sml-parseq
sml-analyzer
sml-parseq | sml-analyzer | |
---|---|---|
1 | 1 | |
4 | 23 | |
- | - | |
4.5 | 0.0 | |
about 3 years ago | over 1 year ago | |
Standard ML | Rust | |
MIT License | 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.
sml-analyzer
What are some alternatives?
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lsp-ws-proxy - WebSocketify any Language Server
mlkit - Standard ML Compiler and Toolkit
svls - SystemVerilog language server