Greg Twyford wrote: > Ian Cheong wrote: >> http://www.clusterworld.com/value_cluster.shtml >> > > Ian, > > I think you've missed Summernats. > > Greg
I agree this is overkill for even the most CPU-intensive data mining of data from a single practice, but might not be overkill for analysis of collated data from hundreds or thousands of practices collected over a long period. All we need are some widely used data standards... Actually, you also need to use analytical techniques which are readily parallelisable, and only some are. However, a Web-based open source exploratory data analysis engine which we have been working on is potentially very parallelisable - preliminary work on a compute cluster at ANU several years ago yielded promising results. However, even on a single CPU, it works in real-time with data sets of up to 10 or 15 million rows. Tim C _______________________________________________ Gpcg_talk mailing list [email protected] http://ozdocit.org/cgi-bin/mailman/listinfo/gpcg_talk
