PerformClusteringMicrobenchmarking: Performs microbenchmarking of machine learning functions...

In RHPCBenchmark: Benchmarks for High-Performance Computing Environments

Description

PerformClusteringMicrobenchmarking performs microbenchmarking of machine learning functionality specified by the input list of ClusteringMicrobenchmark objects. Objects with the active flag set to TRUE indicate that the corresponding microbenchmark will be performed; FALSE indicates that the microbenchmark will be skipped.

Usage

PerformClusteringMicrobenchmarking(microbenchmarks, microbenchmarkingFunction,
  numberOfThreads, runIdentifier, resultsDirectory)

Arguments

microbenchmarks	a list of ClusteringMicrobenchmark objects defining the machine learning microbenchmarks to be executed as part of the machine learning benchmark.
microbenchmarkingFunction	a function that performs the run time performance trials, computes the summary performance statistics, and writes the performance results to standard out,
numberOfThreads	the number of threads the microbenchmarks are intended to be executed with; the value is for display purposes only as the number of threads used is assumed to be controlled through environment variables
runIdentifier	a character string specifying the suffix to be appended to the base of the file name of the output CSV format files
resultsDirectory	a character string specifying the directory where all of the CSV performance results files will be saved

Value

a data frame containing the benchmark name, user, system, and elapsed (wall clock) times of each performance trial each microbenchmark

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