Introduction to High-Performance Scientific Computing

Re:Introduction to High-Performance Scientific Computing by neutronicus on Tuesday January 24, 2017 @08:06AM (#13470981)

It really depends on the size and the age of the code you're working with. We, for instance, use a code package that was born in 2005 (and continuously developed since), so it lives in SVN. For all the heavy-duty scientific visualization, we use VisIt [1], because the size and dimensionality of the data require a special-purpose visualization package.

To me, "gnuplot or matplotlib" is a little beside the point - if we're using one of those it's for something quick 'n dirty, or for a relatively simple plot of summary data.

[1] https://wci.llnl.gov/simulation/computer-codes/visit

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Re:Introduction to High-Performance Scientific Computing by acidburnNSA on Tuesday January 24, 2017 @10:48AM (#13472258)

I've tried using VisIt (and Paraview) a few times but have never really dedicated myself to it. It looks so nice and seems so powerful. I just haven't been able to get it working in a way that allows me to quickly and quantitatively (with data labels) explore multiple axial levels of a nuclear reactor state and step through time to see how the shuffling algorithms did and whatnot so I keep sticking to this specialized .NET thing an intern wrote 7 years ago. I'm sure VisIt can do it, I think I just need an expert to teach me or something.

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