SparseLuMicrobenchmark: Conducts a single performance trial with the LU factorization...

In RHPCBenchmark: Benchmarks for High-Performance Computing Environments

Description

SparseMatrixVectorMicrobenchmark conducts a single performance trial of the Cholesky factorization sparse matrix kernel for the matrix given in the kernelParameters parameter. The function times the single function call kernelParameters$A %*% kernelParameters$b.

Usage

SparseLuMicrobenchmark(benchmarkParameters, kernelParameters)

Arguments

benchmarkParameters	an object of type SparseMatrixMicrobenchmark specifying various parameters for microbenchmarking the sparse matrix kernel
kernelParameters	a list of matrices or vectors to be used as input to the sparse matrix kernel

Examples

## Not run: 
# Allocate input to the LU factorization microbenchmark for the
# circuit5M_dc matrix
microbenchmarks <- GetSparseLuDefaultMicrobenchmarks()
kernelParameters <- SparseLuAllocator(microbenchmarks[["lu_circuit5M_dc"]], 1)
# Execute the microbenchmark
timings <- SparseLuMicrobenchmark(
   microbenchmarks[["lu_circuit5M_dc"]], kernelParameters)

## End(Not run)

RHPCBenchmark documentation built on May 2, 2019, 6:40 a.m.