LZ4 VS zlib-ng

According to these https://github.com/lz4/lz4 values you need around ten (10) quite modern cores in parallel to accomplish around 8GB/s.

> 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.

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

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!

If anyone just cares for speed instead of compression I’d recommend lz4 [1]. I only recently started using it. Its speed is almost comparable to memcpy.

[1] https://github.com/lz4/lz4

E: Realtime compression (A good compression library like Zstandard can make a game less than half the size while taking a tiny amount of CPU power when loading stuff. I think thats a pretty worthwhile trade.) (ZSTD github) (LZ4 github)

lz4 for maximum decompression speed, for data that is often read but rarely written

Getting lost in material models is tempting. But, at this point you are overdue for working on your own asset pipeline. glTF is great. But, you should learn how to do it yourself. The hardest part will be reading source asset files. The FBX SDK is painful. Assimp isn't great either. Writing your own exporter to your own intermediate text format from Maya or Blender would be good if you are up for it. From whatever source, make your own archive format and binary formats for meshes, animations, textures and scenes. Use https://github.com/lz4/lz4 for compression. You should be able to decompress a list of assets into a big linear array and use them right there with just a bit of pointer fix-up. Minimize the amount of memory you have to touch from start to finish. Data that is going to the GPU (textures, vertex/index buffers) should decompress straight into mapped buffers for fast uploads.

I'm not a fan of the stacked bar charts, I like the table of data for "Benchmarks" on the github source page: https://github.com/lz4/lz4

It makes it very clear where LZ4 fits into comparisons with compression speed, decompression speed and compression ratio

It is much faster than miniz_oxide and all other safe-Rust implementations, and consistently beats even Zlib. The performance is roughly on par with zlib-ng - sometimes faster, sometimes slower. It is not (yet) as fast as the original libdeflate in C.

Zlib-ng doesn't contain the same code, but it appears that their equivalent inflate() when used with their inflateGetHeader() implementation was affected by a similar problem: https://github.com/zlib-ng/zlib-ng/pull/1328

Also similarly, most client code will be unaffected because `state->head` will be NULL, because they (most client code) won't have used inflateGetHeader() at all.

I wonder if zlib-ng would make a difference, since it has a lot of optimizations for modern hardware.

https://github.com/zlib-ng/zlib-ng/discussions/871

zlib-ng also has adler32 implementations optimized for various architectures: https://github.com/zlib-ng/zlib-ng

Might be interesting to benchmark their implementation too to see how it compares.

zlib-ng: https://github.com/zlib-ng/zlib-ng/blob/develop/functable.c

(2) There are many packages that rely upon zlib and minizip and switching those underlying dependencies is easier said than done. We can't drop zlib completely and switch: "The idea of zlib-ng is not to replace zlib, but to co-exist as a drop-in replacement with a lower threshold for code change." - https://github.com/zlib-ng/zlib-ng

There are already active zlib forks (e.g. https://github.com/zlib-ng/zlib-ng), the problem is with having people move to them. It takes a lot of effort to move mindshare from the original version to a fork, there's some historical examples of it happening, but not a ton.