sml-parseq
mlkit
| sml-parseq | mlkit | |
|---|---|---|
| 1 | 2 | |
| 4 | 264 | |
| - | - | |
| 4.5 | 7.7 | |
| about 3 years ago | about 2 months ago | |
| Standard ML | Standard ML | |
| MIT License | - |
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sml-parseq
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Provably Space-Efficient Parallel Functional Programming
Author here. One of the cool things about the property we're using here---disentanglement---is that it specifically allows for shared data, under only mild restrictions. This allows us, for example, to implement fast libraries which utilize shared mutable state for efficiency under the hood. A good example is our parallel arrays library (https://github.com/shwestrick/sml-parseq), which is "purely functional" in terms of its interface, but not its implementation.
It's helpful here to distinguish parallelism from concurrency. Disentanglement naturally emerges in data-race-free parallel programs, which have no concurrency. But certainly, you bring up a good point for programs that are highly concurrent in addition to being highly parallel. There's lots of work already on concurrent functional programming, for example CML (https://en.wikipedia.org/wiki/Concurrent_ML), and we think these ideas could be adapted to work with disentanglement really well.
mlkit
- [MLKit version 4.6.0](https://github.com/melsman/mlkit) is released
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Getting started with Standard ML
The developer mailing lists for Poly/ML and MLton are active and the maintainers are very friendly. The MLKit Github issues are active. Help needed for SML/NJ.
What are some alternatives?
sml-analyzer - An experimental language server for SomewhatML
smlpkg - Generic package manager for Standard ML libraries and programs
apltail - APL Compiler targeting a typed array intermediate language
mlton - The MLton repository
LunarML - The Standard ML compiler that produces Lua/JavaScript
sml-rmath - SML library for the Rmath library, with seven SML implementations/dialects
install-mlkit - Action for installing MLKit
sml-bdb - Berkeley DB binding for Standard ML
smlnj-viscomp-example - An example of how to use SML/NJ's Visible Compiler APIs
awesome-sml - Useful things for Standard ML