gbla - Linear algebra for Groebner basis computations
gbla [options] [file..]
Computes Gaussian Elimination of a structured hybrid sparse-
dense matrix coming from Groebner basis computations.
-b Dimensions of a block in submatrices.
NOTE: The block dimension must be a multiple of __GB_LOOP_UNROLL_BIG
which is by default 64. You can reset __GB_LOOP_UNROLL_BIG in
src/gb_config.h.in (you need to rebuild the library afterwards).
-h Print help.
-f Free memory on the go.
Default: 1, memory is freed on the go.
Use 0 for keeping complete memory until the end.
-n Use the new format for matrices.
-p Writes intermediate matrices in pbm format.
-r Compute a REDUCED row echelon form.
-s Splicing options:
0: standard Faugère-Lachartre block method,
1: A and C are multiline, B and D are blocks.
-t THRDS Number of threads used.
-v LEVEL Level of verbosity:
1 -> only error messages printed
2 -> some meta information printed
3 -> additionally meta information printed
Note: Everything >2 is time consuming and slows down
the overall computations.