[R] Linux Standalone Server Suggestions for R
whit at twinfieldscapital.com
Thu Sep 1 04:27:15 CEST 2005
you can test out a live PPC 64 bit system here:
I have successfully built R in my home dir and compiled a few packages for it.
Here are the machines available:
Universität Augsburg Peking University
Server OpenPower 720 OpenPower 720
Equipment 4-Way POWER5 4-Way POWER5
Memory 8GB 16GB
Installation Debian SUSE Enterprise 9
I think the 16GB solution is approaching or beyond your budget.
From: r-help-bounces at stat.math.ethz.ch [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Jia-Shing So
Sent: Wednesday, August 31, 2005 10:03 PM
To: r-help at stat.math.ethz.ch
Cc: Phuoc Hong
Subject: [R] Linux Standalone Server Suggestions for R
My group is looking for any suggestions on what to purchase to
achieve the most powerful number crunching system that $50k can buy.
The main application that will be used is R so input on what hardware benefits R most will be appreciated. The requirements are that it be a single standalone server (i.e. not a cluster solution), and it that must be able to run unix/linux. If anyone has any experience/ suggestions regarding the following questions that would also be greatly appreciated.
AMD vs Intel chips, especially 64-bit versions of the two?
Using Itanium/Opterons and if so how much of a performance boost did you achieve vs other 64-bit chip sets?
Also, does anyone know if there is an upper thresh hold on much memory R can use?
Thanks in advance for any help and suggestions,
Biostatistics and Bioinformatics Lab
University of California, San Diego
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