All FreeNX allows you to do is access a regular linux machine using X
over SSH as opposed to ssh'ing in, redirecting the X-display back to
your local machine (running a xserver locally)..
You can install R on the machine(s) just as you would normally, and if
the machines are in some sort of clustered environment, you could setup
the packages specifically available on linux for R to do that (snow,
multicore, etc...)
Check out FreeNX here http://freenx.berlios.de/
hth
-c
Murray Jorgensen wrote:
Hi all,
I have just found out that the machine learning group in our Faculty has
a lot of spare capacity on their FreeNX servers. I do not know a lot
about these beasts but I understand that they are a free version of
something produced by a firm called "NoMachine".
They are designed for executing parallel algorithms and I thought that
they might be of use in a project of mine comparing different
model-fitting algorithms from the point of view of sensitivity to
starting values.
Anyway before revealing my near-total ignorance to my computer science
colleagues I thought I would ask if any of my fellow R users have any
experience with these things and possibly advice to offer. The CS people
are probably using the servers in conjunction with Java or C++ and I
could possibly use the latter of these. I wondered, though, if R could
be used directly with such hardware and if so, how the parallelizing
would be handled.
Regards, Murray Jorgensen
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