The real meat of the story is in the referenced blog post: https://blog.codingconfessions.com/p/how-unix-spell-ran-in-64kb-ram
TL;DR
If you’re short on time, here’s the key engineering story:
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McIlroy’s first innovation was a clever linguistics-based stemming algorithm that reduced the dictionary to just 25,000 words while improving accuracy.
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For fast lookups, he initially used a Bloom filter—perhaps one of its first production uses. Interestingly, Dennis Ritchie provided the implementation. They tuned it to have such a low false positive rate that they could skip actual dictionary lookups.
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When the dictionary grew to 30,000 words, the Bloom filter approach became impractical, leading to innovative hash compression techniques.
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They computed that 27-bit hash codes would keep collision probability acceptably low, but needed compression.
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McIlroy’s solution was to store differences between sorted hash codes, after discovering these differences followed a geometric distribution.
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Using Golomb’s code, a compression scheme designed for geometric distributions, he achieved 13.60 bits per word—remarkably close to the theoretical minimum of 13.57 bits.
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Finally, he partitioned the compressed data to speed up lookups, trading a small memory increase (final size ~14 bits per word) for significantly faster performance.
For anyone struggling, lemmy web interface added the colon into the URL for the blog post link. Here’s a clickable version without the colon:
https://blog.codingconfessions.com/p/how-unix-spell-ran-in-64kb-ram
Thanks, and sorry about that! I removed the colon from near my URL now, just in case.
Thank you
The blog post is an incredible read.
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Long article for one sentence of trivia and no info on the algo itself. The death of the internet is upon us.
Doesn’t even name the algorithm, and somehow spells LZMA wrong, despite just having written it out longhand.
Well, it’s PC Gamer.
[edit] I still can’t figure out if they’re referencing LZW encoding… the L and Z being the same Lempel and Ziv from LZMA, but with Welch having a different solution for the rest of the algorithm due to size constraints.
Probably mostly AI written.
I’d like to imagine they took the short trivia fact and applied the inverse of the compression algorithm to bloat it into something that satisfied the editor.
The blog post it links to has all the info, but it is more of a series of changes to the dictionary instead of 1 set thing
!lemmysilver
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What’s the Weissman score?
So it’s gonna be a dick measuring contest?
I’ll measure the most.
If it aint broke, don’t fix it.
Only 1 GiB of RAM? Moooom!
Shut up Johnny, Voyager’s still out there with way less.Yeah, but I’ve not got two hundred Firefox tabs open on Voyager.
