A young computer scientist and two colleagues show that searches within data structures called hash tables can be much faster than previously deemed possible.
It’s really not. Just because they describe their algorithm in computer science terms in the paper, doesn’t mean it’s theoretical. Their elastic and funnel examples are very clear and pretty simple and can be implemented in any language you like…
It’s not a lot of code to make a hash table, it’s a common first year computer science topic.
What’s interesting about this isn’t that it’s a complex theoretical thing, it’s that it’s a simple undergrad topic that everybody thought was optimised to a point where it couldn’t be improved.
When you have a paper that’s pretty much a succession of “Lemma:” “Proof:” “Theorem:” and “Proof:” and no benchmark chart then yes it’s a theoretical one.
It’s really not. Just because they describe their algorithm in computer science terms in the paper, doesn’t mean it’s theoretical. Their elastic and funnel examples are very clear and pretty simple and can be implemented in any language you like…
Here’s a simple python example implementation I found in 2 seconds of searching: https://github.com/sternma/optopenhash/
Here’s a rust crate version of the elastic hash: https://github.com/cowang4/elastic_hash_rs
It’s not a lot of code to make a hash table, it’s a common first year computer science topic.
What’s interesting about this isn’t that it’s a complex theoretical thing, it’s that it’s a simple undergrad topic that everybody thought was optimised to a point where it couldn’t be improved.
When you have a paper that’s pretty much a succession of “Lemma:” “Proof:” “Theorem:” and “Proof:” and no benchmark chart then yes it’s a theoretical one.