> Thanks for the information. I would like to set up RPi cluster for some > bioinformatics jobs like sequences alignment and sequences operations.
you really need to look at where your code is spending its time. the seq stuff I see is quite IO-intensive, sometimes memory-intensive. > And I would use OGS(Open Grid Scheduler) as DRM to manage those nodes. I it hardly matters. for non-shared clusters, full-on scheduers are massive overkill. > do know that ARM processors cannot provide powerful FP computing so I'm let's be honest: they do not provide high values of any metric. they are relatively slow in any performance metric, low memory, normally combined with low-performance IO. low power as well, of course, which is their reason-for-existence. > One more thing, I would like to know what field is proper for ARM > processors. uh, the field where they are being used: embedded mobile. the point is that mobile implies dramatic power sensitivity. to some degree, there are some datacenter-ish workloads that can use ARM effectively - certain kinds of large-scale web-related in-memory servers. but it's unclear how much of that is happening yet, since there are infrastructure/packaging issues. _______________________________________________ Beowulf mailing list, Beowulf@beowulf.org sponsored by Penguin Computing To change your subscription (digest mode or unsubscribe) visit http://www.beowulf.org/mailman/listinfo/beowulf
