avo VS compress

I wonder whether avo could have been useful here?[1] I mention it because it came up the last time we were talking about AVX operations in go.[2]

1 = https://github.com/mmcloughlin/avo

2 = https://news.ycombinator.com/item?id=34465297

I thought the /r/golang comments on this post were pretty useful[1]. They also introduced me to avo[2], a tool for generating x86 assembly from go that I hadn't seen before. There are some examples listed on the avo github page for generating AVX512 instructions with avo.

1 = https://www.reddit.com/r/golang/comments/10hmh07/how_to_use_...

2 = https://github.com/mmcloughlin/avo

For writing AVX512 from scratch avo is a much better alternative.

Avo is a library that simplifies writing complex go assembly, I found it very useful to figure out how instructions map onto Go's asm syntax. But you could definitely do the translation directly, it's what c2goasm did (couldn't get it to work reliably unfortunately).

Curious if you're looking at using avo to write the assembly

You can use github.com/mmcloughlin/avo for generating the assembly use Go.

For normal and "better" mode I am using avo to generate different encoders for different input sizes, with and without Snappy compatibility. That currently outputs about 17k lines of assembly.

You could perhaps just have the Go compiler generate the assembler for your code:

go tool compile -S file.go > file_amd64.s

Then you could verify it doesn't change over time, and choose to begin maintaining by hand if it makes sense.

If you do want to go the route of rolling it yourself, I'd suggest looking into something like Avo: https://github.com/mmcloughlin/avo

If you have to go with Assembly, try Avo https://github.com/mmcloughlin/avo

There's a pure-go zstd at https://github.com/klauspost/compress - it's likely faster than running the upstream zstd under Wazero.

It's no surprise that "fast" Go libraries are actually just assembly: https://github.com/klauspost/compress/blob/master/zstd/seqdec_amd64.s (just one file out of several, for just one architecture, for just one compression algorithm!)

There is a reasonably feature complete implementation of Zstd for Go: https://github.com/klauspost/compress/tree/master/zstd

It may not offer the same API 1:1, but it has no interoperability issues that I've encountered. So, I just think no one has bothered to implement it in Rust because most use cases don't mind the added bloat you're talking about. Plus, other comments I've seen suggest that you can actually tune the size of the zstd library, although I'm not sure if the Rust bindings expose that.

Thanks again for your review/comment!!! Btw, are you the author of this repo https://github.com/klauspost/compress because I love it!!!

I noticed Github returns "This page is taking too long to load" with status code 502 for https://github.com/klauspost/compress but rest of their urls works fine. Anyone know why would that be the case ?

Cloning the repo works perfectly well.

git clone https://github.com/klauspost/compress

Recent versions of zstd definitely don't obsolete LZ4, or else I don't think the author would still be contributing to both...

And if you're going to play with Snappy, you might find S2, which was linked on HN relatively recently, interesting. [1]

[1] - https://github.com/klauspost/compress/tree/master/s2

Compression method appears to be zstandard and uses https://github.com/klauspost/compress, for those wondering like I was.

OMG u/klauspost is this you? https://github.com/klauspost/compress/tree/master/s2