第157回 第2部

In this talk, we will focus on a multigrid method. A convergence and performance of the multigrid method strongly depend on a smoother. We proposed a multiplicative Schwartz type block multi-color Gauss-Seidel(MS-BMC-GS) smoother. This smoother has better convergence, higher cache-hit ratio, and fewer communications compared with existing methods. In this talk, we introduce the MS-BMC-GS smoother and show the numerical evaluations with a geometric and algebraic multigrid method.