mpl
1ml
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mpl | 1ml | |
---|---|---|
7 | 2 | |
287 | 262 | |
16.8% | - | |
8.4 | 10.0 | |
about 2 months ago | almost 4 years ago | |
Standard ML | OCaml | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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
1ml
What are some alternatives?
cakeml - CakeML: A Verified Implementation of ML
LunarML - The Standard ML compiler that produces Lua/JavaScript
millet - A language server for Standard ML.
HPCInfo - Information about many aspects of high-performance computing. Wiki content moved to ~/docs.
FStar - A Proof-oriented Programming Language
mlton - The MLton repository
VisualFSharp - The F# compiler, F# core library, F# language service, and F# tooling integration for Visual Studio
ppci - A compiler for ARM, X86, MSP430, xtensa and more implemented in pure Python
Fable: F# |> BABEL - F# to JavaScript, TypeScript, Python, Rust and Dart Compiler
install-mlkit - Action for installing MLKit
min-caml - moved from https://sourceforge.net/p/min-caml/code/