RHPCBenchmark (version 0.1.0)

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

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)
## ---------------------------------------------