  In this paper an inverse preconditioner for the numerical solution of an
elliptic Laplace prob- lem of a global circulation ocean model is presented.
The inverse preconditiong technique is adopted in order to efficiently compute
the numerical solution of the elliptic kernel by using the Conjugate Gradient
(CG) method. We show how the performance and the rate of conver- gence of the
solver are linked to the discretized grid resolution and to the Laplace
coefficients of the oceanic model. Finally, we describe an easy-to-implement
version of the solver on the Graphical Processing Units (GPUs) by means of
scientific computing libraries and we discuss its performance.
