SparseQrMicrobenchmark: Conducts a single performance trial with the QR factorization...

In RHPCBenchmark: Benchmarks for High-Performance Computing Environments

Description

SparseQrVectorMicrobenchmark conducts a single performance trial of the QR factorization sparse matrix kernel for the matrix given in the kernelParameters parameter. The function times the single function call qr(kernelParameters$A).

Usage

SparseQrMicrobenchmark(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 QR factorization microbenchmark for the
# Maragal_6 matrix
microbenchmarks <- GetSparseQrDefaultMicrobenchmarks()
kernelParameters <- SparseQrAllocator(microbenchmarks[["qr_Maragal_6"]], 1)
# Execute the microbenchmark
timings <- SparseQrMicrobenchmark(
   microbenchmarks[["qr_Maragal_6"]], kernelParameters)

## End(Not run)

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