A Columnwise Block Striping in Neville Elimination

  • Pedro Alonso
  • Raquel Cortina
  • Irene Díaz
  • Vicente Hernández
  • José Ranilla
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2328)


This paper presents a parallel algorithm to solve linear equation systems. This method, known as Neville elimination, is appropriate especially for the case of totally positive matrices (all its minors are non-negative). We discuss one common way to partition coefficient matrix among processors. In our mapping, called columwise block-cyclic-striped mapping, the matrix is divided into blocks of complete columns and these blocks are distributed among the processors in a cyclic way. The theoretic asymptotic estimation assures the speed-up to be k (being k the processor number); so the efficiency can take the value 1. Furthermore, in order to study the performance of the algorithm over a real machine (IBM SP2), some constants have been estimated. If such constants take these experimental values, then theoretic results are confirmed.


Gaussian Elimination Communication Time Total Positivity Positive Matrice Linear Equation System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Pedro Alonso
    • 1
  • Raquel Cortina
    • 2
  • Irene Díaz
    • 3
  • Vicente Hernández
    • 4
  • José Ranilla
    • 2
  1. 1.Departamento de MatemáticasUniversidad de OviedoGijónSpain
  2. 2.Centro de Inteligencia ArtificialUniversidad de OviedoGijónSpain
  3. 3.Departamento de InformáticaUniversidad de OviedoGijónSpain
  4. 4.Departamento de Sistemas Informáticos y ComputaciónUniversidad Politécnica de ValenciaValenciaSpain

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