Speeding up a few orders of magnitude the Jacobi method: high order Chebyshev-Jacobi over GPUs
This work provides a practical acceleration technique for solving elliptic PDEs, which is relevant for computational scientists and engineers using finite difference methods.
The authors achieve a remarkable speedup in solving elliptic PDEs with finite differences by combining the Chebyshev-Jacobi method with high-order discretizations and GPU parallelization, resulting in orders of magnitude faster convergence.
In this technical note we show how to reach a remarkable speed up when solving elliptic partial differential equations with finite differences thanks to the joint use of the Chebyshev-Jacobi method with high order discretizations and its parallel implementation over GPUs.