DenseMatrixMicrobenchmark

This class specifies a dense matrix microbenchmark.

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

DenseMatrixMicrobenchmark function

<dl class="dl-horizontal">
<dt><code>active</code></dt><dd>a logical indicating whether the microbenchmark is to be
executed (TRUE) or not (FALSE).</dd></dl><dt><code>benchmarkName</code></dt><dd>a character string that is the name of the
microbenchmark.</dd><dt><code>benchmarkDescription</code></dt><dd>a character string describing the microbenchmark.</dd><dt><code>dimensionParameters</code></dt><dd>an integer vector specifying the dimension
parameters the microbenchmark uses to define the matrix dimensions to be
tested with.</dd><dt><code>numberOfTrials</code></dt><dd>an integer vector specifying the number of performance
trials conducted for each matrix to be tested. Must be the same length as
<code>dimensionParameters</code>.</dd><dt><code>numberOfWarmupTrials</code></dt><dd>an integer vector specifying the number of warmup
trials to be performed for each matrix to be tested.</dd><dt><code>allocatorFunction</code></dt><dd>the function that allocates and initializes input to
the benchmark function. The function takes a
<code>DenseMatrixMicrobenchmark</code> object and an integer index indicating
which matrix dimension parameter from <code>dimensionParameters</code> should
be used to generate the matrix.</dd><dt><code>benchmarkFunction</code></dt><dd>the benchmark function which executes the
functionality to be timed. The function takes a
<code>DenseMatrixMicrobenchmark</code> and a list of kernel parameters
returned by the allocator function.</dd>

DenseMatrixMicrobenchmark: This class specifies a dense matrix microbenchmark.

Description

Arguments

Fields