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Top 4 Julia Cuda Projects
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ParallelStencil.jl
Package for writing high-level code for parallel high-performance stencil computations that can be deployed on both GPUs and CPUs
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ImplicitGlobalGrid.jl
Almost trivial distributed parallelization of stencil-based GPU and CPU applications on a regular staggered grid
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NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Julia Cuda discussion
Julia Cuda related posts
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Ask HN: Best way to learn GPU programming?
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How is Julia Performance with GPUs (for LLMs)?
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Parallélisation distribuée presque triviale d’applications GPU et CPU basées sur des Stencils avec…
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Generic GPU Kernels
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Announcing The Rust CUDA Project; An ecosystem of crates and tools for writing and executing extremely fast GPU code fully in Rust
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[Media] 100% Rust path tracer running on CPU, GPU (CUDA), and OptiX (for denoising) using one of my upcoming projects. There is no C/C++ code at all, the program shares a single rust crate for the core raytracer and uses rust for the viewer and renderer.
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Suggest me a Good library for scientific computing in Julia with good support for multi-core CPUs and GPUs.
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Index
What are some of the best open-source Cuda projects in Julia? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | CUDA.jl | 1,266 |
| 2 | ParallelStencil.jl | 334 |
| 3 | ImplicitGlobalGrid.jl | 174 |
| 4 | FoldsCUDA.jl | 57 |
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