DeterminantMicrobenchmark: Conducts a single performance trial with the matrix...

In RHPCBenchmark: Benchmarks for High-Performance Computing Environments

Description

DeterminantMicrobenchmark conducts a single performance trial of the dense matrix determinant dense matrix kernel for the matrix given in the kernelParameters parameter. The function times the single function call determinant(kernelParameters$A).

Usage

DeterminantMicrobenchmark(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 matrix determinant microbenchmark for the first
# matrix size to be tested
microbenchmarks <- GetDenseMatrixDefaultMicrobenchmarks()
kernelParameters <- DeterminantAllocator(microbenchmarks[["determinant"]], 1)
# Execute the microbenchmark
timings <- DeterminantMicrobenchmark(microbenchmarks[["determinant"]], kernelParameters)

## End(Not run)

RHPCBenchmark documentation built on May 2, 2019, 6:40 a.m.