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Ask HN: In which types of software is raw computational power the bottleneck?
10 points by cloogshicer on June 22, 2021 | hide | past | favorite | 8 comments
Things that come to my mind:

- ML/AI

- Games (but only some)

- Scientific simulations

Any other ideas?



Anything that involves solving the Navier-Stokes equations, e.g., weather forecast, hurricane prediction


Optimisation problems (pairing/rostering).


- Video processing

- Ray tracing

- Data mining

- Data compression

- Financial market modeling

- Any kind of large-scale optimization


Agreed, financial modelling for sure. There is a breakpoint in terms of development cost and velocity when data exploration / processing can be done on a single machine vs. needing to scale out across multiple machines. I've had a lot of success optimizing my data oriented projects to being able to run on a single beefy computer.


Games are kinda, but in terms of development it's definitely bound by creativity and art.


Crypto right?


Cryptography - Not really, encoding data can happen at quite high speed these days.

Cryptocurrency - "Proof of Work" will ALWAYS be a hard problem, the faster you make your solved, the harder the problem scales.


Really? How so? (Genuine question, not being snarky)




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