EigenMicrobenchmark {RHPCBenchmark}

Conducts a single performance trial with the matrix eigendecomposition dense matrix kernel

Description

EigenMicrobenchmark conducts a single performance trial of the matrix eigendecomposition dense matrix kernel for the matrix given in the kernelParameters parameter. The function times the single function call eigen(kernelParameters$A, symmetric=FALSE, only.values=FALSE).

Usage

EigenMicrobenchmark(benchmarkParameters, kernelParameters)

Arguments

benchmarkParameters

an object of type DenseMatrixMicrobenchmark specifying various parameters for microbenchmarking the dense matrix kernel

kernelParameters

a list of matrices or vectors to be used as input to the dense matrix kernel

Examples

## Not run: 
# Allocate input to the matrix eigendecomposition microbenchmark for the
# first matrix size to be tested
microbenchmarks <- GetDenseMatrixDefaultMicrobenchmarks()
kernelParameters <- EigenAllocator(microbenchmarks[["eigen"]], 1)
# Execute the microbenchmark
timings <- EigenMicrobenchmark(microbenchmarks[["eigen"]], kernelParameters)

## End(Not run)