Tullio.jl
futhark
| Tullio.jl | futhark | |
|---|---|---|
| 4 | 52 | |
| 583 | 2,293 | |
| - | 1.8% | |
| 5.2 | 9.8 | |
| 5 months ago | 5 days ago | |
| Julia | Haskell | |
| MIT License | ISC License |
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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.
Tullio.jl
- A basic introduction to NumPy's einsum
- Generic GPU Kernels
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Julia: Faster than Fortran, cleaner than Numpy
Julia ships with OpenBLAS, in some cases there are pure-Julia "blas-like" routine that can be as fast:
https://github.com/mcabbott/Tullio.jl
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?
Zygote.jl - 21st century AD
arrayfire-rust - Rust wrapper for ArrayFire
CUDA.jl - CUDA programming in Julia.
dex-lang - Research language for array processing in the Haskell/ML family
ForwardDiff.jl - Forward Mode Automatic Differentiation for Julia
Halide - a language for fast, portable data-parallel computation
TensorOperations.jl - Julia package for tensor contractions and related operations
julia - The Julia Programming Language
JuliaInterpreter.jl - Interpreter for Julia code
BQN - An APL-like programming language. Self-hosted!
DaemonMode.jl - Client-Daemon workflow to run faster scripts in Julia
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.