Now showing items 1-8 of 8

    • Accelerating hyperparameter optimisation with PyCOMPSs 

      Njoroge Kahira, Albert; Bautista Gomez, Leonardo; Conejero, Javier; Badia Sala, Rosa Maria (Association for Computing Machinery (ACM), 2019)
      Conference report
      Open Access
      Machine Learning applications now span across multiple domains due to the increase in computational power of modern systems. There has been a recent surge in Machine Learning applications in High Performance Computing (HPC) ...
    • COMP Superscalar, an interoperable programming framework 

      Badia Sala, Rosa Maria; Conejero, Javier; Díaz, Carlos; Ejarque, Jorge; Lezzi, Daniele; Lordan Gomis, Francesc-Josep; Ramón Cortés, Cristian; Sirvent Pardell, Raül (2015-12-01)
      Article
      Open Access
      COMPSs is a programming framework that aims to facilitate the parallelization of existing applications written in Java, C/C++ and Python scripts. For that purpose, it offers a simple programming model based on sequential ...
    • Efficient and versatile data analytics for deep networks 

      Garcia Gasulla, Dario; Moreno Vázquez, Jonatan; Espinosa-Oviedo, Javier A.; Conejero, Javier; Vargas-Solar, Genoveva; Badia Sala, Rosa Maria; Cortés García, Claudio Ulises; Suzumura, Toyotaro (Barcelona Supercomputing Center, 2015-05-05)
      Conference report
      Open Access
      Deep networks (DN) perform cognitive tasks related with image and text at human-level. To extract and exploit the knowledge coded within these networks we propose a framework which combines state-of-the-art technology in ...
    • Executing linear algebra kernels in heterogeneous distributed infrastructures with PyCOMPSs 

      Amela Milian, Ramon; Ramon-cortés Vilarrodona, Cristian; Ejarque, Jorge; Conejero, Javier; Badia Sala, Rosa Maria (EDP Open, 2018-10-24)
      Article
      Open Access
      Python is a popular programming language due to the simplicity of its syntax, while still achieving a good performance even being an interpreted language. The adoption from multiple scientific communities has evolved in ...
    • Managing failures in task-based parallel workflows in distributed computing environments 

      Ejarque, Jorge; Bertran, Marta; Álvarez Cid-Fuentes, Javier; Conejero, Javier; Badia Sala, Rosa Maria (Springer, Cham, 2020)
      Part of book or chapter of book
      Open Access
      Current scientific workflows are large and complex. They normally perform thousands of simulations whose results combined with searching and data analytics algorithms, in order to infer new knowledge, generate a very large ...
    • RosneT: a block tensor algebra library for out-of-core quantum computing simulation 

      Sanchez-Ramirez, Sergio; Conejero, Javier; Garcia-Saez, Artur (Barcelona Supercomputing Center, 2022-05)
      Conference report
      Open Access
      With recent Quantum Devices showing increasing capabilities to perform controlled operations, further development on Quantum Algorithms may benefit from Quantum Simulations on classical hardware. Among important applications ...
    • Task-based programming in COMPSs to converge from HPC to big data 

      Conejero, Javier; Corella, Sandra; Badia Sala, Rosa Maria; Labarta Mancho, Jesús José (2017-04-06)
      Article
      Open Access
      Task-based programming has proven to be a suitable model for high-performance computing (HPC) applications. Different implementations have been good demonstrators of this fact and have promoted the acceptance of task-based ...
    • VGrid: una infraestructura grid virtual con fines educacionales 

      Conejero, Javier; Tomás, Luis; Caminero, Blanca; Carrión, Carmen (Universidad de Castilla-La Mancha, 2012-07-10)
      Conference lecture
      Open Access
      La computación Grid es una tecnología enfocada a compartir recursos heterogéneos a gran escala. Sin embargo, su alto coste de implantación, así como la elevada experiencia necesaria para su mantenimiento, la hacen ...