SparseMatrixVectorMicrobenchmark: Conducts a single performance trial with the matrix-vector...

In RHPCBenchmark: Benchmarks for High-Performance Computing Environments

Description

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

Usage

SparseMatrixVectorMicrobenchmark(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

Value

a vector containing the user, system, and elapsed performance timings in that order

Examples

## Not run: 
# Allocate input to the matrix-vector microbenchmark for the first Laplacian
# matrix
microbenchmarks <- GetSparseMatrixVectorDefaultMicrobenchmarks()
kernelParameters <- SparseMatrixVectorAllocator(
   microbenchmarks[["matvec_laplacian7pt_100"]], 1)
# Execute the microbenchmark
timings <- SparseMatrixVectorMicrobenchmark(
   microbenchmarks[["matvec_laplacian7pt_100"]], kernelParameters)

## End(Not run)

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