Date: Thu, 2 Dec 2004 22:02:56 -0800 From: Steve Kargl <sgk@troutmask.apl.washington.edu> To: Tommi L?tti <sty@iki.fi> Cc: FreeBSD-amd64@freebsd.org Subject: Re: OT Re: AMD64- Solutions Message-ID: <20041203060256.GA16165@troutmask.apl.washington.edu> In-Reply-To: <41AFF4BF.7070503@iki.fi> References: <conljc$1pep$1@FreeBSD.csie.NCTU.edu.tw> <20041203011408.163FE106C28@FreeBSD.csie.NCTU.edu.tw> <20041203045849.GA15850@troutmask.apl.washington.edu> <41AFF4BF.7070503@iki.fi>
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On Fri, Dec 03, 2004 at 02:08:15PM +0900, Tommi L?tti wrote: > Steve Kargl wrote: > >As far as my jobs, I run numerical simulations of heat > >transfer in biological tissues and nonlinear acoustics. > >The numerical techniques are standard and hybrid finite > >difference solutions to coupled PDEs. I can easily > >consume the 16 GB if not more memory as I add more > >realistic physics to the problem. > > Interesting. Are you using a home-brewn software for analysis or are you > running a commercial package? I use homebrewed in that I write all my own numerical codes in Fortran 90/95. I can profile the code and identify numerical and time consuming bottlenecks where I can spend my time optimizing the algorithms. I have found that I simply cannot get any performance out of any matlab solution (not to mention that matlab restricts one to at most 2 GB of memory). > I'm doing some electrophysiology research (in vivo and in vitro) and > we're contemplating currently using some Matlab and/or Labview for > analyzis. The Lynx produces some 64 channels of data and one run can > easily amount a couple of gigs worth of files... which would easily > warrant the use of some 2-way+ configurations. Although matlab doesn't > thread... If you already have matlab code in house, then check out octave. You can find it in ports/math/octave. I have been able to run most matlab codes given to me by others with little or no changes. octave actually uses the system's memory better than matlab can. -- Steve
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