| GetDenseMatrixDefaultMicrobenchmarks {RHPCBenchmark} | R Documentation |
Initializes the list of default dense matrix microbenchmarks
Description
GetDenseMatrixDefaultMicrobenchmarks defines the default dense
matrix microbenchmarks to be executed by the
RunDenseMatrixBenchmark function. The current microbenchmarks
are Cholesky factorization, matrix cross product, matrix determinant,
eigendecomposition, linear solve with multiple right hand sides, least
squares fit, matrix deformation and transpose, matrix-matrix multiplication,
matrix-vector multiplication, QR decomposition, and singular value
decomposition. See the documentation for the
DenseMatrixMicrobenchmark class for more details.
Usage
GetDenseMatrixDefaultMicrobenchmarks()
Value
a list of DenseMatrixMicrobenchmark objects defining the
microbenchmarks to be executed. The microbenchmarks appear in the order
listed in the function description and are assigned the following names:
cholesky, crossprod, determinant, eigen, solve, lsfit, deformtrans,
transpose, matmat, matvec, qr, and svd.