OpenBLAS/benchmark/scripts/R/dsolve.R

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1.0 KiB
R
Executable File

#!/usr/bin/Rscript
argv <- commandArgs(trailingOnly = TRUE)
if (!is.null(options("matprod")[[1]])) options(matprod = "blas")
nfrom <- 128
nto <- 2048
nstep <- 128
loops <- 1
if (length(argv) > 0) {
for (z in 1:length(argv)) {
if (z == 1) {
nfrom <- as.numeric(argv[z])
} else if (z == 2) {
nto <- as.numeric(argv[z])
} else if (z == 3) {
nstep <- as.numeric(argv[z])
} else if (z == 4) {
loops <- as.numeric(argv[z])
}
}
}
p <- Sys.getenv("OPENBLAS_LOOPS")
if (p != "") {
loops <- as.numeric(p)
}
cat(sprintf("From %.0f To %.0f Step=%.0f Loops=%.0f\n", nfrom, nto, nstep, loops))
cat(sprintf(" SIZE Flops Time\n"))
n <- nfrom
while (n <= nto) {
A <- matrix(rnorm(n * n), nrow = n)
B <- matrix(rnorm(n * n), nrow = n)
z <- system.time(for (l in 1:loops) {
solve(A, B)
})
mflops <- (8.0 / 3 * n * n * n) * loops / (z[3] * 1e+06)
st <- sprintf("%.0fx%.0f :", n, n)
cat(sprintf("%20s %10.2f MFlops %10.6f sec\n", st, mflops, z[3]))
n <- n + nstep
}