| ▲ | baq 5 hours ago |
| Amadahl’s law dictates it’s approximately always better (as in, more efficient computationally) to have one super fast thing than many slower things doing the same job in parallel. |
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| ▲ | xyzsparetimexyz 5 hours ago | parent | next [-] |
| Yes. but for embarrassingly parallel tasks it barely matters. |
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| ▲ | modeless 4 hours ago | parent [-] | | The task the majority of people here care about (and which makes up a huge part of AI lab revenue these days) is collaborative coding with a single human which is not embarrassingly parallel. | | |
| ▲ | xyzsparetimexyz 3 hours ago | parent [-] | | I am aware. I was talking about HLE. Talking about how fast you can run through HLE in a serial manner is like talking about how how fast your non-simd single threaded cpu ray tracer is. Its simply not how any sensible person would tackle this problem. | | |
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| ▲ | moralestapia 5 hours ago | parent | prev [-] |
| Such a deep and smart insight. But why is that important if they're measuring time? |