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RHPCBenchmark (version 0.1.0)

SolveMicrobenchmark: Conducts a single performance trial with the dense matrix kernel for

Description

SolveMicrobenchmark conducts a single performance trial of the solve dense matrix kernel for the matrix given in the kernelParameters parameter. The function times the single function call solve(kernelParameters$A, kernelParameters$B, LAPACK=TRUE).

Usage

SolveMicrobenchmark(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

Run this code
## Not run: ------------------------------------
# # Allocate input to the linear solve microbenchmark for the
# # first matrix size to be tested
# microbenchmarks <- GetDenseMatrixDefaultMicrobenchmarks()
# kernelParameters <- SolveAllocator(microbenchmarks[["solve"]], 1)
# # Execute the microbenchmark
# timings <- SolveMicrobenchmark(microbenchmarks[["solve"]], kernelParameters)
## ---------------------------------------------

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