From ripley at stats.ox.ac.uk  Sat Mar 17 19:51:41 2012
From: ripley at stats.ox.ac.uk (Prof Brian Ripley)
Date: Sat, 17 Mar 2012 18:51:41 +0000
Subject: [Rd] parApply vs parCapply
In-Reply-To: <20120317180307.ny4zemnj4gwoowww@imp.inserm.fr>
References: <20120317180307.ny4zemnj4gwoowww@imp.inserm.fr>
Message-ID: <4F64DD3D.4090209@stats.ox.ac.uk>

On 17/03/2012 17:03, Ken Knoblauch wrote:
> I've started to use the parallel package and it works very well speeding
> things up. Thank you for making this easy to do.
>
> Should I have expected that parCapply would return a vector
> when parApply returns a matrix?

Maybe: I would have expected so, and AFAICS ?parCapply does not say what 
the value is so it is unspecified.  We probably should document it.

> library(parallel)
>
> x <- matrix(rnorm(8), nc = 2)
> apply(x, 2, function(y) y)
>
> [,1] [,2]
> [1,] -0.9649685 0.91339851
> [2,] -1.4313140 0.13457671
> [3,] 1.0499248 1.58967879
> [4,] -1.8974411 0.03639876
>
> cl <- makeCluster(getOption("cl.cores", detectCores()))
> parApply(cl, x, 2, function(y) y)
>
> [,1] [,2]
> [1,] -0.9649685 0.91339851
> [2,] -1.4313140 0.13457671
> [3,] 1.0499248 1.58967879
> [4,] -1.8974411 0.03639876
>
> parCapply(cl, x, function(y) y)
>
> [1] -0.96496852 -1.43131396 1.04992479 -1.89744113 0.91339851 0.13457671
> [7] 1.58967879 0.03639876
>
> stopCluster(cl)
>
>> sessionInfo()
> R version 2.15.0 beta (2012-03-15 r58760)
> Platform: x86_64-apple-darwin9.8.0/x86_64 (64-bit)
>
> locale:
> [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
>
> attached base packages:
> [1] parallel stats graphics grDevices utils datasets methods
> [8] base
>
> Thank you.
>


-- 
Brian D. Ripley,                  ripley at stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
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[Rd] parApply vs parCapply
Prof Brian Ripley