cl-cuda VS awesome-cl

> You can write a lot of macrology to get around it, but there's a point where you want actual compiler writers to be doing this

this is not the job of compiler writers (although writing macros is akin to writing a compiler but i do not think that this is what you mean). in julia the numerical programming packages are not part of the standard library and a lot of it is wrappers around C++ code especially when the drivers to the underlining hardware are closed-source [0]. also here is the similar library in common lisp [1]

[0] https://github.com/JuliaGPU/CUDA.jl

[1] https://github.com/takagi/cl-cuda

A Common Lisp Library to Use Nvidia CUDA\ (0 comments)

Personally, I've been relying on the stream-based method using py4cl/2, mostly because I did not - and perhaps do not - have the knowledge and time to dig into the CFFI based method. The limitation is that this would get you less than 10000 python interactions per second. That is sufficient if you will be running a long running python task - and I have successfully run trivial ML programs using it, but any intensive array processing gets in the way. For this later task, there are a few emerging libraries like numcl and array-operations without SIMD (yet), and numericals using SIMD. For reasons mentioned on the readme, I recently cooked up dense-arrays. This has interchangeable backends and can also use cl-cuda. But barring that, the developer overhead of actually setting up native-CFFI ecosystem is still too high, and I'm back to py4cl/2 for tasks beyond array processing.

Hello, a single counter-example I hope https://lispcookbook.github.io/cl-cookbook/editor-support.ht...

(see more from https://github.com/CodyReichert/awesome-cl?tab=readme-ov-fil...

https://cl-community-spec.github.io/pages/index.html

and some more)

Everyone, if you don't have a clue on how's Common Lisp going these days, I suggest:

https://lisp-journey.gitlab.io/blog/these-years-in-common-li... (https://www.reddit.com/r/lisp/comments/107oejk/these_years_i...)

A curated list of libraries: https://github.com/CodyReichert/awesome-cl

Some companies, the ones we hear about: https://github.com/azzamsa/awesome-lisp-companies/

and oh, some more editors besides Emacs or Vim: https://lispcookbook.github.io/cl-cookbook/editor-support.ht... (Atom/Pulsar support is good, VSCode support less so, Jetbrains one getting good, Lem is a modern Emacsy built in CL, Jupyter notebooks, cl-repl for a terminal REPL, etc)

check out the editor section, there's more than Emacs these days: https://lispcookbook.github.io/cl-cookbook/editor-support.ht...

- https://github.com/CodyReichert/awesome-cl for libraries

- https://www.classcentral.com/report/best-lisp-courses/#ancho...

- a recent overview of the ecosystem: https://lisp-journey.gitlab.io/blog/these-years-in-common-li... (shameless plug, on HN: https://news.ycombinator.com/item?id=34321090)

More HTML generators for CL: https://github.com/CodyReichert/awesome-cl#html-generators-a... there are lispy ones (Spinneret), Django-like ones (Djula, I like it, easy to use and extend), HTML-based allowing for inline Lisp code (Ten), JSX-like ones (lsx, markup), and more.

https://github.com/CodyReichert/awesome-cl is usually a good place to find recommendations. Jzon is pretty good.

> obstacles add up

I actually agree. It wasn't smooth for me to ship my first CL app. It's all better now (more tools, more documentation, more blog posts from several people, more SO questions and answers!).

> performant

SBCL is in the same ballpack of C, Rust or Java in many benchmarks.

In this article series, the author writes the same program in CL, Rust and Java. In fact, he copy-pastes a PG snippet from 30 years ago. This snippet beats Rust and Java in LOC and speed. But, yeah, he wasn't writing super efficient Rust code, so after many discussions, pull requests and sweating, the Rust code became the most performant. https://renato.athaydes.com/posts/revisiting-prechelt-paper-... It didn't take work to make the CL code performant, more so for the Rust one ;)

a benchmark after sb-simd vectorization: https://preview.redd.it/vn5juu36v2681.png?width=715&format=p... (https://www.reddit.com/r/Common_Lisp/comments/riedio/quite_a...)

> good tools for networking, for writing concurrent or asynchronous code, for graphics,

I refer the reader to https://github.com/CodyReichert/awesome-cl but yes, CL won't have the best libraries in some scenarii (GUI? Tk libs are good, we have Gtk4, a Qt5 library used in production© by a big player but difficult to install etc)

> it doesn't give you a good package manager or means of distributing code

Quicklisp is neat, with limitations, that can be addressed with Qlot, ql-https, or CLPM or the newest ocicl.

It's a good book!

Modern companions would be:

- the Cookbook: https://lispcookbook.github.io/cl-cookbook/ (check out the editors section: Atom/Pulsar, VSCode, Sublime, Jetbrains, Lem...)

- https://github.com/CodyReichert/awesome-cl to find libraries

Also:

- https://stevelosh.com/blog/2018/08/a-road-to-common-lisp/

- https://news.ycombinator.com/item?id=34321090 2022 in review

> static strong typing

Alright, here is it: https://github.com/coalton-lang/coalton/

> small efficient native binaries

The numbers are: with SBCL's core-compression, a web app with dozens on dependencies will weight ±30 to 40MB. This includes the compiler, the debugger, etc. Without core compression, we reach ±150MB.

> The actor runtime?

the actor library: https://github.com/mdbergmann/cl-gserver

> couldn't find a way to make money with it. I suspect many other programmers are in my boat.

Alright. Some do, that's life. Yes, some companies go with CL even in 2023 (https://lisp-journey.gitlab.io/blog/lisp-interview-kina/, they released https://github.com/KinaKnowledge/juno-lang lately; Feetr (finance): https://twitter.com/feetr_io/status/1587182923911991303)

https://github.com/azzamsa/awesome-lisp-companies/

> Give us an HTTP (1.x & 2.0) and WebSockets libraries

How so? We have those libraries. HTTP/2: https://github.com/zellerin/http2/

https://github.com/CodyReichert/awesome-cl

https://leanpub.com/lovinglisp -- this one is great, and the first thing I recommend

https://lispcookbook.github.io/cl-cookbook/ -- also great and up to date

https://awesome-cl.com/ -- for anything else.

I also recommend https://github.com/CodyReichert/awesome-cl, a curated list of libraries.