The locally lexicographic symmetric successive overrelaxation algorithm (ll
-SSOR) is the most effective parallel preconditioner known for iterative so
lvers used in lattice gauge theory. After reviewing the basic properties of
ll-SSOR, the focus of this contribution is put on its parallel aspects: th
e administrative overhead of the parallel implementation of ll-SSOR, which
is due to many conditional operations, decreases its efficiency by a factor
of up to one third. A simple generalization of the algorithm is proposed t
hat allows the application of the lexicographic ordering along specified ax
es, while along the other dimensions odd-even preconditioning is used. In t
his way one can tune the preconditioner towards optimal performance by bala
ncing ll-SSOR effectivity and administrative overhead. (C) 1999 Elsevier Sc
ience B.V. All rights reserved.