Vectorized EigenValue Solver (VES)

General Description

Many of the buckling dynamic analysis produce a sparse set of stiffness and mass system of equations. Solving large linear system of equations require efficient robust eigensolver. Lancos method tend to be more robust and faster than subspace methods. Lancos Sparse Solver are the solution for solving large scale dynamic problems.

Specifications:

VES is a general sparse eigen equation solver. It is robust and efficient sparse solver. It uses minimum memory when solving the linear system of equations. Memory is dynamically allocated within the solver and the user does not have to worry about allocation of memory . It is packaged so that it is easy to use and implement within any code. Users and developers can use it as a black box. VES uses the sparse solver PVSS or VSS for solving the linear system of equations. The interface for the eigen solver is simple.

VES has been implemented on many computer platforms such as IBM, SGI, CRAY, SUN, HP, DEC, and PC's.

Limitations:

VES can solve symmetric definite and indefinite linear system of equations using real and complex arithmetic's.

Future release

Work is underway to develop new reordering techniques for the solver.

Calling VES Library

Matrix Format

Environment Variables

Performance Results

X-Window Interface

List of Happy Users

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