We describe a parallel algorithm for finding the fill that occurs when a sparse symmetric positive definite matrix A is factored into its Cholesky factor L. The algorithm is in two steps: First we determine the elimination forest F for A. Then from F and A we compute the fill. The algorithm takes $O(\log^{2} n)$ time, using $m + n$ processors to find the elimination forest and $m^{*}+ n$ processors to find the fill
[[abstract]]The height of the elimination tree has long acted as the only criterion in deriving a su...
This thesis presents a parallel algorithm for the direct LU factorization of general unsymmetric spa...
We describe an efficient parallel implementation of the selected inversion algorithm for distributed...
We describe a parallel algorithm for finding the Cholesky factorization of a sparse symmetric posit...
We develop an algorithm for computing the symbolic and numeric Cholesky factorization of a large sp...
As sequential computers seem to be approaching their limits in CPU speed there is increasing intere...
Systems of linear equations of the form $Ax = b,$ where $A$ is a large sparse symmetric positive de...
AbstractThis paper gives improved parallel methods for several exact factorizations of some classes ...
We present an overview of parallel direct methods for solving sparse systems of linear equations, fo...
In Part I of this this paper, we proposed a new parallel bidirectional algorithm, based on Cholesky...
Recent advances in linear programming solution methodology have focused on interior point algorithms...
AbstractPartitioning a sparse matrix A is a useful device employed by a number of sparse matrix tech...
[[abstract]]In the direct solution of sparse symmetric and positive definite linear systems, finding...
A few parallel algorithms for solving triangular systems resulting from parallel factorization of sp...
A parallel algorithm for the calculation of the p leftmost eigenpairs of large, sparse F.E.M. matric...
[[abstract]]The height of the elimination tree has long acted as the only criterion in deriving a su...
This thesis presents a parallel algorithm for the direct LU factorization of general unsymmetric spa...
We describe an efficient parallel implementation of the selected inversion algorithm for distributed...
We describe a parallel algorithm for finding the Cholesky factorization of a sparse symmetric posit...
We develop an algorithm for computing the symbolic and numeric Cholesky factorization of a large sp...
As sequential computers seem to be approaching their limits in CPU speed there is increasing intere...
Systems of linear equations of the form $Ax = b,$ where $A$ is a large sparse symmetric positive de...
AbstractThis paper gives improved parallel methods for several exact factorizations of some classes ...
We present an overview of parallel direct methods for solving sparse systems of linear equations, fo...
In Part I of this this paper, we proposed a new parallel bidirectional algorithm, based on Cholesky...
Recent advances in linear programming solution methodology have focused on interior point algorithms...
AbstractPartitioning a sparse matrix A is a useful device employed by a number of sparse matrix tech...
[[abstract]]In the direct solution of sparse symmetric and positive definite linear systems, finding...
A few parallel algorithms for solving triangular systems resulting from parallel factorization of sp...
A parallel algorithm for the calculation of the p leftmost eigenpairs of large, sparse F.E.M. matric...
[[abstract]]The height of the elimination tree has long acted as the only criterion in deriving a su...
This thesis presents a parallel algorithm for the direct LU factorization of general unsymmetric spa...
We describe an efficient parallel implementation of the selected inversion algorithm for distributed...