A Generalized Directive-Based Approach for Accelerating PDE Solvers
Francesco Salvadore (Cineca)
Cube-Flu is a Python software application that produces Fortran code for solving Partial Differential Equations (PDEs), according to the input provided by the user. The code produced by Cube-Flu is designed for exploiting distribuited memory architectures as well as Graphics Processing Units, as shown in the next section. The software solves equations of the form ∂u∂t=f(u) on cartesian grids, using Runge-Kutta time integration, and finite difference schemes. The idea behind the application is to provide a simple framework for solving a wide class of systems of equations, using a natural and intuitive syntax.
Lecture Notes in Computer Science Volume 7312, 2012, pp 258-261
DOI: 10.1007/978-3-642-30961-8_21