Petalisp
swc
Petalisp | swc | |
---|---|---|
17 | 139 | |
425 | 30,053 | |
- | 0.8% | |
8.5 | 9.9 | |
about 2 months ago | 6 days ago | |
Common Lisp | Rust | |
GNU Affero General Public License v3.0 | Apache License 2.0 |
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Petalisp
- Petalisp: Elegant High Performance Computing
- Is there a tutorial for automatic differentiation with petalisp?
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Is there a language with lisp syntax but C semantics?
While not "as fast as C" (C is not the absolute pinnacle of performance), Common Lisp is incredibly fast compared to the majority of programming languages around today. There is even a huge amount of ongoing work being done to make it faster still. We are seeing many interesting projects that make better use of the hardware in your computer (e.g. https://github.com/marcoheisig/Petalisp).
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Common Lisp Implementations in 2023
i think lisp-stat library is actually being developed. however one numerical cl library that doesnt get enough mention and is being constantly developed is petalisp for HPC
https://github.com/marcoheisig/Petalisp
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numericals - Performance of NumPy with the goodness of Common Lisp
However, if you have a lisp library that puts those semantics to use, then you could get it to employ magicl/ext-blas and cl-bmas to speed it up. (petalisp looks relevant, but I lack the background to compare it with APL.)
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New Lisp-Stat Release
> his means cl pagckages can be "done".
this is true if there is nothing functional that can be added to a package. however its very much not true for ml frameworks right now. new things are being added all the time in the field. however even in the package i linked you have the necessary ingredients for any deep learning model: cuda and back propagation. the other person mentioned convolution which i think is pretty trivial to implement but still, if you expect everything for you to be ready made then you should probably stick to tf and pytorch. if you want to explore the cutting edge and push the boundaries then i think common lisp is a good tool. as an aside it might also be interesting to note that a common lisp package (Petalisp) is being used for high performance computing by a german university
https://github.com/marcoheisig/Petalisp
- The Julia language has a number of correctness flaws
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When a young programmer who has been using C for several years is convinced that C is the best possible programming language and that people who don't prefer it just haven't use it enough, what is the best argument for Lisp vs C, given that they're already convinced in favor of C?
One trick is that Common Lisp can generate and compile code at runtime, whereas static languages typically do not have a compiler available at runtime. This lets you make your own lazy person's JIT/staged compiler, which is useful if some part of the problem is not known at compile-time. Such an approach has been used at least for array munging, type munging and regular expression munging.
swc
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Storybook 8 Beta
First, we switched the default compiler for new projects from Babel to SWC (Speedy Web Compiler). SWC is dramatically faster than Babel and requires zero configuration. We’ll continue to support Babel in any project currently using it.
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What is JSDoc and why you may not need typescript for your next project?
SWC
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Implementing auth flow as fast as possible using NestJS
As the reference explains “**SWC** (Speedy Web Compiler) is an extensible Rust-based platform that can be used for both compilation and bundling. Using SWC with Nest CLI is a great and simple way to significantly speed up your development process.”
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Ruby Outperforms C: Breaking the Catch-22
This is specifically about breaking the myth that performing expensive self-contained operations (e.g, parsing GraphQL) in a native extension (C, Rust, etc.) is always faster than the interpreted language.
The JS ecosystem has the same problem, people think rewriting everything in Rust will be a magic fix. In practice, there's always the problem highlighted in the post (transitioning is expensive, causes optimization bailouts), as well as the cost of actually getting the results back into Node-land. This is why SWC abandoned the JS API for writing plugins - constantly bouncing back and forth while traversing AST nodes was even slower than Babel (e.g https://github.com/swc-project/swc/issues/1392#issuecomment-...)
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Building a Minimalist Docker Image with Node, TypeScript
Why Speedy Web Compiler ?
- TypeScript Is Surprisingly OK for Compilers
- Speedy Web Compiler: Rust-Based Platform for the Web
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FTA: Fast TypeScript Analyzer
FTA is a TypeScript static analysis tool built on the speedy foundations of swc. FTA is fast; capable of analyzing more than 150 files per second on typical hardware, it offers a powerful addition to your code quality toolkit.
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Show HN: Ezno, a TypeScript checker written in Rust, is now open source
Very cool! I'm curious, is this intended for dev tooling?
For example, I could see this (or something similar) being useful as the engine for a typescript language server that would be faster than the standard one
But if it's not aimed at 1:1 with tsc, would it be intended more for something like swc[1]?
Or what would you expect people to use this for, besides just being a cool project to learn from?
[1] https://github.com/swc-project/swc
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TypeScript team released an explorer for performance tuning
This is... good news, but I still cannot fathom using the default Typescript compiler for regular development. Seriously, leave the type-checking to your IDE and CICD chain, and switch to using tsx (https://www.npmjs.com/package/tsx) or swc (https://swc.rs/) and you will _immediately_ notice the difference in speed and productivity.
What are some alternatives?
awesome-cl - A curated list of awesome Common Lisp frameworks, libraries and other shiny stuff.
esbuild - An extremely fast bundler for the web
JWM - Cross-platform window management and OS integration library for Java
vite - Next generation frontend tooling. It's fast!
cl-cuda - Cl-cuda is a library to use NVIDIA CUDA in Common Lisp programs.
ts-loader - TypeScript loader for webpack
magicl - Matrix Algebra proGrams In Common Lisp.
tsup - The simplest and fastest way to bundle your TypeScript libraries.
lish - Lisp Shell
vitest - Next generation testing framework powered by Vite.
StatsBase.jl - Basic statistics for Julia
ts-node - TypeScript execution and REPL for node.js