On Fri, 19 Jun 2015, Anthony Haas wrote:
Hi,
I have a Fortran90 program that solves a complex linear generalized eigenvalue problem (GEVP) using standard fortran 90 programming:
Subroutines, modules, allocatable arrays, real(8), int,...
This program uses Lapack to solve the GEVP. The program is mainly made off:
1) set dimensions of problem and initialize arrays,... 2) compute the baseflow (for instance boundary layer flow) 3) build the (stability) complex generalized eigenvalue problem ==> build (dense) matrices A and B 4) solve the GEVP with Lapack
Now I want to use PETSc + SLEPc to use sparse matrices. Do I need to rewrite/modify everything in terms of PETSc variables as follows:
- int -> PetscInt - real(8) -> PetscScalar perhaps you mean: PetscReal
- complex*16 -> PetscScalar
or is it possible to reuse all that F90 code? For instance I have a similarity solver that computes Blasius solution. If that similarity solver provides me with u and v velocities in terms of standard fortran90 real(8) variables, how should I do to use these variables to build my complex matrix? Should I convert them to Petsc variables? How?
You can use the current datatypes used in your code - And always make sure the types match manually. [Fortran does not have typecheck anyway..]
what should I do with my Fortran90 allocatable arrays?
real(dp),allocatable,dimension(:,:) :: u--> PetscScalar,allocatable,dimension(:,:) :: u ????
Either should work. You can add the following to your code: #if !defined(PETSC_USE_COMPLEX) #error "this code requires PETSc --with-scalar-type=complex build" #endif #if !defined(PETSC_USE_REAL_DOUBLE) #error "this code requires PETSc --with-precision=real build" #endif Satish