search for: parallising

..."dprob <- function(x,l,s){",dist.functions[2,][dist.functions[1,]==distn],"(x,l,s)}",sep=""))) I haven't added the options to any of these. The highest time used by any of my functions is 0.05% - the rest is dominated by gc(). There may not be much point in parallising the code until I can reduce the garbage collection. I am not short of memory and would like to disable it fully but despite adding to all routines, I haven't managed to do this yet. Can anyone advise me? And why is the Linux version so much worse than Windows? TIA -- John Logsdon Quante...

A question to all you R-gurus: Can R (or S-plus, for that matter) make efficient use of multiple Intel Processors running under Linux (within the same PC, not over a net)? With the release of the new 2.2 kernel, this would seem a interesting and cost-efficient way of boosting the computational power of Intel/Linux platforms when using R (or S-plus). Thanks for any wise words, Kenneth

A question to all you R-gurus: Can R (or S-plus, for that matter) make efficient use of multiple Intel Processors running under Linux (within the same PC, not over a net)? With the release of the new 2.2 kernel, this would seem a interesting and cost-efficient way of boosting the computational power of Intel/Linux platforms when using R (or S-plus). Thanks for any wise words, Kenneth