SparseLuMicrobenchmark {RHPCBenchmark} | R Documentation |
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
.
SparseLuMicrobenchmark(benchmarkParameters, kernelParameters)
benchmarkParameters |
an object of type
|
kernelParameters |
a list of matrices or vectors to be used as input to the sparse matrix kernel |
## 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)