Wow! I didn't know that. Very cool.
Anyway, Ross, I would get some testing time on a cluster from one of the vendors and test your code with some dummy data sets. Where I work, we talk to the vendors, get them to sign an NDA (to cover our proprietary code) and then test on their machines. A number of companies such as Racksaver, IBM, Appro have been pretty good about getting us testing time on their clusters. Also, AMD is setting up their Opteron cluster test center. It should be partially up, so you can surf their website and look for how you request testing time. Be careful of companies that want to do the testing for you. Somehow I just don't really trust them. A couple of companies wanted to do that for us, but I was never really sure about the results. I'd prefer to do the testing myself.
Good luck!
Jeff
"Jeffrey B. Layton" <[EMAIL PROTECTED]> writes:
Ross Boylan wrote:
Are the code MPI at all? I've only looked at R in passingAlthough this list seems to have been quiet recently, perhaps there are some folks out there with wisdom to share. I didn't turn up much in the archives.
The group I am in is about to purchase a cluster. If anyone on this list has any advice on what type of hardware (or software) would be best, I'd appreciate it.
We will have two broad types of uses: simulation studies for epidemiology (with people or cases as the units) and genetic and protein studies, with which I am less familiar. The simulation studies are likely to make heavy use of R. I suspect that the two uses have much different characteristics, e.g., in terms of the size of the datasets to manipulate and the best tradeoffs outlined below.
so I don't know if it's parallel or not.
R can use LAM-MPI, sockets, or PVM to pass/distribute jobs to other R/C/Fortran/etc message-passing enabled processes.
best, -tony
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