SvdMicrobenchmark {RHPCBenchmark} | R Documentation |
SvdMicrobenchmark
conducts a single performance trial of the
SVD dense matrix kernel for the matrix given in the kernelParameters
parameter. The function times the single function call
svd(kernelParameters$A)
.
SvdMicrobenchmark(benchmarkParameters, kernelParameters)
benchmarkParameters |
an object of type
|
kernelParameters |
a list of matrices or vectors to be used as input to the dense matrix kernel |
## Not run: # Allocate input to the singular value decomposition microbenchmark for the # first matrix size to be tested microbenchmarks <- GetDenseMatrixDefaultMicrobenchmarks() kernelParameters <- SvdAllocator(microbenchmarks[["svd"]], 1) # Execute the microbenchmark timings <- SvdMicrobenchmark(microbenchmarks[["svd"]], kernelParameters) ## End(Not run)