LZ4
lzbench
LZ4 | lzbench | |
---|---|---|
21 | 9 | |
9,234 | 842 | |
1.1% | - | |
9.5 | 1.9 | |
2 days ago | about 1 month ago | |
C | C | |
GNU General Public License v3.0 or later | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
LZ4
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Number sizes for LZ77 compression
LZ4 is a bit more complicated, but seems faster: https://github.com/lz4/lz4/blob/dev/doc/lz4_Block_format.md
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Rsyncing 20TB locally
According to these https://github.com/lz4/lz4 values you need around ten (10) quite modern cores in parallel to accomplish around 8GB/s.
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An Intro to Data Compression
The popular NoSQL database Cassandra utilizes a compression algorithm called LZ4 to reduce the footprint of data at rest. LZ4 is characterized by very fast compression speed at the cost of a higher compression ratio. This is a design choice that allows Cassandra to maintain high write throughput while also benefiting from compression in some capacity.
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Micron Unveils 24GB and 48GB DDR5 Memory Modules | AMD EXPO and Intel XMP 3.0 compatible
Yeah, sure, when you have monster core counts. on regular systems, not so much, here's from their own github page. it achieves, eh, 5GB/s on memory to memory transfers, i.e. best case scenario. so, uh, no? i'm not even sure it's any better than the CPU decompressor one Nvidia used.
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zstd
> The downside of lz4 is that it can’t be configured to run at higher & slower compression ratios.
lz4 has some level of configurability? https://github.com/lz4/lz4/blob/v1.9.4/lib/lz4frame.h#L194
There's also LZ4_HC.
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Best archival/compression format for whole hard drives
Since nobody mentioned it, I'll add lz4 (https://github.com/lz4/lz4).
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I'm new to this
Get your bootloader unlocked via Download mode and then obtain your stock firmware, preferably for your current region https://samfw.com (Download mode: CARRIER_CODE). Get the boot image from AP with 7zip, unpack from LZ4 with https://github.com/lz4/lz4/releases (drag and drop), patch with Magisk https://github.com/topjohnwu/magisk/releases/latest, grab the new image, name it "boot.img" and pack it into a .tar with 7zip and flash to AP with odin https://odindownload.com
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An efficient image format for SDL
After some investigations and experiments, I found out that it was the PNG compression (well, decompression I should say) that took a while. So I've made some experiments using the LZ4 compression library, which is focused on decompression speed, and it turned out to be an excellent solution!
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how to root Samsung galaxy note 10 plus 5g(SM-N976B
Root with magisk: whether you use OneUI ≤3 or 4, patch the specific image needed for it (pre 4: boot, after 4: recovery) and flash it to the device. Boot it and enjoy root. https://github.com/lz4/lz4/releases can help extracting it from the AP tarball.
lzbench
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Chrome Feature: ZSTD Content-Encoding
For a benchmark on a standard set: https://github.com/inikep/lzbench/blob/master/lzbench18_sort...
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My experience with btrfs so far
Do not re-compress your file into level 3. The decompression speed is largely the same between level 3 and 8, so you just wasting CPU doing nothing and making your files larger. See the bottom of the README: https://github.com/inikep/lzbench
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Rsyncing 20TB locally
You can crunch the numbers yourself with this: https://github.com/inikep/lzbench
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Lizard – efficient compression with fast decompression
Note that a benchmark in the README refers to zstd 1.1.1 and brotli 0.5.2, which are very old (the current versions are zstd 1.5.2 and brotli 1.0.9). The same author maintains lzbench [1], which is more or less up-to-date.
[1] https://github.com/inikep/lzbench
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Zip-Ada development on LZMA compression
u/zertillon, maybe you could use lzbench, so you could compare it with a lot of other compression libraries. The problem is that it requires including the library in a single executable, so it might be more difficult to integrate than a C library (the benchmark is in C++).
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Is there any site that lists the current SOTA for lossless compression?
Still updated: https://github.com/inikep/lzbench
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will ZSTD impact L2ARC performance?
If you want to know the size a VM will compress to,. Zstd can be installed on any machine, so you can experiment easily. You can even run the benchmark https://github.com/inikep/lzbench
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Save disk space for your games: BTRFS filesystem compression as alternative to CompactGUI on Linux
Are you sure about that? That's not what I see on https://github.com/inikep/lzbench and I tried to run that myself, although I have no idea which lzo to try so I went with what seemed the fastest...
What are some alternatives?
zstd - Zstandard - Fast real-time compression algorithm
7-Zip-zstd - 7-Zip with support for Brotli, Fast-LZMA2, Lizard, LZ4, LZ5 and Zstandard
Snappy - A fast compressor/decompressor
CompactGUI - Transparently compress active games and programs using Windows 10/11 APIs [Moved to: https://github.com/IridiumIO/CompactGUI]
brotli - Brotli compression format
CompactGUI - Transparently compress active games and programs using Windows 10/11 APIs
LZMA - (Unofficial) Git mirror of LZMA SDK releases
11Zip - Dead simple zipping / unzipping C++ Lib
ZLib - A massively spiffy yet delicately unobtrusive compression library.
qemu
zip-ada - Zip-Ada: a standalone, portable Ada library for .zip archives. Includes LZMA byte stream encoder & decoder pair.