BIB-VERSION:: CS-TR-v2.0
          ID:: STAN//NA-M-92-10
       ENTRY:: January 28, 1996
ORGANIZATION:: Stanford University, Department of Computer Science, Numerical
               Analysis Project
       TITLE:: A parallel row-oriented sparse solution method for finite
               element structural analysis
        TYPE:: Manuscript
      AUTHOR:: Law, Kincho H.
      AUTHOR:: Mackay, David R.
        DATE:: August 1992
       PAGES:: 54
    ABSTRACT:: This paper describes a parallel implementation of $LDL^T$
               factorization on a distributed memory parallel computer.
               Specifically, the parallel $LDL^T$ factorization procedure is
               based on a row-oriented sparse storage scheme. In addition, a
               strategy is proposed for the parallel solution of triangular
               systems of equations. The strategy is to compute the inverses
               of the dense principal diagonal block submatrices of the
               factor $L$, stored in a row-oriented structure. Experimental
               results for a number of finite element models are presented
               to illustrate the effectiveness of the parallel solution
               schemes.
       NOTES:: [Adminitrivia V1/Prg/19960128]
         END:: STAN//NA-M-92-10