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    • MScheduler: leveraging spot instances for high-performance reservoir simulation in the cloud 

      Albuquerque Portella, Felipe; Estrela, Paulo J.B.; Malini, Renzo Q.; Teylo, Luan; Berral García, Josep Lluís; Drummond, Lúcia M.A. (Institute of Electrical and Electronics Engineers (IEEE), 2023)
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      Accés obert
      Petroleum reservoir simulation uses computer models to predict fluid flow in porous media, aiding to forecast oil production. Engineers execute numerous simulations with different geological realizations to refine the ...

    • TunaOil: A tuning algorithm strategy for reservoir simulation workloads 

      Albuquerque Portella, Felipe; Buchaca Prats, David; Rodrigues, José Roberto; Berral García, Josep Lluís (Elsevier, 2022-09)
      Article
      Accés restringit per política de l'editorial
      Reservoir simulations for petroleum fields and seismic imaging are known as the most demanding workloads for high-performance computing (HPC) in the oil and gas (O&G) industry. The optimization of the simulator numerical ...

    • You only run once: Spark auto-tuning from a single run 

      Buchaca Prats, David; Albuquerque Portella, Felipe; Costa, Carlos H. A.; Berral García, Josep Lluís (2020-12)
      Article
      Accés obert
      Tuning configurations of Spark jobs is not a trivial task. State-of-the-art auto-tuning systems are based on iteratively running workloads with different configurations. During the optimization process, the relevant features ...