Minizip-ng
Snappy
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| Minizip-ng | Snappy | |
|---|---|---|
| 0 | 5 | |
| 1,071 | 5,780 | |
| 2.3% | 1.3% | |
| 0.0 | 0.0 | |
| 15 days ago | 7 days ago | |
| C | C++ | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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Minizip-ng
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Tracking mentions began in Dec 2020.
Snappy
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Why I enjoy using the Nim programming language at Reddit.
Another example of Nim being really fast is the supersnappy library. This library benchmarks faster than Google’s C or C++ Snappy implementation.
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Stretch iPhone to Its Limit: 2GiB Stable Diffusion Model Runs Locally on Device
It doesn't destroy performance for the simple reason that nowadays memory access has higher latency than pure compute. If you need to use compute to produce some data to be stored in memory, your overall throughput could very well be faster than without compression.
There have been a large amount of innovation on fast compression in recent years. Traditional compression tools like gzip or xz are geared towards higher compression ratio, but memory compression tends to favor speed. Check out those algorithms:
* lz4: https://lz4.github.io/lz4/
* Google's snappy: https://github.com/google/snappy
* Facebook's zstd in fast mode: http://facebook.github.io/zstd/#benchmarks
- What's the best way to compress strings?
What are some alternatives?
zstd - Zstandard - Fast real-time compression algorithm
LZ4 - Extremely Fast Compression algorithm
brotli - Brotli compression format
ZLib - A massively spiffy yet delicately unobtrusive compression library.
zlib-ng - zlib replacement with optimizations for "next generation" systems.
LZMA - (Unofficial) Git mirror of LZMA SDK releases
tiny_jpeg.h - Single header lib for JPEG encoding. Public domain. C99. stb style.