Path: utzoo!mnetor!tmsoft!torsqnt!news-server.csri.toronto.edu!cs.utexas.edu!wuarchive!emory!hubcap!tve%allspice.Berkeley.EDU From: tve%allspice.Berkeley.EDU@ucbvax.Berkeley.EDU (Thorsten von Eicken) Newsgroups: comp.parallel Subject: Re: NCUBE info sought Message-ID: <12383@hubcap.clemson.edu> Date: 21 Dec 90 15:15:02 GMT References: <12372@hubcap.clemson.edu> Sender: fpst@hubcap.clemson.edu Reply-To: tve%allspice.Berkeley.EDU@ucbvax.Berkeley.EDU (Thorsten von Eicken) Organization: University of California, Berkeley Lines: 22 Approved: parallel@hubcap.clemson.edu In article <12372@hubcap.clemson.edu> you write: >We have a line on a cheap 1K NCUBE. I am soliciting experiences from >current or past NCUBE owners. Specifically, how much does it cost to >maintain, is it more trouble than it's worth, etc. Please mail your >comments to me (weltyc@cs.rpi.edu) rather than posting. Alos, if >anyone knows of a better forum for such a query, I'd apperciate >knowing. Is is an nCUBE/ten or the new nCUBE/2? The latter I doubt, so must be the former. I think that if you can do research on 1000 nodes, you're entering the interesting game, not like people who do research in massively parallel systems and who show statistics with 32 processors. However, the old nCUBE was quite unbalanced, in particular floating-point was slow, which made it a bit too easy to hide the network cost (overlap the network with a few floting-point ops). At least all this is what I hear from others having used the machine (I'm using an nCUBE/2). The point I'm really trying to make here is that you might bias your research strategy towards this `broken' machine and end up with results that don't mean anything on a `real' machine. Sorry, can't tell you 'bout maintenance costs... - Thorsten (tve@sprite.berkeley.edu)