EigenAllocator

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

benchmarkParameters

an integer index indicating the dimensions of the matrix or
vector data to be generated as input for the dense matrix kernel.

index

<code>EigenAllocator</code> allocates and populates the input to the
matrix eigendecomposition dense matrix kernel for the purposes of conducting
a single performance trial with the <code>EigenMicrobenchmark</code> function.  The
matrices or vectors corresponding to the <code>index</code> parameter must be
allocated, initialized and returned in the <code>kernelParameters</code> list.

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

EigenAllocator function

an object of type
<code><a rd-options='' href='DenseMatrixMicrobenchmark'>DenseMatrixMicrobenchmark</a></code> specifying various parameters
needed to generate input for the dense matrix kernel.

EigenAllocator: Allocates and populates input to the matrix eigendecomposition kernel

Description

Usage

Arguments