SparseCholeskyMicrobenchmark {RHPCBenchmark}

Conducts a single performance trial with the Cholesky factorization sparse matrix kernel

Description

SparseMatrixVectorMicrobenchmark conducts a single performance trial of the Cholesky factorization sparse matrix kernel for the matrix given in the kernelParameters parameter. The function times the single function call kernelParameters$A %*% kernelParameters$b.

Usage

SparseCholeskyMicrobenchmark(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

Value

a vector containing the user, system, and elapsed performance timings in that order

Examples

## Not run: 
# Allocate input to the Cholesky factorization microbenchmark for the
# ct20stif matrix
microbenchmarks <- GetSparseCholeskyDefaultMicrobenchmarks()
kernelParameters <- SparseCholeskyAllocator(microbenchmarks[["cholesky_ct20stif"]], 1)
# Execute the microbenchmark
timings <- SparseCholeskyMicrobenchmark(
   microbenchmarks[["choleksy_ct20stif"]], kernelParameters)

## End(Not run)