GetDenseMatrixDefaultMicrobenchmarks: Initializes the list of default dense matrix microbenchmarks

In RHPCBenchmark: Benchmarks for High-Performance Computing Environments

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.

See Also

DenseMatrixMicrobenchmark

RHPCBenchmark documentation built on May 2, 2019, 6:40 a.m.