Here's another datapoint using the multicore package -- which is what
the foreach/doMC combo uses internally:
I halved your A value to 50,000 because I was getting impatient :-)
A=5
randvalues <- abs(rnorm(A))
minfn <- function( x, i ) { log(abs(x))+x^3+i/A+randvalues[i] }
system.time(a1 <- l
On 02.07.2011 20:42, ivo welch wrote:
hi uwe--I did not know what snow was. from my 1 minute reading, it
seems like a much more involved setup that is much more flexible after
the setup cost has been incurred (specifically, allowing use of many
machines).
the attractiveness of the doMC/foreac
hi uwe--I did not know what snow was. from my 1 minute reading, it
seems like a much more involved setup that is much more flexible after
the setup cost has been incurred (specifically, allowing use of many
machines).
the attractiveness of the doMC/foreach framework is its simplicity of
installat
On 02.07.2011 20:04, ivo welch wrote:
thank you, uwe. this is a little disappointing. parallel processing
for embarrassingly simple parallel operations--those needing no
communication---should be feasible if the thread is not always created
and released, but held. is there light-weight paral
thank you, uwe. this is a little disappointing. parallel processing
for embarrassingly simple parallel operations--those needing no
communication---should be feasible if the thread is not always created
and released, but held. is there light-weight parallel processing
that could facilitate this?
On 02.07.2011 19:32, ivo welch wrote:
dear R experts---
I am experimenting with multicore processing, so far with pretty
disappointing results. Here is my simple example:
A<- 10
randvalues<- abs(rnorm(A))
minfn<- function( x, i ) { log(abs(x))+x^3+i/A+randvalues[i] } ## an
arbitrary fun
dear R experts---
I am experimenting with multicore processing, so far with pretty
disappointing results. Here is my simple example:
A <- 10
randvalues <- abs(rnorm(A))
minfn <- function( x, i ) { log(abs(x))+x^3+i/A+randvalues[i] } ## an
arbitrary function
ARGV <- commandArgs(trailingOnly
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