sb-simd
clog
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sb-simd | clog | |
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11 | 150 | |
72 | 1,425 | |
- | - | |
8.4 | 9.6 | |
almost 2 years ago | 1 day ago | |
Common Lisp | Common Lisp | |
MIT License | GNU General Public License v3.0 or later |
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sb-simd
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The Usability of Advanced Type Systems: Rust as a Case Study
> fully dynamic
Well, no, it's SBCL. Common Lisp has support for types, but most compilers only use them for optimization, SBCL goes one step further and emits warnings when you mismatch types. And looking at the code, I can see lots of type declarations.
It's also interesting to note that the code does not seem to be using SBCL's new SIMD library*, so it could be sped up even more.
* <https://github.com/marcoheisig/sb-simd>, see the texinfo file for documentation.
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Implementation comparison
I suppose that using arrays + using SIMD instructions could be even faster. Someone is already doing that: https://github.com/marcoheisig/sb-simd/blob/master/examples/simd-dot.lisp .
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Which programming language or compiler is faster
Common Lisp (sbcl) performance via native implementation of simd [0] is very impressive ! It is litteraly acheieving C/Cpp speeds (within few ms). Great work by Marco Heisig
[0] https://github.com/marcoheisig/sb-simd
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sb-simd vectorization speed
Here is another demonstration of how effective SIMD vectorization can be using sb-simd.
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Quite amazing SBCL benchmark speed with sb-simd vectorization
You can see on Programming Language and Compiler Benchmark site the amazing speed of SBCL when sb-simd is used for vectorization.
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How to speed up array writes?
For SBCL-specific, Marco and Bela have put in a ton of work at sb-simd - may be the OP finds the relevant simd interface there!
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Programming Language and compiler Benchmarks
And sb-simd is getting very-very impressive to say the least thanks to Marco Heisig.
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Best Lisp(s) for Functional & (seperately) Systems programming?
You can use sb-simd for manual vectorisation with SBCL. Manual vectorisation is definitely more hassle than automatic vectorisation, but often worth it.
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Common Lisp (SBCL) slower than Python 3.9?
Fully agreed. One more library that could open up areas is also coming soon. Though documentation is still to be written. Please check sb-simd I wish I could have supported Marco even more.
- Question about Cons cell implementations
clog
- Embracing Common Lisp in the Modern World
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Use any web browser as GUI, with Zig in the back end and HTML5 in the front end
Reminds me of the approach of CLOG (Common Lisp Omnificent Gui[1]) and its ancestor GNOGA (The GNU Omnificent GUI for Ada[2]).
They also integrate basic components and even graphical UI editor (at least for CLOG), so you can essentially develop the whole thing from inside CL or Ada
[1] https://github.com/rabbibotton/clog
[2] https://github.com/alire-project/gnoga
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Common Lisp: An Interactive Approach (1992) [pdf]
For me David Botton [0] with his work including code, support and videos is doing very nice work in this direction.
I use SBCL for everything but work because I cannot get; we are getting there, but like you say, it’s such a nice experience working interactively building fast that it is magic and it’s painful returning to my daily work of Python and typescript/react. It feels like a waste of time/life, really.
[0] https://github.com/rabbibotton/clog
- CLOG - The Common Lisp Omnificent GUI
- Clog The Common Lisp Omnificent GUI
- Clog – The Common Lisp Omnificent GUI
- Tkinter Designer: Quickly Turn Figma Design to Python Tkinter GUI
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Want to learn lisp?
I was following along on the Windows page and didn't check back on the main README to see if any of the other instructions would help.
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All Web frontend lisp projects
It the answer is "latter", then you could look at Common Lisp and Reblocks (https://40ants.com/reblocks/) or CLOG (https://github.com/rabbibotton/clog).
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How to Understand and Use Common Lisp
I haven't used Clojure professionally in 10 years so with a grain of salt here are my thoughts as only one other person answered...
CL over Clojure: it's the OG Lisp that the creator of Clojure used and wanted to continue using but faced too much resistance from management afraid of anything not-Java/not-Oracle, or not-CLR/not-Microsoft, etc. Clojure shipped originally as "just another jar" so devs could "sneak" it in. If you don't have such a management restriction, why Clojure? If you want to integrate CL with the JVM, you can use the ABCL implementation, there's also something from one of the proprietary Lisps. Some useful CL features that are nice in this domain: conditions and restarts mentioned in a sibling comment (very nice to help interactively develop/debug e.g. a selenium webdriver test), ability to easily compile an exe (perhaps useful for microservices, or just to keep your deployment environment clean and not having to care about Lisp), and ability to easily ship with an open local socket allowing you to SSH in (or SSH port forward) and debug/fix/poke around in production (JVM of course lets you attach debuggers to a running process, even certain billion+ dollar companies will have supervised/limited prod debugging sessions for various hairy cases, but it's not as interactive). You should never hear CL advocates claim you can't scale to large teams/groups of engineers or large multi-million-lines sized projects, though you might oddly hear Clojure advocates sometimes claim you can't (and shouldn't) scale to such large projects -- large groups of engineers are a non-issue for them as well though, the challenge is in hiring, not in the language somehow making it impossible to modularize and keep people from stepping on each other.
Clojure over CL: its integration with the JVM is nicer than ABCL's, so if you do actually want a lot of the great world of Java stuff, it's easier to get at. Database integration libraries are better. Access to libs (Clojure or Java) is via Maven, so it's a larger ecosystem with more self-integrating components (especially around monitoring/metrics) than what's available for Lisp via Quicklisp. Clojure is very opinionated, much of it quite tasteful, and that gives the whole ecosystem a certain consistency. (You can have immutable data structures in CL, you can if you want use [] for literal vectors and make them syntactically important e.g. in let bindings, but not everyone will be on board.) Even though its popularity seems to have stopped growing, at least at the same rate as e.g. Go which it was keeping pace with for a while, it's still popular enough with a bigger community; as a proxy measure there are multiple conferences around the world and good talks at adjacent conferences, whereas Lisp mostly just has one conference in Europe per year and only occasional branching outside of that.
If you're doing a client-side-heavy webapp, ClojureScript is still amazing, CL's answers there aren't very compelling with the exception of CLOG (https://github.com/rabbibotton/clog) which takes an entirely different direction than the usual idea of translating/running Lisp on top of JavaScript and its popular frameworks.
What are some alternatives?
sbcl - Mirror of Steel Bank Common Lisp (SBCL)'s official repository
kandria - A post-apocalyptic actionRPG. Now on Steam!
PrimesResult - The results of the Dave Plummer's Primes Drag Race
stumpwm - The Stump Window Manager
sleef - SIMD Library for Evaluating Elementary Functions, vectorized libm and DFT
awesome-cl - A curated list of awesome Common Lisp frameworks, libraries and other shiny stuff.
electron-sbcl-sqlite - A simple boilerplate that builds an Electron app with SBCL and SQLite3 embedded
Programming-Language-Benchmarks - Yet another implementation of computer language benchmarks game
weblocks - This fork was created to experiment with some refactorings. They are collected in branch "reblocks".
Carp - A statically typed lisp, without a GC, for real-time applications.
kons-9 - Common Lisp 3D Graphics Project