- ...
-
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
- ... \\
-
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
- ... \\
-
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
- ... \\
-
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
- ... preconditioner.
- In fact, they are the
starting points of both classes of sweeping preconditioners.
The
-matrix approach essentially executes these algorithms with
-matrix arithmetic.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
- ....
- In all of the experiments
in this paper,
was either 5 or 6, and the subdomain depth
never exceeded 10.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
- ....
- Note that increasing the number of planes
per panel provides a mechanism for interpolating between the sweeping
preconditioner and a full multifrontal factorization.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
- ...
sequentially.
- While
it is tempting to try to expose more parallelism with techniques like cyclic
reduction (which is a special case of a multifrontal algorithm), their
straightforward application destroys the Schur complement properties that we
exploit for our fast algorithm.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
- ...Schreiber-scalability.
- Cf. (1), which
advocates for only distributing the root frontal matrix two-dimensionally and
using a one-dimensional distribution for all other fronts.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
- ...
processes.
- In cases where the available solve parallelism has been
exhausted but the problem cannot be solved on less processes due to memory
constraints, it would be preferable to solve with subdomains stored on subsets
of processes.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
- ...
frequency.
- A similar observation is also made
in (37).
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
- ...
implemented.
- Other than Clique, the only other implementation appears
to be in DSCPACK (31).
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.