Alignment
futhark
| Alignment | futhark | |
|---|---|---|
| 1 | 52 | |
| 5 | 2,293 | |
| - | 1.8% | |
| 10.0 | 9.8 | |
| over 5 years ago | 5 days ago | |
| C++ | Haskell | |
| MIT License | ISC License |
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.
Alignment
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Zig self hosted compiler is now capable of building itself
To clarify I meant as int8/int16's are packed in structs to compare to struct bitfields. Can't recall about the stack rules. Here's more discussion:
http://www.catb.org/esr/structure-packing/
https://github.com/Twon/Alignment/blob/master/docs/alignment...
Also ARM for example doesn't have 8/16 bit registers so int8 or int16 will use a 32bit register:
https://stackoverflow.com/a/23716920
Curiosity got to me, perhaps Zig had improved significantly. So I compared the first benchmark I found (kostya/benchmarks/bf) with Zig with Nim. For the smaller input (bench.b) Zig did run with ~22% less RAM (about 20kB less).
However, for the larger input (mandel.b) Nim+ARC used ~33% less RAM in safe mode: Nim 2.163mb -d:release; Zig 2.884mb -O ReleaseSafe; Zig 2.687mb -O ReleaseFast. The Nim requires 0.5mb less ram and the code is ~40% shorter. I don't have time to try out the Rust or Go versions though.
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)
What are some alternatives?
wabt - The WebAssembly Binary Toolkit
arrayfire-rust - Rust wrapper for ArrayFire
septum - Context-based code search tool
dex-lang - Research language for array processing in the Haskell/ML family
benchmarks - Some benchmarks of different languages
Halide - a language for fast, portable data-parallel computation
Rustlings - :crab: Small exercises to get you used to reading and writing Rust code!
julia - The Julia Programming Language
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
BQN - An APL-like programming language. Self-hosted!
v-mode - 🌻 An Emacs major mode for the V 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.