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Could you please clarify your last paragraph? You can definitely "do software on a GPU," and GPUs have as much error correction as anything else.



Read this comment:

https://news.ycombinator.com/item?id=16436487

You can do software on a GPU, but you cannot have good guarantees.


I don't know about AMD, but NVIDIA GPUs also have internal protection. Tesla and Quadro GPUs have had internal error detection on registers and cache since Fermi at least.

But this is totally irrelevant anyway, the comparison we started with is to an analog alternative. Anything analog will have strictly worse noise and error problems. In neural networks, errors are probably not even a problem for analog implementation, so they definitely aren't a problem for GPU implementations.


I was not talking about neuron networks.

But ok, I was not aware that gpu had error correction, how much additional transistor does it take?


Agreed, the last paragraph makes no sense.




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