I'm now using LAPACK to solve a huge non-hermitian complex eigen matrix.

It works perfectly. I would like to know if I could use ScaLAPACK to

solve the same problem with parallelization?

If yes, do you have any idea how much efficiency it will be? For

example, use 16 CPUs? Is there any rough number that I could estimate the improvement?

Many thanks,

Feng