Difference between revisions of "Natural 2D visualization of 1D bit data"
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| + | * [[A more natural data representation for array and tensor datastructures]] {{wikitodo|Make that page and link Conal Elliots paper. And back-link here.}} | ||
* [[A true but useless theory of everything]] | * [[A true but useless theory of everything]] | ||
* [[The program of all programs (code)]] | * [[The program of all programs (code)]] | ||
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| + | * 2021 [https://github.com/conal/talk-2021-can-tensor-programming-be-liberated Can Tensor Programming Be Liberated from the Fortran Data Paradigm?] (github shownotes) | ||
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Conal Elliott (draft 2018) – "Data-Parallel Programming without Arrays" | Conal Elliott (draft 2018) – "Data-Parallel Programming without Arrays" | ||
* http://conal.net/papers/data-parallel-programming-without-arrays/ | * http://conal.net/papers/data-parallel-programming-without-arrays/ | ||
Latest revision as of 11:11, 5 September 2024
Natural 2D visualization of 1D bit data.
Question: How can a one dimensional stream of data be displayed as 2D visual graphic in the most natural way
when there is no information at all provided about correct interpretation?
Specifically:
How could the progression of evaluation of an untyped lambda expression be
most naturally mapped to a black and white pixels 2D visualization?
The right approach cannot involve any 2D array type interpretation since this introduces
an arbitrary line-end wraparound length.
Rather one wants to use an in-an-obvious-natural-way serializable representation of 2D bit data that
does not contain an arbitrary line-end wraparound length.
Tries/MemoTries might do the trick.
In a sequence of evaluations of a lambda calculus expressions much of the structure often stays static and unchanged.
So one might want to visualize the differences instead.
Related
- A more natural data representation for array and tensor datastructures (wiki-TODO: Make that page and link Conal Elliots paper. And back-link here.)
- A true but useless theory of everything
- The program of all programs (code)
- Fractals
Related
- 2021 Can Tensor Programming Be Liberated from the Fortran Data Paradigm? (github shownotes)
Conal Elliott (draft 2018) – "Data-Parallel Programming without Arrays"
- http://conal.net/papers/data-parallel-programming-without-arrays/
- http://conal.net/papers/data-parallel-programming-without-arrays/data-parallel-programming-without-arrays.pdf
Trie datastructure
- Wikipedia: https://de.wikipedia.org/wiki/Trie
- Haskell library MemoTrie: https://hackage.haskell.org/package/MemoTrie
