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More detailed explanation from ChatGPT. As quick estimate you could achieve a >2x speed up using memory mapped files for a typical assembler workload.

https://chatgpt.com/share/68b5e0db-a6d0-8005-9101-d326d2af0a...

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Why would anyone be interested in arguing against a confused AI?

I was trying to provide a more detailed explanation without typing a lot. I studied this problem a lot as PE at vmware.

https://distantprovince.by/posts/its-rude-to-show-ai-output-...

In any case, if you really believe mmap is great for an assembler, then sure, go ahead. But it's not.

I implemented an assembler as part of VMware thinapp and this was big performance boost for me but maybe you have a different experience from your efforts?

Yes. (I'm not going into a pissing contest.)

https://github.com/jclarkcom/assembler-io-benchmark

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