Developer Reference for Intel® oneAPI Math Kernel Library for C

ID 766684
Date 6/24/2024
Public

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dss_statistics

Returns statistics about various phases of the solving process.

Syntax

MKL_INT dss_statistics(_MKL_DSS_HANDLE_t *handle, MKL_INT const *opt, _CHARACTER_STR_t const *statArr, _DOUBLE_PRECISION_t *retValues)

Include Files

  • mkl.h

Description

The dss_statistics routine returns statistics about various phases of the solving process. This routine gathers the following statistics:

  • time taken to do reordering,

  • time taken to do factorization,

  • duration of problem solving,

  • determinant of the symmetric indefinite input matrix,

  • inertia of the symmetric indefinite input matrix,

  • number of floating point operations taken during factorization,

  • total peak memory needed during the analysis and symbolic factorization,

  • permanent memory needed from the analysis and symbolic factorization,

  • memory consumption for the factorization and solve phases.

Statistics are returned in accordance with the input string specified by the parameter statArr. The value of the statistics is returned in double precision in a return array, which you must allocate beforehand.

For multiple statistics, multiple string constants separated by commas can be used as input. Return values are put into the return array in the same order as specified in the input string.

Statistics can only be requested at the appropriate stages of the solving process. For example, requesting FactorTime before a matrix is factored leads to an error.

The following table shows the point at which each individual statistics item can be requested:

Statistics Calling Sequences
Type of Statistics When to Call
ReorderTime After dss_reorder is completed successfully.
FactorTime After dss_factor_real or dss_factor_complex is completed successfully.
SolveTime After dss_solve_real or dss_solve_complex is completed successfully.
Determinant After dss_factor_real or dss_factor_complex is completed successfully.
Inertia After dss_factor_real is completed successfully and the matrix is real, symmetric, and indefinite.
Flops After dss_factor_real or dss_factor_complex is completed successfully.
Peakmem After dss_reorder is completed successfully.
Factormem After dss_reorder is completed successfully.
Solvemem After dss_factor_real or dss_factor_complex is completed successfully.

Input Parameters

handle

Pointer to the data structure storing internal DSS results (MKL_DSS_HANDLE).

opt

Parameter to pass the DSS options.

statArr

Input string that defines the type of the returned statistics. The parameter can include one or more of the following string constants (case of the input string has no effect):

ReorderTime

Amount of time taken to do the reordering.

FactorTime

Amount of time taken to do the factorization.

SolveTime

Amount of time taken to solve the problem after factorization.

Determinant

Determinant of the matrix A.

For real matrices: the determinant is returned as det_pow, det_base in two consecutive return array locations, where 1.0 abs(det_base) < 10.0 and determinant = det_base*10(det_pow).

For complex matrices: the determinant is returned as det_pow, det_re, det_im in three consecutive return array locations, where 1.0 abs(det_re) + abs(det_im) < 10.0 and determinant = (det_re, det_im)*10(det_pow).

Inertia

Inertia of a real symmetric matrix is defined as a triplet of nonnegative integers (p,n,z), where p is the number of positive eigenvalues, n is the number of negative eigenvalues, and z is the number of zero eigenvalues.

Inertia is returned as three consecutive return array locations p, n, z.

Computing inertia can lead to incorrect results for matrixes with a cluster of eigenvalues which are near 0.

Inertia of a k-by-k real symmetric positive definite matrix is always (k, 0, 0). Therefore Inertia is returned only in cases of real symmetric indefinite matrices. For all other matrix types, an error message is returned.

Flops

Number of floating point operations performed during the factorization.

Peakmem

Total peak memory in kilobytes that the solver needs during the analysis and symbolic factorization phase.

Factormem

Permanent memory in kilobytes that the solver needs from the analysis and symbolic factorization phase in the factorization and solve phases.

Solvemem

Total double precision memory consumption (kilobytes) of the solver for the factorization and solve phases.

Output Parameters

retValues

Value of the statistics returned.

Finding 'time used to reorder' and 'inertia' of a matrix

The example below illustrates the use of the dss_statistics routine.

To find the above values, call dss_statistics(handle, opt, statArr, retValue), where staArr is "ReorderTime,Inertia"

In this example, retValue has the following values:

retValue[0]
Time to reorder.
retValue[1]
Positive Eigenvalues.
retValue[2]
Negative Eigenvalues.
retValue[3]
Zero Eigenvalues.

Return Values

MKL_DSS_SUCCESS

MKL_DSS_INVALID_OPTION

MKL_DSS_STATISTICS_INVALID_MATRIX

MKL_DSS_STATISTICS_INVALID_STATE

MKL_DSS_STATISTICS_INVALID_STRING

MKL_DSS_MSG_LVL_ERR

MKL_DSS_TERM_LVL_ERR