SparseCholeskyMicrobenchmark: Conducts a single performance trial with the Cholesky...
In RHPCBenchmark: Benchmarks for High-Performance Computing Environments

Description Usage Arguments Value Examples

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.

1	SparseCholeskyMicrobenchmark(benchmarkParameters, kernelParameters)

`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

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

## 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)