Abstract
We present three ideas to accelerate the filtering process used in
the multilayered Spectral Element Ocean Model (SEOM). We define and
analyze a Schur complement preconditioner, a lumping of small entries
and an algebraic multigrid (AMG) algorithm. and a algebraic multigrid
with patch smoothing algorithm. Finally, we analyze the impact of
variations of the Schur complement and AMG methods on memory and computer time.