Mostrando ítems 31-35 de 190

    • 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 ...
    • ParBiBit: Parallel tool for binary biclustering on modern distributed-memory systems 

      González-Domínguez, Jorge; Expósito, Roberto R. (PLoS, 2018)
      [Abstract]: Biclustering techniques are gaining attention in the analysis of large-scale datasets as they identify two-dimensional submatrices where both rows and columns are correlated. In this work we present ParBiBit, ...
    • Efficient high-precision integer multiplication on the GPU 

      Pérez Diéguez, Adrián; Amor, Margarita; Doallo, Ramón; Nukada, Akira; Matsuoka, Satoshi (SAGE Journals, 2022-03)
      [Abstract]: The multiplication of large integers, which has many applications in computer science, is an operation that can be expressed as a polynomial multiplication followed by a carry normalization. This work develops ...
    • Optimizing parcel exchange among landowners: A soft alternative to land consolidation 

      Teijeiro, Diego; Corbelle-Rico, Eduardo; Porta, Juan; Parapar López, Jorge; Doallo, Ramón (Elsevier, 2020-01)
      [Abstract]: For decades, public policy has favored the use of land consolidation to reduce the fragmentation of land ownership. Private actors, on the other hand, have focused on the purchase, rental and exchange of land ...
    • parSRA: A framework for the parallel execution of short read aligners on compute clusters 

      González-Domínguez, Jorge; Hundt, Christian; Schmidt, Bertil (2018)
      [Abstract]: The growth of next generation sequencing datasets poses as a challenge to the alignment of reads to reference genomes in terms of both accuracy and speed. In this work we present parSRA, a parallel framework ...