ClusteringAllocator

an object of type
<code><a rd-options="" href="/link/ClusteringMicrobenchmark?package=RHPCBenchmark&version=0.1.0" data-mini-rdoc="RHPCBenchmark::ClusteringMicrobenchmark">ClusteringMicrobenchmark</a></code> specifying various parameters
needed to generate input for the clustering microbenchmarks.

benchmarkParameters

<code>ClusteringAllocator</code> allocates and initializes the data sets that are
input to the clustering microbenchmarks for the purposes of conducting a
single performance trial with one of the clustering microbenchmark functions.

Microbenchmarks for determining the run time
performance of aspects of the R programming environment and packages
relevant to high-performance computation.  The benchmarks are divided into
three categories: dense matrix linear algebra kernels, sparse matrix linear
algebra kernels, and machine learning functionality.

James McCombs

RHPCBenchmark

Benchmarks for High-Performance Computing Environments

ClusteringAllocator function

an object of type
<code><a rd-options='' href='ClusteringMicrobenchmark'>ClusteringMicrobenchmark</a></code> specifying various parameters
needed to generate input for the clustering microbenchmarks.

ClusteringAllocator: Allocates and initializes input to the clustering for machine learning

Description

Usage

Arguments

Value

See Also