mpl
AECforWebAssembly
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mpl | AECforWebAssembly | |
---|---|---|
7 | 51 | |
287 | 31 | |
16.8% | - | |
8.4 | 8.0 | |
about 2 months ago | 3 days ago | |
Standard ML | C++ | |
GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
mpl
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Garbage Collection for Systems Programmers
I'm one of the authors of this work -- I can explain a little.
"Provably efficient" means that the language provides worst-case performance guarantees.
For example in the "Automatic Parallelism Management" paper (https://dl.acm.org/doi/10.1145/3632880), we develop a compiler and run-time system that can execute extremely fine-grained parallel code without losing performance. (Concretely, imagine tiny tasks of around only 10-100 instructions each.)
The key idea is to make sure that any task which is *too tiny* is executed sequentially instead of in parallel. To make this happen, we use a scheduler that runs in the background during execution. It is the scheduler's job to decide on-the-fly which tasks should be sequentialized and which tasks should be "promoted" into actual threads that can run in parallel. Intuitively, each promotion incurs a cost, but also exposes parallelism.
In the paper, we present our scheduler and prove a worst-case performance bound. We specifically show that the total overhead of promotion will be at most a small constant factor (e.g., 1% overhead), and also that the theoretical amount of parallelism is unaffected, asymptotically.
All of this is implemented in MaPLe (https://github.com/mpllang/mpl) and you can go play with it now!
- MPL: Automatic Management of Parallelism
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Good languages for writing compilers in?
Maple is a fork of MLton: https://github.com/MPLLang/mpl
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Comparing Objective Caml and Standard ML
Some of us are still using SML for research and teaching, e.g. https://github.com/mpllang/mpl
- MaPLe Compiler for Parallel ML v0.3 Release Notes
- MPL-v0.3 Release Notes
AECforWebAssembly
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Gren 0.3: Source maps
Great! I have not yet made source maps for my programming language that compiles to WebAssembly, and I probably never will.
- Mislite li da okolina ima potpuno pogrešno mišljenje o ljudima koji rade u IT-u?
- Koja je najapsurdnija poruka o pogrešci koju je neki vaš program ispisivao?
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What is the most absurd error message your compiler/interpreter was once outputting?
Up until today, my AEC-to-WebAssembly was, if somebody tried to use two structures of different types as the second and the third operand to the ?: (ternary conditional) operator, as in this example: ``` Structure First Consists Of Nothing; EndStructure
- Poteškoće s pronalaskom posla
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Good languages for writing compilers in?
Well, I have written the first compiler for my programming language, targetting x86, in IE6-compatible JavaScript, and the second compiler, targetting WebAssembly, has been written in C++11. I think that, to choose a language to write a compiler in, you need to look at at least two things:
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Why does GCC run in Docker produce around 30% smaller statically linked C++ executables than GCC run on Linux? AECforWebAssembly is 1.08 MB large if compiled using GCC 13.1 in Docker, but it is 1.59 MB if compiled using GCC 13.1 on Debian.
You can see the releases v2.5.3 and v2.5.2 of AECforWebAssembly on GitHub. They are produced with the same version of GCC, the only difference (as far as I know) is that v2.5.2 was produced directly on Debian, whereas v2.5.3 was cross-compiled from Windows to Linux using Docker.
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Let's Make Sure Github Doesn't Become the only Option
That could be true. I host my AEC-to-WebAssembly compiler on GitHub, GitLab and SourceForge, and it's only on GitHub that it has 21 stars and 2 forks. On GitLab and SourceForge, it has zero of both.
- koliko vam je bilo tesko nac posao u programiranju?
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Does the JVM / CLR even make sense nowadays?
Well, the main compiler for my programming language is targetting the JavaScript Virtual Machine by outputting WebAssembly. I think it's even better than targetting Java Virtual Machine, because, for one thing, your executables can run in any modern browser if you output WebAssembly. If you target Java Virtual Machine, the users need to actually download your app. Furthermore, there is an official assembler for WebAssembly called WebAssembly Binary Toolkit (WABT), so your compiler can output assembly and not have to deal with binary files. There is nothing equivalent to that for Java Virtual Machine.
What are some alternatives?
cakeml - CakeML: A Verified Implementation of ML
Lark - Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity.
LunarML - The Standard ML compiler that produces Lua/JavaScript
wasm-fizzbuzz - WebAssembly from Scratch: From FizzBuzz to DooM.
HPCInfo - Information about many aspects of high-performance computing. Wiki content moved to ~/docs.
mal - mal - Make a Lisp
mlton - The MLton repository
libCat - 🐈⬛ A runtime for C++26 w/out libC or POSIX. Smaller binaries, only arena allocators, SIMD, stronger type safety than STL, and value-based errors!
1ml - 1ML prototype interpreter
gdal-js - This is an Emscripten port of GDAL, an open source X/MIT licensed translator library for raster and vector geospatial data formats.
ppci - A compiler for ARM, X86, MSP430, xtensa and more implemented in pure Python
Drogon-torch-serve - Serve pytorch / torch models using Drogon