MLton
MLton is an open-source, whole-program, optimizing Standard ML compiler.
MLton is an open-source, whole-program, optimizing Standard ML compiler.
This page is designed to help you find out whether MLton is good and if it is the right choice for you.
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Performance
MLton is known for producing highly optimized, efficient executables due to its whole-program compilation approach. This can result in faster performance compared to other Standard ML compilers.
Standard ML Compliance
MLton has strong adherence to the Standard ML language specification, ensuring that programs written for MLton are highly portable and conform to the expected language standards.
Rich Optimization
The compiler includes numerous optimization techniques, enabling better runtime performance and memory usage for compiled applications.
Large Language Support
MLton supports the full breadth of the Standard ML language, including advanced features like functors and modules.
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The latest comments about MLton on Reddit. This can help you find out how popualr the product is and what people think about it.
The author is right to note that Haskell can optimise across module (abstraction) boundaries. However I remember that in my childhood that Debray [1] did a lot of work on link-time optimisations (late 1980s). And of course there's the classic self work that fed into the JVM [2], and the whole-of-program compilers that are receiving renewed attention now; mlton [3] being a classic of the genre, "supercompiler"... - Source: Hacker News / over 1 year ago
Once I got the parser ready in OCaml, I thought I port it to Standard ML, since it belong to the same ML language family. I was also curious on how well mlton could optimise it. The language lacks custom let bindings, so I resorted to use Result.bind manually. This makes code much less readable and more verbose. The standard library also lacks result type, so I had to come up with my own simple implementation.... - Source: dev.to / over 3 years ago
If you’re fine with tracing GC (which depends on the situation, of course), Standard ML is a perfectly boring language (that IIUC predated and inspired Caml) and MLton[1] is a very nice optimizing compiler for it. The language is awkward at times (in particular, the separate sublanguage of modules can be downright unwieldy), and the library has some of the usual blind spots such as nonexistent Unicode support... - Source: Hacker News / over 4 years ago
Unfortunately, I haven't found a ton of "easily-digestible" and, at the same time, comprehensive guides on compiling functional languages. Generally you'll find a mix of blog posts/class notes/papers covering a single step. Some resources I like: - Andrew Kennedy's 2007 paper Compiling with Continuations, Continued [1]. This one is the most clear IMO - Andrew Appel's Compiling with Continuations book... - Source: Hacker News / over 4 years ago
More broadly, they can be fast even without such extensions if they aggressively pursue optimization opportunities afforded by static typing, like MLton for example, but that also impacts compilation performance negatively. Source: almost 5 years ago
According to the OP, it's from http://mlton.org/ (see https://coalton-lang.github.io/20211010-introducing-coalton/#acknowledgements ). - Source: Hacker News / about 5 years ago
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