SICL
HVM
SICL | HVM | |
---|---|---|
26 | 107 | |
1,052 | 7,156 | |
- | 2.4% | |
9.9 | 6.7 | |
10 days ago | 2 months ago | |
TeX | Rust | |
GNU General Public License v3.0 or later | MIT License |
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SICL
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Ask HN: Guide for Implementing Common Lisp
This is a very approachable paper from 1990 on one way to do it with a C kernel bootstrapping to Common Lisp: https://www.softwarepreservation.org/projects/LISP/kcl/paper... Kyoto Common Lisp (KCL) is the ancestor of today's Embeddable Common Lisp (ECL).
SICL is probably the best modern version of CL written in CL from a design standpoint, even if it's not taking over SBCL's role anytime soon: https://github.com/robert-strandh/SICL It uses some fancy bootstrapping to have the whole language available early, e.g. their definition of class 'symbol is:
(defclass symbol (t)
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An implementation of Common Lisp targeting Lua
That's pretty much the objective of SICL, which is "intentionally divided into many implementation-independent modules that are written in a totally or near-totally portable way, so as to allow other implementations to incorporate these modules from SICL, rather than having to maintain their own, perhaps implementation-specific versions".
https://github.com/robert-strandh/SICL
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Strong typing, a hill I'm willing to die on
Gladly!
https://github.com/robert-strandh/SICL (which I wrote a decent chunk of the compiler backend of.)
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lisp-in-lisp: an experimental implementation of the lisp interpreter in itself
I applaud your curiosity and initiative to explore. Are you aware of https://github.com/robert-strandh/SICL?
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NSA urges orgs to use memory-safe programming languages
I mean this Klein and this SICL. Self and Common Lisp are memory-safe, though the implementations need capabilities to manipulate memory; SICL encapsulates them using first-class global environments.
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Re-targeting (Lisp) compilers
There is significant overlap with SICL and its associated pieces which supply many of the other parts needed to make a Common Lisp. Some of these are Cluster which provides a portable and extensible assembler, Eclector which supplies a portable and extensible reader, Concrete-Syntax-Tree that supports source code tracking during compilation, ctype that implements the Common Lisp type system, and Clostrum that provides first-class environments for e.g. run-time, evaluation, and compilation. The SICL project has as one of its goals the creation of portable infrastructure for implementing Common Lisp, and these pieces are novel building blocks that were created as part of the project.
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Question from a new Lisper
Not really; you can do it with primitive operations e.g. here is the list in the Cleavir compiler and a paper on "magic" in Jikes RVM. SBCL also has a "virtual op"/vop language for code generation, and vops are written to manipulate objects with assembly snippets.
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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?
Both work. I basically never have to touch C or even FFI (cl+ssl being the main use of FFI for me), unless I am poking at SBCL guts in my spare time, and that isn't necessary either. I am sure many Haskell hackers are happy with their IO monad too.
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Some questions from a new user.
It's used in operating systems, compilers and CLIs.
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Open source compilers that use three address code as IR?
The Cleavir Common Lisp compiler uses three-address instructions in a control-flow graph, though it is intended more for production use than educational use.
HVM
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SaberVM
Reminds me of HVM[0]
[0]https://github.com/HigherOrderCO/HVM
Really interesting to see how new lang concepts and refinements keep popping up this last decade, between Vale, Gleam, Hylo, Austral...
Linear types really opened up lots of ways to improve memory management and compilation improvements.
- GPU Survival Toolkit for the AI age: The bare minimum every developer must know
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A new F# compiler feature: graph-based type-checking
I have a tangential question that is related to this cool new feature.
Warning: the question I ask comes from a part of my brain that is currently melted due to heavy thinking.
Context: I write a fair amount of Clojure, and in Lisps the code itself is a tree. Just like this F# parallel graph type-checker. In Lisps, one would use Macros to perform compile-time computation to accomplish something like this, I think.
More context: Idris2 allows for first class type-driven development, where the types are passed around and used to formally specify program behavior, even down to the value of a particular definition.
Given that this F# feature enables parallel analysis, wouldn't it make sense to do all of our development in a Lisp-like Trie structure where the types are simply part of the program itself, like in Idris2?
Also related, is this similar to how HVM works with their "Interaction nets"?
https://github.com/HigherOrderCO/HVM
https://www.idris-lang.org/
https://clojure.org/
I'm afraid I don't even understand what the difference between code, data, and types are anymore... it used to make sense, but these new languages have dissolved those boundaries in my mind, and I am not sure how to build it back up again.
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A History of Functional Hardware
Impressive presentation but I find two things missing in particular:
* GRIN [1] - arguably a breakthrough in FP compilation; there are several implementation based on this
* HVM [2] - parallel optimal reduction. The results are very impressive.
[1] https://link.springer.com/chapter/10.1007/3-540-63237-9_19
[2] https://github.com/HigherOrderCO/HVM
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Is the abstraction of lazy-functional-purity doomed to leak?
Purity has nothing to do with memoization. Haskell's semantics never "rewrite under a lambda" (unlike, e.g. HVM). Calling (\_ -> e) () twice will (modulo optimizations) always perform the computation in e twice.
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Can one use lambda calculus as an IR?
The most recent exploration of this, that I'm aware of is HVM (another intermediate language / runtime), although this one is not actually based on the lambda calculus, but on the interaction calculus.
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The Rust I Wanted Had No Future
Then, actually unrelated but worth mentioning: HVM. Finally, something new on the functional front that isn't dependent types!
- The Halting Problem Is Decidable on a Set of Asymptotic Probability One (2006)
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Bachelor Thesis Topic
If you are into functional PL, how about https://github.com/HigherOrderCO/HVM? You could experiment if you could schedule that on a GPU?
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For those of you self taught,how did you cope with distractions while using a computer ?
In the interest of seeking ways of optimizing my code, I stumbled upon http://www.rntz.net/datafun/ as a means to do incremental computations of fixpoints while avoiding redundant work. And also the idea of automatic parallelism achieved by using Interaction Nets as a model of computation https://github.com/HigherOrderCO/HVM.
What are some alternatives?
clasp - clasp Common Lisp environment
Kind - A next-gen functional language [Moved to: https://github.com/Kindelia/Kind2]
whirlisp - A whirlwind Lisp adventure
rust-gpu - 🐉 Making Rust a first-class language and ecosystem for GPU shaders 🚧
one-more-re-nightmare - A fast regular expression compiler in Common Lisp
Sharp-Bilinear-Shaders - sharp bilinear shaders for RetroPie, Recalbox and Libretro for sharp pixels without pixel wobble and minimal blurring
gophernotes - The Go kernel for Jupyter notebooks and nteract.
fslang-suggestions - The place to make suggestions, discuss and vote on F# language and core library features
river-runner - Uses USGS/MERIT Basin data to visualize the path of a rain droplet to its endpoint.
atom - A DSL for embedded hard realtime applications.
Cleavir - an implementation-independent framework for creating Common Lisp compilers
Vale - Compiler for the Vale programming language - http://vale.dev/