futhark
HVM
futhark | HVM | |
---|---|---|
52 | 107 | |
2,293 | 7,156 | |
1.8% | 2.4% | |
9.8 | 6.7 | |
3 days ago | 2 months ago | |
Haskell | Rust | |
ISC License | MIT License |
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futhark
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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/
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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
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Two-tier programming language
Futhark https://futhark-lang.org/
- Best book on writing an optimizing compiler (inlining, types, abstract interpretation)?
- Functional GPU programming: what are alternatives or generalizations of the idea of "number of cycles must be known at compile time"?
- APL: An Array Oriented Programming Language (2018)
HVM
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SaberVM
Reminds me of HVM[0]
[0]https://github.com/HigherOrderCO/HVM
Really interesting to see how new lang concepts and refinements keep popping up this last decade, between Vale, Gleam, Hylo, Austral...
Linear types really opened up lots of ways to improve memory management and compilation improvements.
- GPU Survival Toolkit for the AI age: The bare minimum every developer must know
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A new F# compiler feature: graph-based type-checking
I have a tangential question that is related to this cool new feature.
Warning: the question I ask comes from a part of my brain that is currently melted due to heavy thinking.
Context: I write a fair amount of Clojure, and in Lisps the code itself is a tree. Just like this F# parallel graph type-checker. In Lisps, one would use Macros to perform compile-time computation to accomplish something like this, I think.
More context: Idris2 allows for first class type-driven development, where the types are passed around and used to formally specify program behavior, even down to the value of a particular definition.
Given that this F# feature enables parallel analysis, wouldn't it make sense to do all of our development in a Lisp-like Trie structure where the types are simply part of the program itself, like in Idris2?
Also related, is this similar to how HVM works with their "Interaction nets"?
https://github.com/HigherOrderCO/HVM
https://www.idris-lang.org/
https://clojure.org/
I'm afraid I don't even understand what the difference between code, data, and types are anymore... it used to make sense, but these new languages have dissolved those boundaries in my mind, and I am not sure how to build it back up again.
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A History of Functional Hardware
Impressive presentation but I find two things missing in particular:
* GRIN [1] - arguably a breakthrough in FP compilation; there are several implementation based on this
* HVM [2] - parallel optimal reduction. The results are very impressive.
[1] https://link.springer.com/chapter/10.1007/3-540-63237-9_19
[2] https://github.com/HigherOrderCO/HVM
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Is the abstraction of lazy-functional-purity doomed to leak?
Purity has nothing to do with memoization. Haskell's semantics never "rewrite under a lambda" (unlike, e.g. HVM). Calling (\_ -> e) () twice will (modulo optimizations) always perform the computation in e twice.
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Can one use lambda calculus as an IR?
The most recent exploration of this, that I'm aware of is HVM (another intermediate language / runtime), although this one is not actually based on the lambda calculus, but on the interaction calculus.
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The Rust I Wanted Had No Future
Then, actually unrelated but worth mentioning: HVM. Finally, something new on the functional front that isn't dependent types!
- The Halting Problem Is Decidable on a Set of Asymptotic Probability One (2006)
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Bachelor Thesis Topic
If you are into functional PL, how about https://github.com/HigherOrderCO/HVM? You could experiment if you could schedule that on a GPU?
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For those of you self taught,how did you cope with distractions while using a computer ?
In the interest of seeking ways of optimizing my code, I stumbled upon http://www.rntz.net/datafun/ as a means to do incremental computations of fixpoints while avoiding redundant work. And also the idea of automatic parallelism achieved by using Interaction Nets as a model of computation https://github.com/HigherOrderCO/HVM.
What are some alternatives?
arrayfire-rust - Rust wrapper for ArrayFire
Kind - A next-gen functional language [Moved to: https://github.com/Kindelia/Kind2]
dex-lang - Research language for array processing in the Haskell/ML family
rust-gpu - 🐉 Making Rust a first-class language and ecosystem for GPU shaders 🚧
Halide - a language for fast, portable data-parallel computation
SICL - A fresh implementation of Common Lisp
julia - The Julia Programming Language
Sharp-Bilinear-Shaders - sharp bilinear shaders for RetroPie, Recalbox and Libretro for sharp pixels without pixel wobble and minimal blurring
BQN - An APL-like programming language. Self-hosted!
fslang-suggestions - The place to make suggestions, discuss and vote on F# language and core library features
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.
atom - A DSL for embedded hard realtime applications.