you can test out a live PPC 64 bit system here: http://www.openpowerproject.org/us/signup.php
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. -----Original Message----- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of Jia-Shing So Sent: Wednesday, August 31, 2005 10:03 PM To: r-help@stat.math.ethz.ch Cc: Phuoc Hong Subject: [R] Linux Standalone Server Suggestions for R Hi All, 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, Jia-Shing So Programmer Analyst Biostatistics and Bioinformatics Lab University of California, San Diego ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html