GetSparseLuDefaultMicrobenchmarks defines the default sparse LU
factorization microbenchmarks to be executed by the
RunSparseMatrixBenchmark function. The current sparse LU
factorization microbenchmarks cover a variety of matrices of different
dimensions and number of non-zero values. They are as follows:
See the documentation for the
SparseMatrixMicrobenchmark class for more details.
GetSparseLuDefaultMicrobenchmarks()SparseMatrixMicrobenchmark objects defining the
microbenchmarks to be executed. The microbenchmarks appear in the order
listed in the function description and are assigned the names enumerated
in the description.SparseMatrixMicrobenchmarkOther sparse matrix default microbenchmarks: GetSparseCholeskyDefaultMicrobenchmarks,
GetSparseCholeskyExampleMicrobenchmarks,
GetSparseMatrixVectorDefaultMicrobenchmarks,
GetSparseMatrixVectorExampleMicrobenchmarks,
GetSparseQrDefaultMicrobenchmarks