• Accelerating binary biclustering on platforms with CUDA-enabled GPUs 

      González-Domínguez, Jorge; Expósito, Roberto R. (Elsevier Ltd, 2018)
      [Abstract]: Data mining is nowadays essential in many scientific fields to extract valuable information from large input datasets and transform it into an understandable structure. For instance, biclustering techniques are ...
    • bioScience: A new python science library for high-performance computing bioinformatics analytics 

      López-Fernández, Aurelio; Gómez-Vela, Francisco A.; González-Domínguez, Jorge; Bidare-Divakarachari, Parameshachari (Elsevier Ltd, 2024)
      [Abstract]: BioScience is an advanced Python library designed to satisfy the growing data analysis needs in the field of bioinformatics by leveraging High-Performance Computing (HPC). This library encompasses a vast multitude ...
    • Optimization of Real-World MapReduce Applications With Flame-MR: Practical Use Cases 

      Veiga, Jorge; Expósito, Roberto R.; Raffin, Bruno; Touriño, Juan (Institute of Electrical and Electronics Engineers, 2018-11-12)
      [Abstract] Apache Hadoop is a widely used MapReduce framework for storing and processing large amounts of data. However, it presents some performance issues that hinder its utilization in many practical use cases. Although ...