MicrobenchmarkClusteringKernel: Performs microbenchmarking of a clustering for machine...
In RHPCBenchmark: Benchmarks for High-Performance Computing Environments
Description
Usage
Arguments
Details
Value
View source: R/microbenchmark_clustering_kernel.R
Description
MicrobenchmarkClusteringKernel performs microbenchmarking of a
clustering for machine learning kernel for a given data set
Usage
1
2
MicrobenchmarkClusteringKernel(benchmarkParameters, numberOfThreads,
resultsDirectory, runIdentifier)
Arguments
benchmarkParameters
an object of type
ClusteringMicrobenchmark specifying the data set
to be read in or generated and the number of performance trials
to perform with the data set.
numberOfThreads
the number of threads the microbenchmark is being
performed with. The value is for informational purposes only and does not
effect the number threads the kernel is executed with.
resultsDirectory
a character string specifying the directory
where all of the CSV performance results files will be saved
runIdentifier
a character string specifying the suffix to be
appended to the base of the file name of the output CSV format files
Details
This function performs microbenchmarking of a clustering for machine learning
kernel for a given data set and a given number of threads. The
kernel to be performance tested and other parameters specifying how the
kernel is to be benchmarked are given in the input object
benchmarkParameters which is an instance of the class
ClusteringMicrobenchmark. The
performance results are averaged over the number of performance trials
and written to a CSV file. The results of the individual performance
trials are retained in a data frame that is returned upon completion of the
microbenchmark. The kernel can be executed with multiple threads if the
kernel supports multithreading. See
ClusteringMicrobenchmark for more details on the
benchmarking parameters.
Value
a dataframe containing the performance trial times for the given
kernel and data set being tested, that is the raw performance data before
averaging. The columns of the data frame are the following:
- BenchmarkName
The name of the microbenchmark
- NumberOfFeatures
The number of features in each feature vector
- NumberOfFeatureVectors
The number of features in the data set
- NumberOfClusters
The number of clusters in the data set
- UserTime
The amount of time spent in user-mode code within the
microbenchmarked code
- SystemTime
The amount of time spent in the kernel within the
process
- WallClockTime
The total time spent to complete the performance
trial
- DateStarted
The date and time the performance trial was commenced
- DateFinished
The date and time the performance trial ended
RHPCBenchmark documentation built on May 2, 2019, 6:40 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Details Value
View source: R/microbenchmark_clustering_kernel.R
Description
MicrobenchmarkClusteringKernel performs microbenchmarking of a
clustering for machine learning kernel for a given data set
Usage
1 2 | MicrobenchmarkClusteringKernel(benchmarkParameters, numberOfThreads,
resultsDirectory, runIdentifier)
|
Arguments
benchmarkParameters |
an object of type
|
numberOfThreads |
the number of threads the microbenchmark is being performed with. The value is for informational purposes only and does not effect the number threads the kernel is executed with. |
resultsDirectory |
a character string specifying the directory where all of the CSV performance results files will be saved |
runIdentifier |
a character string specifying the suffix to be appended to the base of the file name of the output CSV format files |
Details
This function performs microbenchmarking of a clustering for machine learning
kernel for a given data set and a given number of threads. The
kernel to be performance tested and other parameters specifying how the
kernel is to be benchmarked are given in the input object
benchmarkParameters which is an instance of the class
ClusteringMicrobenchmark. The
performance results are averaged over the number of performance trials
and written to a CSV file. The results of the individual performance
trials are retained in a data frame that is returned upon completion of the
microbenchmark. The kernel can be executed with multiple threads if the
kernel supports multithreading. See
ClusteringMicrobenchmark for more details on the
benchmarking parameters.
Value
a dataframe containing the performance trial times for the given kernel and data set being tested, that is the raw performance data before averaging. The columns of the data frame are the following:
- BenchmarkName
The name of the microbenchmark
- NumberOfFeatures
The number of features in each feature vector
- NumberOfFeatureVectors
The number of features in the data set
- NumberOfClusters
The number of clusters in the data set
- UserTime
The amount of time spent in user-mode code within the microbenchmarked code
- SystemTime
The amount of time spent in the kernel within the process
- WallClockTime
The total time spent to complete the performance trial
- DateStarted
The date and time the performance trial was commenced
- DateFinished
The date and time the performance trial ended
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.