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@ -98,8 +98,12 @@ Besides the hello world, I used the same tools on our [BTC Piñata](http://ownme
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[<img src="https://www.cl.cam.ac.uk/~hm519/pinata-bytes.svg" title="Piñata byte sizes" width="700" />](https://www.cl.cam.ac.uk/~hm519/pinata-bytes.svg)
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[<img src="https://www.cl.cam.ac.uk/~hm519/pinata-bytes.svg" title="Piñata byte sizes" width="700" />](https://www.cl.cam.ac.uk/~hm519/pinata-bytes.svg)
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### Conclusion
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OCaml does not yet do dead code elimination, but there [is a PR](https://github.com/ocaml/ocaml/pull/608) based on the flambda middle-end which does so. I haven't yet investigated numbers using that branch.
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OCaml does not yet do dead code elimination, but there [is a PR](https://github.com/ocaml/ocaml/pull/608) based on the flambda middle-end which does so. I haven't yet investigated numbers using that branch.
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Those counting statistics could go into more detail (e.g. using `nm` to count the sizes of concrete symbols - which opens the possibility to see which symbols are present in the objects, but not in the final binary). Also, collecting the numbers for each module in a library would be great to have. In the end, it would be great to easily spot the source fragments which are responsible for a huge binary size (and getting rid of them).
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I'm interested in feedback, either via
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I'm interested in feedback, either via
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[twitter](https://twitter.com/h4nnes) or as an issue on the [data repository on
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[twitter](https://twitter.com/h4nnes) or as an issue on the [data repository on
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GitHub](https://github.com/hannesm/hannes.nqsb.io/issues).
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GitHub](https://github.com/hannesm/hannes.nqsb.io/issues).
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