If you can restate your problem in the form of apply family, you can use
`snowfall` package to paralellize the task.

Cheers,
Roman


On Wed, Jan 8, 2014 at 8:36 AM, Camilo Mora <cmora@dal.ca> wrote:

> Hi everyone,
>
> I am using the package "raster" to interpolate a large number of rasters
> (~1million) of different resolutions to a unique 1degree resolution grid
> and wonder if you know if it is possible to do this in parallel computer?.
>
> My code (example below) works like a charm but it will take 30 days to
> process all the rasters. Sadly, the process only uses one core of my
> computer. I wonder if there is a way to run this code (example below) in
> parallel computer?.
>
> Thanks,
>
> Camilo
>
> ####TEST CODE######
> library (raster)
>
> #creates 3 test rasters
> a <- raster(nrow=3, ncol=3)
> a[] <- 1:9
>
> b <- raster(nrow=3, ncol=3)
> b[] <- 10:18
>
> c <- raster(nrow=3, ncol=3)
> c[] <- 19:27
>
> #concatenates the rasters
> d<-brick(a,b,c)
>
> #creates a raster at a different resolution
> s <- raster(nrow=10, ncol=10)
>
> #interpolates data from the brick to the new resolution
> s <- resample(d, s, method='bilinear')
>
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>



-- 
In God we trust, all others bring data.

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