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RHPCBenchmark (version 0.1.0)

TransposeMicrobenchmark: Conducts a single performance trial with the matrix transpose dense matrix

Description

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

Usage

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

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