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> From: David M Smith [mailto:da...@revolution-computing.com]
> Sent: Thursday, April 23, 2009 6:05 PM
> To: Jason Liao
> Cc: r-help@r-project.org
> Subject: Re: [R] My surprising experience in trying out REvolution's R
>
> We've taken a look at this in a bit more detail;
.
Jason
-Original Message-
From: David M Smith [mailto:da...@revolution-computing.com]
Sent: Thursday, April 23, 2009 6:05 PM
To: Jason Liao
Cc: r-help@r-project.org
Subject: Re: [R] My surprising experience in trying out REvolution's R
We've taken a look at this in a bit more deta
We've taken a look at this in a bit more detail; it's a very
interesting example. Although the code uses several functions that
exploit the parallel processing in REvolution R (notably %*% and
chol), this was one of those situations where the overheads of
threading pretty much balanced any perform
> First, the regular R 1.9. It takes 2 minutes and 6 seconds, CPU usage
> 50%
>
> Next, REvolution's R. It takes 2 minutes and 10 seconds, CPU usage 100%.
>
> In other words, REvolution's R consumes double the CPU with slightly
> less speed.
The fact that it is the same time with only the 50%/10
Jason Liao hes.hmc.psu.edu> writes:
> I care a lot about R's speed. So I decided to give REvolution's R
> (http://revolution-computing.com/) a try, which bills itself as an
> optimized R. Note that I used the free version.
>
> My machine is a Intel core 2 duo under Windows XP professional. The c
That's our guess too. We're running some tests now on the code to see
what's going on, and it's entirely possible the performance gains are
a function of the problem size, so we're testing that too. Changes in
R between 2.7.2 (upon which REvolution R is currently based) and 2.9.0
are also a confou
Sent: Tuesday, April 21, 2009 7:26 AM
To: r-help@r-project.org
Subject: [R] My surprising experience in trying out REvolution's R
I care a lot about R's speed. So I decided to give REvolution's R
(http://revolution-computing.com/) a try, which bills itself as an
optimized R. Note
I care a lot about R's speed. So I decided to give REvolution's R
(http://revolution-computing.com/) a try, which bills itself as an
optimized R. Note that I used the free version.
My machine is a Intel core 2 duo under Windows XP professional. The code
I run is in the end of this post.
First,
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