Functional-Benchmarks
fir
Functional-Benchmarks | fir | |
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3 | 3 | |
32 | - | |
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4.2 | - | |
11 months ago | - | |
Lean | ||
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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.
Functional-Benchmarks
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First (1/5) steps with HVM, A massively parallel, optimal functional runtime in Rust
By leveraging HVM's speed and paralelism, Kind manages to be faster than all the big name proof assistants.
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HVM, the parallel functional runtime, will soon run on GPUs!
I agree. Keep in mind our language (Kind-Lang) does target the HVM, and it is really promising. The type-checker is the fastest among proof assistants, by far; the error messages are really nice; it has a fully dependent type system which is a breath of fresh air to work with. It is still not production ready though (mostly due to lack of IO), but is the extend of our effort on that direction. We hope other lang developers get encouraged to target the HVM to. Elm and Idris are great candidates for that IMO.
fir
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HVM, the parallel functional runtime, will soon run on GPUs!
Have you considered FIR for generating Vulcan shaders to hand off to GPUs?
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Is Haskell capable of this?
[2] https://gitlab.com/sheaf/fir
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An Epic future for SPJ
Meanwhile, there's a shader programming EDSL, sponsored by Epic: https://gitlab.com/sheaf/fir
What are some alternatives?
Kind - A next-gen functional language
lambdacube-compiler - LambdaCube 3D is a Haskell-like purely functional language for GPU. Try it out:
Kind2 - A next-gen functional language [Moved to: https://github.com/Kindelia/Kind]
monomer - An easy to use, cross platform, GUI library for writing Haskell applications.
llvm-project - The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
fudgets - A copy of Fudgets so that I can more easily include it as a dependency in a cabal.project file
hvmcc
HVM - A massively parallel, optimal functional runtime in Rust
reflex - Interactive programs without callbacks or side-effects. Functional Reactive Programming (FRP) uses composable events and time-varying values to describe interactive systems as pure functions. Just like other pure functional code, functional reactive code is easier to get right on the first try, maintain, and reuse.