c-mera
Petalisp
c-mera | Petalisp | |
---|---|---|
7 | 17 | |
383 | 453 | |
- | - | |
0.0 | 8.5 | |
over 1 year ago | 1 day ago | |
Common Lisp | Common Lisp | |
GNU General Public License v3.0 or later | GNU Affero General Public License v3.0 |
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c-mera
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Submissions to Spring Lisp Game Jam 2023
Arguably Pacman Clone - it uses WISP (non s-exps syntax for any lisp) + C-Mera which is some kind of mix of C and CL, and is written mostly in CL.
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Is there a language with lisp syntax but C semantics?
c-mera does exist.
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jc - Meta-program C/C++ with JavaScript
Thanks, you're right. I chose JS because it is so well-known, but I think it does have some other advantages as well. For example, if you need to run a lot of compatibility test commands, or need to generate code via external programs, or even make network requests to get config values or something, you can do all of that in parallel with JS async instead of sequentially like configure. You might find https://github.com/kiselgra/c-mera interesting. It's similar to this project but uses Lisp and a unified syntax.
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Generate C code
I used https://github.com/kiselgra/c-mera for this purpose and it worked very well.
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Carp – A statically typed Lisp, without a GC, for real-time applications
That's a Lisp preprocessor for a non-Lisp language.
If you program in C using the Common Lisp c-mera preprocessor, or any of the other similar systems, it's the same thing.
You're writing everything in S-exps, and the expansions use conses, but the output is C; so that of course cannot call cons at run time.
https://github.com/kiselgra/c-mera
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Syntatic Sugar that compiles to C
even more interesting are the handful of projects layering lisp style macros on top of C. i've seen several go by over the years; a quick google search brought up c-mera and cmacro.
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Alternative to ECL?
If you look for lisp-like syntax in C: - cmera https://github.com/kiselgra/c-mera
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.
What are some alternatives?
c2ffi - Clang-based FFI wrapper generator
awesome-cl - A curated list of awesome Common Lisp frameworks, libraries and other shiny stuff.
cl-raylib - Common Lisp binding of raylib
JWM - Cross-platform window management and OS integration library for Java
cmacro - Lisp macros for C
cl-cuda - Cl-cuda is a library to use NVIDIA CUDA in Common Lisp programs.
chibi-scheme - Official chibi-scheme repository
magicl - Matrix Algebra proGrams In Common Lisp.
janet-benchmarksgame - Versions of the "Computer Language Benchmarks Game" benchmarks for the Janet language.
lish - Lisp Shell
cl-autowrap - (c-include "file.h") => complete FFI wrapper
StatsBase.jl - Basic statistics for Julia