OpenBLAS/benchmark/scripts/R/dsolve.R

#!/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 <- (2.0/3 * n * n * n + 2 * n * n * n) * loops/ (z[3] * 1e6)

  st <- sprintf("%.0fx%.0f :", n, n)
  cat(sprintf("%20s %10.2f MFlops %10.6f sec\n", st, mflops, z[3]))

  n <- n + nstep
}