Publicacións nas que colabora con Francisco Argüello Pedreira (12)

2002

  1. Multi-user receivers for spread spectrum communications based on chaotic sequences

    International Journal of Bifurcation and Chaos in Applied Sciences and Engineering, Vol. 12, Núm. 4, pp. 847-853

2001

  1. A data parallel formulation of the barnes-hut method for N−body simulations

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. A data-parallel formulation for divide and conquer algorithms

    Computer Journal, Vol. 44, Núm. 4, pp. 303-320

  3. Parallelization of a recursive decoupling method for solving tridiagonal linear systems on distributed memory computer

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

1999

  1. Algorithm for wavelet transform of Toeplitz matrices

    Electronics Letters, Vol. 35, Núm. 10, pp. 775-776

1998

  1. Mapping and scheduling of r-ary trees onto arrays and meshes

    PARALLEL COMPUTING: FUNDAMENTALS, APPLICATIONS AND NEW DIRECTIONS

  2. Mapping and scheduling of r-arys trees onto arrays and meshes

    Advances in Parallel Computing, pp. 719-722

1997

  1. A probabilistic model for best-first search B&B algorithms

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Mapping tridiagonal system algorithms onto mesh connected computers

    International Journal of High Speed Computing, Vol. 9, Núm. 2, pp. 101-126

1996

  1. FFTs on mesh connected computers

    Parallel Computing, Vol. 22, Núm. 1, pp. 19-38

  2. Vectorización de los algoritmos divide-y-vencerás

    Informática y automática: revista de la Asociación Española de Informática y Automática, Vol. 29, Núm. 3, pp. 28-37

1994

  1. Vectorization of the radix r self-sorting FFT

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)