RHPCBenchmark (version 0.1.0)

SparseQrMicrobenchmark: Conducts a single performance trial with the QR factorization sparse matrix

Description

SparseQrVectorMicrobenchmark conducts a single performance trial of the QR factorization sparse matrix kernel for the matrix given in the kernelParameters parameter. The function times the single function call qr(kernelParameters$A).

Usage

SparseQrMicrobenchmark(benchmarkParameters, kernelParameters)

Arguments

benchmarkParameters

an object of type SparseMatrixMicrobenchmark specifying various parameters for microbenchmarking the sparse matrix kernel

kernelParameters

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

Examples

## Not run: ------------------------------------
# # Allocate input to the QR factorization microbenchmark for the
# # Maragal_6 matrix
# microbenchmarks <- GetSparseQrDefaultMicrobenchmarks()
# kernelParameters <- SparseQrAllocator(microbenchmarks[["qr_Maragal_6"]], 1)
# # Execute the microbenchmark
# timings <- SparseQrMicrobenchmark(
#    microbenchmarks[["qr_Maragal_6"]], kernelParameters)
## ---------------------------------------------