Now showing items 21-29 of 29

    • openAccess   Restructuring the Tridiagonal and Bidiagonal QR Algorithms for Performance 

      Van Zee, Field G.; Van de Geijn, Robert A.; Quintana-Ortí, Gregorio ACM Digital Library (2014-04)
      We show how both the tridiagonal and bidiagonal QR algorithms can be restructured so that they be- come rich in operations that can achieve near-peak performance on a modern processor. The key is a novel, cache-friendly ...
    • closedAccess   Scheduling algorithms-by-blocks on small clusters 

      Igual, Francisco; Quintana-Ortí, Gregorio; Van de Geijn, Robert A. Wiley (2012-03-28)
      The arrival of multicore architectures has generated an interest in reformulating dense matrix computations as algorithms-by-blocks, where submatrices are units of data and computations with those blocks are units of ...
    • openAccess   Solving “Large” Dense Matrix Problems on Multi-Core Processors and GPUs 

      Marqués-Andrés, Mercedes; Quintana-Ortí, Gregorio; Quintana-Orti, Enrique S.; Van de Geijn, Robert A. Departament d' Enginyeria i Ciència dels Computadors, Universitat Jaume I (2009-01)
      Few realize that, for large matrices, many dense matrix computations achieve nearly the same performance when the matrices are stored on disk as when they are stored in a very large main memory. Similarly, few realize ...
    • openAccess   Students’ Perception of the Effect of Formative Assessment on Their Learning 

      Marqués-Andrés, Mercedes; Badía, José; Quintana-Ortí, Gregorio Institute of Electrical and Electronics Engineers (2021-08)
      In this paper, we analyse students’ perception of their formative assessment in a Databases course. Two forms of feedback are analysed: interactive questionnaires during class time and self-assessment of lab practices. ...
    • closedAccess   The FLAME approach: From dense linear algebra algorithms to high-performance multi-accelerator implementations 

      Igual, Francisco; Chan, Ernie; Quintana-Orti, Enrique S.; Quintana-Ortí, Gregorio; Van de Geijn, Robert A. Elsevier (2012)
      Parallel accelerators are playing an increasingly important role in scientific computing. However, it is perceived that their weakness nowadays is their reduced “programmability” in comparison with traditional general-purpose ...
    • openAccess   The libflame library for dense matrix computations 

      Van Zee, Field G.; Chan, Ernie; Van de Geijn, Robert A.; Quintana-Ortí, Gregorio; Quintana-Orti, Enrique S. IEEE Computer Society (2009-11)
      Researchers from the Formal Linear Algebra Method Environment (Flame) project have developed new methodologies for analyzing, designing, and implementing linear algebra libraries. These solutions, which have culminated in ...
    • closedAccess   Toward the parallelization of GSL 

      Aliaga Estellés, José Ignacio; Almeida, Francisco; Badía, José; Barrachina Mir, Sergio; Blanco, Vicente; Castillo Catalán, María Isabel; Mayo, Rafael; Quintana-Orti, Enrique S.; Quintana-Ortí, Gregorio; Remón Gómez, Alfredo; Rodríguez, Casiano; De Sande, Francisco; Santos, Adrián Springer-Verlag (2009)
      In this paper, we present our joint efforts to design and develop parallel implementations of the GNU Scientific Library for a wide variety of parallel platforms. The multilevel software architecture proposed provides ...
    • openAccess   Towards an Efficient Use of the BLAS Library for Multilinear Tensor Contractions 

      Di Napoli, Edoardo; Fabregat Traver, Diego; Quintana-Ortí, Gregorio; Bientinesi, Paolo Aachen University (2014)
      Mathematical operators whose transformation rules constitute the building blocks of a multi-linear algebra are widely used in physics and engineering applications where they are very often represented as tensors. In the ...
    • closedAccess   Using desktop computers to solve large-scale dense linear algebra problems 

      Quintana-Orti, Enrique S.; Marqués-Andrés, Mercedes; Quintana-Ortí, Gregorio; Van de Geijn, Robert A. Springer Science+Business Media (2011-11)
      We provide experimental evidence that current desktop computers feature enough computational power to solve large-scale dense linear algebra problems. While the high computational cost of the numerical methods for solving ...