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StringZilla 4.0! #201

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StringZilla 4.0! #201

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ashvardanian
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@ashvardanian ashvardanian commented Dec 7, 2024

This PR entirely refactors the codebase and separates the single-header implementation into separate headers. Moreover, it brings faster kernels for:

  • Sorting of string sequences and pointer-sized integers,
  • Levenshtein edit distances for DNA alignment and UTF-8 fuzzy matching,
  • Needleman-Wunsch pairwise global alignment for proteins,
  • AES-based hashing functions,
  • Multi-pattern search,

And more community contributions:

Why Split the Files? Matching SimSIMD Design

Sadly, most of the modern software development tooling stinks. VS Code is just as slow and unresponsive as the older Atom and the other web-based technologies, while LSP implementations for C++ are equally slow and completely mess up code highlighting for files over 5,000 Lines Of Code (LOCs). So, I've unbundled the single-header solution into multiple headers, similar to SimSIMD.

Also, similar to SimSIMD, CPU feature detection has been reworked to separate serial implementations, Haswell, Skylake, Ice Lake, NEON, and SVE.

Faster Sorting

Our old algorithm didn't perform any memory allocations and tried to fit too much into the provided buffers. The new breaking change in the API allows passing a memory allocator, making the implementation more flexible. It now works fine on 32-bit systems as well.

The new serial algorithm is often 5x faster than the std::sort of C++ Standard Templates Library for a vector of strings. It's also often 10x faster than the qsort_r in the GNU C library. There are even faster versions available for Ice Lake CPUs with AVX-512 and Arm CPUs with SVE.

Faster Sequence Alignment & Scoring

Faster Hashing Algorithms

Multi-Pattern Search

ashvardanian and others added 30 commits November 30, 2024 17:39
`sz_checksum`, `sz_hash`,
`sz_edit_distance_utf8`,
`sz_edit_distance_bounded`,
`sz_edit_distance_utf8_bounded`.
Benchmarks on Sapphire Rapids suggest:

- For 8.3 M words in Leipzig1M.txt of length ~5
-- `std::sort` is 2 seconds
-- `sz_sort_serial` is 0.6 seconds
-- `qsort_r` is 3.2 seconds

- For 268 M words in XLSum.csv of length ~8
-- `std::sort` is 147 seconds
-- `sz_sort_serial` is 29 seconds
-- `qsort_r` is 192 seconds
Makes it easier to differentiate stable `sz_msort`
This huge commit brings many new sorting APIs,
as well as a new naming convention to differentiate
inplace sorting helpers from "argsort" operations.

Also refactors the testing and micro-benchmarking
helpers.
It yields no noticeable performance improvements
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4 participants