SparseCholeskyAllocator

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

benchmarkParameters

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

index

<code>SparseCholeskyAllocator</code> allocates and initializes the sparse
matrix that is input to the sparse matrix kernel for the
purposes of conducting a single performance trial with the
<code>SparseCholeskyMicrobenchmark</code> function.  The matrix is populated
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

SparseCholeskyAllocator function

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

SparseCholeskyAllocator: Allocates and initializes input to the Cholesky factorization sparse

Description

Usage

Arguments