AbstractThe refinement calculus and the action system formalism are combined to provide a uniform method for constructing parallel and distributed algorithms by stepwise refinement. It is shown that the sequencial refinement calculus can be used as such for most of the derivation steps. Parallelism is introduced during the derivation by refinement of atomicity. The approach is applied to the derivation of a parallel version of the Gaussian elimination method for solving simultaneous linear equation systems
. Iterative methods for the solution of linear systems on parallel computer architectures are prese...
An abstract view of symmetric gaussian elimination is presented. Problems are viewed as an assembly ...
AbstractWe propose several implementations of Gaussian elimination for solving banded linear systems...
AbstractThe refinement calculus and the action system formalism are combined to provide a uniform me...
We show how to apply the refinement calculus to stepwise refinement of parallel and reactive program...
A standard multiplication algorithm for square matrices is transformed into a distributed algorithm....
AbstractIn this paper, a variant of Gaussian Elimination (GE) called Successive Gaussian Elimination...
This paper provides an introduction to algorithms for fundamental linear algebra problems on various...
AbstractThe solution of linear systems continues to play an important role in scientific computing. ...
This paper provides an introduction to algorithms for fundamental linear algebra problems on various...
The paper presents two new algorithms for the direct parallel solution of systems of linear equation...
[[abstract]]In this paper we use hypercube computers for solving linear systems. First, the pivoting...
This paper shows the abilities of the parallel processing in the solution of linear equation systems...
Abstract. We extend the refinement calculus to permit the derivation of programs in the Bulk Synchro...
Parallel Gaussian elimination technique for the solution of a system of equations Ax C where A is a ...
. Iterative methods for the solution of linear systems on parallel computer architectures are prese...
An abstract view of symmetric gaussian elimination is presented. Problems are viewed as an assembly ...
AbstractWe propose several implementations of Gaussian elimination for solving banded linear systems...
AbstractThe refinement calculus and the action system formalism are combined to provide a uniform me...
We show how to apply the refinement calculus to stepwise refinement of parallel and reactive program...
A standard multiplication algorithm for square matrices is transformed into a distributed algorithm....
AbstractIn this paper, a variant of Gaussian Elimination (GE) called Successive Gaussian Elimination...
This paper provides an introduction to algorithms for fundamental linear algebra problems on various...
AbstractThe solution of linear systems continues to play an important role in scientific computing. ...
This paper provides an introduction to algorithms for fundamental linear algebra problems on various...
The paper presents two new algorithms for the direct parallel solution of systems of linear equation...
[[abstract]]In this paper we use hypercube computers for solving linear systems. First, the pivoting...
This paper shows the abilities of the parallel processing in the solution of linear equation systems...
Abstract. We extend the refinement calculus to permit the derivation of programs in the Bulk Synchro...
Parallel Gaussian elimination technique for the solution of a system of equations Ax C where A is a ...
. Iterative methods for the solution of linear systems on parallel computer architectures are prese...
An abstract view of symmetric gaussian elimination is presented. Problems are viewed as an assembly ...
AbstractWe propose several implementations of Gaussian elimination for solving banded linear systems...