DBM
Section can be repeated.
Benchmark and test the dbm routines [Edit on GitHub]
Keywords
Keyword descriptions
ALPHA
Type: real
Default: 1.00000000E+000
Usage: ALPHA 2.0
Description: Multiplication factor [Edit on GitHub]
ALWAYS_CHECKSUM
Type: logical
Default: F
Lone keyword: T
Usage: ALWAYS_CHECKSUM
Description: perform a checksum after each multiplication [Edit on GitHub]
ASPARSITY
Type: real
Default: 0.00000000E+000
Usage: ASPARSITY 70
Description: Sparsity of A matrix [Edit on GitHub]
BETA
Type: real
Default: 0.00000000E+000
Usage: BETA 1.0
Description: Product premultiplication factor [Edit on GitHub]
BSPARSITY
Type: real
Default: 0.00000000E+000
Usage: BSPARSITY 80
Description: Sparsity of B matrix [Edit on GitHub]
BS_K
Type: integer[ ]
Default: 1 13 2 15
Usage: BS_K 1 13 2 5
Description: Block sizes of inner dimension [Edit on GitHub]
BS_M
Type: integer[ ]
Default: 1 13 2 15
Usage: BS_M 1 13 2 5
Description: Row block sizes of C [Edit on GitHub]
BS_N
Type: integer[ ]
Default: 1 13 2 15
Usage: BS_N 1 13 2 5
Description: Column block sizes of C [Edit on GitHub]
CSPARSITY
Type: real
Default: 0.00000000E+000
Usage: CSPARSITY 90
Description: Sparsity of C matrix [Edit on GitHub]
FILTER_EPS
Type: real
Default: -1.00000000E+000
Usage: FILTER_EPS 1.0
Description: Threshold for on-the-fly and final filtering. [Edit on GitHub]
KEEPSPARSE
Type: logical
Default: F
Lone keyword: T
Usage: KEEPSPARSE
Description: Keep product sparse [Edit on GitHub]
N_LOOP
Type: integer
Default: 10
Usage: N_LOOP 10
Description: Number of operations being timed (useful for small matrices). [Edit on GitHub]
TRANSA
Type: logical
Default: F
Lone keyword: T
Usage: TRANSA
Description: Transpose matrix A [Edit on GitHub]
TRANSB
Type: logical
Default: F
Lone keyword: T
Usage: TRANSB
Description: Transpose matrix B [Edit on GitHub]