Martin Mächler mmaechler

Compiling an optimized ATLAS on Ubuntu 12.04

Download the latest ATLAS source from http://sourceforge.net/projects/math-atlas/files/. I'm using version 3.10.1
Download the latest Netlib LAPACK from http://www.netlib.org/lapack/. I'm using version 3.4.2
Turn off frequency scalings on your chip so that you can get reliable timings. This is essential to get a good ATLAS build

  sudo apt-get install cpufreq-info cpuspeed cpufrequtils sysfsutils
  # set each core to the "performance" governor, so that the clock frequency doesn't go down when idle
  # I have 8 cores, which is why I need to do this 8 times
  sudo cpufreq-selector -c 0 -g performance

	source("ifelse-def.R")


	##' warnifnot(): a "only-warning" version of stopifnot():
	##' {Yes, learn how to use do.call(substitute, ...) in a powerful manner !!}
	warnifnot <- stopifnot
	body(warnifnot) <- do.call(substitute, list(body(stopifnot),
	list(stop = quote(warning))))
	## (now, this was really cute ....)

	library(Rcpp)
	#library(RcppProgress)
	#library(RcppParallel)

	{
	code = '
	// [[Rcpp::depends(RcppProgress, RcppArmadillo, RcppParallel)]]
	#define ARMA_64BIT_WORD
	#include <RcppArmadillo.h>
	#include <RcppParallel.h>