RHPCBenchmark (version 0.1.0)

ClaraClusteringMicrobenchmark: Conducts a single performance trial with the cluster::clara function

Description

ClusteringMicrobenchmark conducts a single performance trial of the cluster::clara function with the data given in the kernelParameters parameter.

Usage

ClaraClusteringMicrobenchmark(benchmarkParameters, kernelParameters)

Arguments

benchmarkParameters

an object of type ClusteringMicrobenchmark specifying various parameters for microbenchmarking the cluster::clara function

kernelParameters

a list of data objects to be used as input to the clustering function

Value

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

Examples

## Not run: ------------------------------------
# # Allocate input to the pam clustering microbenchmark
# microbenchmarks <- GetClusteringExampleMicrobenchmarks()
# kernelParameters <- ClusteringAllocator(microbenchmarks[["clara_cluster_3_3_1000"]])
# # Execute the microbenchmark
# timings <- ClaraClusteringMicrobenchmark(
#    microbenchmarks[["clara_cluster_3_3_1000"]], kernelParameters)
## ---------------------------------------------