[dekhn]

I think this is a pretty key point- the majority of users haven't been well-served by large-scale compute. I've heard from a number of folks in genomics that all they need is a faster way to invert a "big" matrix- and when they show me the matrix, it's tiny compared to what state of the art supercomputers are working on.

[ViralBShah]

Ask them to download Julia and try it, and file an issue if it is not fast enough. We try to have the latest available.

See for example: https://github.com/JuliaLinearAlgebra/RecursiveFactorization...

[hpcjoe]

One of the first questions I ask when discussing issues like this, is to define "big" and "small" for me. Every group has their own set of definitions, and the differences can result in interesting conversations.

[adgjlsfhk1]

That's especially funny because inverting a matrix is almost never what you want to do anyway.

[dekhn]

Yeah, in retrospect, I'm sure what they really wanted was to diagonalize the matrix.