aoc-2020 VS ruby

Figured I'd post my benches as well, see below. Everything done in Rust (link to source).

Here's my day 24 in Rust, using SIMD as usual :) (and offset coordinate encoding to make a SIMD-friendly 2-D cell grid)

Borrowed both ideas in my version :) On my input your version runs at 3ms, mine in 1.5ms, so it might be faster on some inputs (link). I initially started with something similar to yours but then figured why not use 512-bit ints, so that the notion of 'head' and 'tail' disappears as your head then stays at position 0 (so, e.g., to remove a card, you just right-shift the whole bigint). Also used a tiny bit of simd along the way.

Part 1 + Part 2

Ruby testing with RSpec

https://github.com/ruby/ruby/blob/master/doc/yjit/yjit.md#co...

It just dumps all the JIT-compiled code? I'd expect to see some kind of heuristic or algorithm there... LFU or something.

The internals of a JIT are essentially black magic to me, and I know the people working on YJIT are super talented, so I am sure there is a good reason why they just dump everything instead of the least-frequently used stuff. Maybe the overhead of trying frecency outweighs the gains, maybe they just haven't implemented it yet, or maybe it's just a rarely-reached condition.

Also for a practical tip on YJIT memory usage, note that there is a "--yjit-exec-mem-size" option, see https://github.com/ruby/ruby/blob/master/doc/yjit/yjit.md#co... for more details. (This command-line argument is mentioned in the paper https://dl.acm.org/doi/10.1145/3617651.3622982 but not in this blog post about the paper.)

At Heii On-Call https://heiioncall.com/ we use:

    ENV RUBY_YJIT_ENABLE=1

Not parent poster and do not have production YJIT experience. =)

My guess is that you would monitor `RubyVM::YJIT.runtime_stats[:code_region_size]` and/or `RubyVM::YJIT.runtime_stats[:code_gc_count]` so that you can get a feel for a reasonable value for your application, as well as know whether or not the "code GC" is running frequently.

https://github.com/ruby/ruby/blob/master/doc/yjit/yjit.md#pe...

Part of the major userbase pull in GitHub revolves around hosting a considerable number of popular projects including Angular, React, Kubernetes, cpython, Ruby, tensorflow, and well even the software that powers this site Forem.

The title is misleading, just like other commenters mentioned. Just check how much indirection "rb_iv_get()" has to make (at the end, it will call [1], which isn't "a light" call). Now, check generated JIT code (in a blog post) for the same action where JIT knows how to shave off unnecessary indirection.

We are comparing apples and oranges here.

[1] https://github.com/ruby/ruby/blob/b635a66e957e4dd3fed83ef1d7...

As with actual spoken languages, programming languages have their own grammar as well. I've you've read any RFCs for networking protocols you may have come across a variation of Backus–Naur form, commonly referred to as BNF. The HTTP protocol uses an augmented version of it for its standard. Other languages such as Ruby may even utilize a grammar file.

It relies on ruby and would be installed with ruby gems: gem install finddups TBH, I've only tested it with macOS. It should work with linux too, but I don't think it will work with windows.

But do not trust in me, see the repository of language!