futhark
:boom::computer::boom: A data-parallel functional programming language (by diku-dk)
dex-lang
Research language for array processing in the Haskell/ML family (by google-research)
| futhark | dex-lang | |
|---|---|---|
| 55 | 25 | |
| 2,396 | 1,579 | |
| 1.0% | 0.0% | |
| 9.6 | 6.5 | |
| about 18 hours ago | 9 days ago | |
| Haskell | Haskell | |
| ISC License | BSD 3-clause "New" or "Revised" License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
futhark
Posts with mentions or reviews of futhark.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-09-02.
- Ask HN: Resources for GPU Compilers?
- Ask HN: Who wants to be hired? (July 2024)
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Bend: The first high-level language that runs natively on GPUs (via HVM2)
Nowadays 210 is actually parallel! You can run 210-style code using MaPLe (https://github.com/MPLLang/mpl) and get competitive performance with respect to C/C++.
If you liked 210, you might also like https://futhark-lang.org/ which is an ML-family language that compiles to GPU with good performance.
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What downsides exist to Futhark? Seems almost too good to be true?
Why Futhark? (futhark-lang.org)
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GPU Programming: When, Why and How?
There is no on-going work to support Metal apart from the work done by Miles. There's an old issue about it: https://github.com/diku-dk/futhark/issues/853#issuecomment-5...
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Is Parallel Programming Hard, and, If So, What Can You Do About It? v2023.06.11a
Functional programming can be a great way to handle parallel programming in a sane way. See the Futhark language [1], for example, that accepts high-level constructs like map and convert them to the appropriate machine code, either on the CPU or the GPU.
[1] https://futhark-lang.org/
-
Is there a programming language that will blow my mind?
Futhark - use a functional language to program the gpu
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Does This Language Exist?
You might want to look into Futhark, although it's mainly designed for writing GPU code.
- Learn WebGPU
-
Two-tier programming language
Futhark https://futhark-lang.org/
dex-lang
Posts with mentions or reviews of dex-lang.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-01-13.
-
Thinking in an Array Language
A really nice approach to this I've seen recently is Google's research on [Dex](https://github.com/google-research/dex-lang).
- Function Composition in Programming Languages – Conor Hoekstra – CppNorth 2023 [video]
- Dex Lang: Research language for array processing in the Haskell/ML family
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[D] Have their been any attempts to create a programming language specifically for machine learning?
Dex
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[D] PyTorch 2.0 Announcement
Have you tried Dex? https://github.com/google-research/dex-lang It is in a relatively early stage, but it is exploring some interesting parts of the design space.
- Mangle, a programming language for deductive database programming
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Looking for languages that combine algebraic effects with parallel execution
I think [Dex](https://github.com/google-research/dex-lang) might be along the lines of what you're looking for, although its focus is on SIMD GPU-style parallelism rather than thread-level parallelism.
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“Why I still recommend Julia”
Dex proves indexing correctness without a full dependent type system, including loops.
See: https://github.com/google-research/dex-lang/pull/969
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Haskell for Artificial Intelligence?
In case you want to see one research direction that's combining practical machine learning and functional programming, one of the authors of JAX (and the main author of its predecessor, Autograd) is writing Dex (https://github.com/google-research/dex-lang), a functional language for array processing. The compiler itself is written in Haskell. JAX is one of the most popular libraries for doing a lot of machine learning these days, along with Tensorflow and PyTorch. You might also want to see the bug in the JAX repo about adding Haskell support, for some context: https://github.com/google/jax/issues/185
What are some alternatives?
When comparing futhark and dex-lang you can also consider the following projects:
arrayfire-rust - Rust wrapper for ArrayFire
jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Halide - a language for fast, portable data-parallel computation
julia - The Julia Programming Language
kompute - General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.
hasktorch - Tensors and neural networks in Haskell
BQN - An APL-like programming language
Co-dfns - High-performance, Reliable, and Parallel APL
CIPs - Cardano Improvement Proposals (CIPs)
UwUpp - The next generation esoteric language
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration