cl-cuda
babashka
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cl-cuda | babashka | |
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5 | 112 | |
270 | 3,790 | |
- | 0.8% | |
0.0 | 9.2 | |
almost 3 years ago | 6 days ago | |
Common Lisp | Clojure | |
MIT License | Eclipse Public License 1.0 |
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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.
cl-cuda
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Why Lisp? (2015)
> 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]
- Fast and Elegant Clojure: Idiomatic Clojure without sacrificing performance
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Hacker News top posts: Aug 14, 2021
A Common Lisp Library to Use Nvidia CUDA\ (0 comments)
- A Common Lisp Library to Use Nvidia CUDA
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Machine Learning in Lisp
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.
babashka
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A Tour of Lisps
It also gives you access to Babashka if you want Clojure for other use-cases where start-up time is an issue
- Babashka: Fast native Clojure scripting runtime
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What's the value proposition of meta circular interpreters?
I've tried researching this myself and can't find too much. There's this project metaes which is an mci for JS, and there's the SCI module of the Clojure babashka project, but that's about it. I also saw Triska's video on mci but it was pretty theoretical.
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Adding Dependencies on Clojure Project the Node Way: A Small Intro to neil CLI
Created by the same guy who created babashka which is a way to write bash scripts, node scripts, and even apple scripts using Clojure. A very proficient and influential developer in the Clojure community. This is how borkduke's neil helps us:
- Babashka
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Pure Bash Bible
Not what you asked for but there is Babashka for scripting in Clojure.
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Critique of Lazy Sequences in Clojure
Clojure's lazy sequences by default are wonderful ergonomically, but it provides many ways to use strict evaluation if you want to. They aren't really a hassle either. I've been doing Clojure for the last few years and have a few grievances, but overall it's the most coherent, well thought out language I've used and I can't recommend it enough.
There is the issue of startup time with the JVM, but you can also do AOT compilation now so that really isn't a problem. Here are some other cool projects to look at if you're interested:
Malli: https://github.com/metosin/malli
Babashka: https://github.com/babashka/babashka
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Sharpscript: Lisp for Scripting
Being a Clojure addict, I guess I have to leave the obligatory link to Babashka too then: https://github.com/babashka/babashka (Native, fast starting Clojure interpreter for scripting)
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Rash – The Reckless Racket Shell
which is now on hiatus. babashka: https://babashka.org
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Are there any languages (that are in common use in companies) and higher-level that give you the same feeling of simplicity and standardization as C?
I've enjoyed babashka for scripting; which is close enough to clojure to allow using some/many libraries; but (probably) not for embedding.
What are some alternatives?
numcl - Numpy clone in Common Lisp
janet - A dynamic language and bytecode vm
criterium - Benchmarking library for clojure
malli - High-performance data-driven data specification library for Clojure/Script.
numericals - CFFI enabled SIMD powered simple-math numerical operations on arrays for Common Lisp [still experimental]
joker - Small Clojure interpreter, linter and formatter.
py4cl - Call python from Common Lisp
nbb - Scripting in Clojure on Node.js using SCI
hash-array-mapped-trie - A hash array mapped trie implementation in c.
clojure-lsp - Clojure & ClojureScript Language Server (LSP) implementation
LoopVectorization.jl - Macro(s) for vectorizing loops.
racket - The Racket repository