RHPCBenchmark (version 0.1.0)

SparseLuMicrobenchmark: Conducts a single performance trial with the LU factorization sparse matrix

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)
## ---------------------------------------------