Doctorat en Bioinformàtica

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Recent Submissions

  • AutoParallel: Automatic parallelisation and distributed execution of affine loop nests in Python 

    Ramón Cortés, Cristian; Amela Milian, Ramon; Ejarque Artigas, Jorge; Clauss, Philippe; Badia Sala, Rosa Maria (Sage, 2020)
    Article
    Open Access
    The last improvements in programming languages and models have focused on simplicity and abstraction; leading Python to the top of the list of the programming languages. However, there is still room for improvement when ...

  • Efficient development of high performance data analytics in Python 

    Álvarez Cid-Fuentes, Javier; Alvarez, Pol; Amela Milian, Ramon; Ishii, Kuninori; Morizawa, Rafael K.; Badia Sala, Rosa Maria (Elsevier, 2019-10-04)
    Article
    Open Access
    Our society is generating an increasing amount of data at an unprecedented scale, variety, and speed. This also applies to numerous research areas, such as genomics, high energy physics, and astronomy, for which large-scale ...

  • 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 ...

  • Enabling Python to execute efficiently in heterogeneous distributed infrastructures with PyCOMPSs 

    Amela Milian, Ramon; Ramón Cortés, Cristian; Ejarque, Jorge; Conejero Bañón, Javier; Badia Sala, Rosa Maria (Association for Computing Machinery (ACM), 2017-11)
    Conference lecture
    Open Access
    Python has been adopted as programming language by a large number of scientific communities. Additionally to the easy programming interface, the large number of libraries and modules that have been made available by a large ...