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One totally uninformed question:

Do you think this could be solved with stacks of Parallela boards?

Just curious, because that's kind of like the target market for the boards right? Cheap , multi-core processing?

Technically: sure. But I think you are touching some different skill sets going on a continuum from (1) 'sequential simulations on regular machine' to (2) 'parallel simulation on very high end, regular machine', all the way to (3) 'massively parallel on non-regular machine'. From (1) to (2) you can manage with existing staff and limited time. From (2) to (3) is quite the change in mindset, training et cetera.

I guess that makes sense. It does seem like a more exotic solution. Especially considering the amount of different skills that whoever is building such system would need to have.

Maybe in some years we'll see if the Parallela paradigm takes off and then maybe there will be more quants out there capable of using such boards.

That's one of the problems we're trying to solve with Ufora.

Because it's so much more difficult to write "high performance parallel simulations", we want to make it so you can write whatever code you want, and let the platform figure out how to make it fast, parallel, and distributed.

I'd look at checking if a GPU is a good match for the problem before thinking of even more exotic solutions.

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