LsfitMicrobenchmark {RHPCBenchmark}

Conducts a single performance trial with the matrix least squares fit dense matrix kernel

Description

LsfitMicrobenchmark conducts a single performance trial of the matrix least squares fit dense matrix kernel for the matrix given in the kernelParameters parameter. The function times the single function call lsfit(kernelParameters$A, kernelParameters$b, intercept=FALSE).

Usage

LsfitMicrobenchmark(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 least-squares fit microbenchmark for the
# first matrix size to be tested
microbenchmarks <- GetDenseMatrixDefaultMicrobenchmarks()
kernelParameters <- LsfitAllocator(microbenchmarks[["lsfit"]], 1)
# Execute the microbenchmark
timings <- LsfitMicrobenchmark(microbenchmarks[["lsfit"]], kernelParameters)

## End(Not run)