Fernando; Bernades, Marc; Badia Sala, Rosa Maria; Jofre Cruanyes, Lluís (Elsevier, 2023-11)
      Article
      Open Access
      Recent research has highlighted the potential of supercritical fluids under high-pressure transcritical conditions to achieve microconfined turbulence as a result of the thermophysical properties they exhibit in the vicinity ...