Description Usage Value See Also
View source: R/sparse_matrix_benchmark.R
GetSparseMatrixVectorDefaultMicrobenchmarks
defines the default sparse
matrix-vector microbenchmarks to be executed by the
RunSparseMatrixBenchmark
function. The current sparse
matrix-vector microbenchmarks cover a variety of matrices of different
dimensions and number of non-zero values. They are as follows:
matvec_laplacian7pt_100 – 100x100x100 7-point Laplacian operator
matvec_laplacian7pt_200 – 200x200x200 7-point Laplacian operator
matvec_ca2010 – DIMACS10/ca2010 710145x710145 undirected graph matrix
See the documentation for the
SparseMatrixMicrobenchmark
class for more details.
1 |
a list of SparseMatrixMicrobenchmark
objects defining the
microbenchmarks to be executed. The microbenchmarks appear in the order
listed in the function description and are assigned the names enumerate
in the description.
Other sparse matrix default microbenchmarks: GetSparseCholeskyDefaultMicrobenchmarks
,
GetSparseCholeskyExampleMicrobenchmarks
,
GetSparseLuDefaultMicrobenchmarks
,
GetSparseMatrixVectorExampleMicrobenchmarks
,
GetSparseQrDefaultMicrobenchmarks
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