https://github.com/brosnanyuen/raybnn_graph

Graph Manipulation Library For GPUs, CPUs, and FPGAs via CUDA, OpenCL, and oneAPI
https://github.com/brosnanyuen/raybnn_graph

cuda gpu graph graph-algorithms neural-network neural-networks opencl raybnn rust

Last synced: 3 months ago
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Graph Manipulation Library For GPUs, CPUs, and FPGAs via CUDA, OpenCL, and oneAPI

• Host: GitHub
• URL: https://github.com/brosnanyuen/raybnn_graph
• Owner: BrosnanYuen
• License: gpl-3.0
• Created: 2023-10-29T00:15:15.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-06-18T06:10:21.000Z (8 months ago)
• Last Synced: 2024-08-11T12:59:09.729Z (6 months ago)
• Topics: cuda, gpu, graph, graph-algorithms, neural-network, neural-networks, opencl, raybnn, rust
• Language: Rust
• Homepage:
• Size: 48.8 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# RayBNN_Graph

Graph Manipulation Library For GPUs, CPUs, and FPGAs via CUDA, OpenCL, and oneAPI

# Install Arrayfire

Install the Arrayfire 3.9.0 binaries at [https://arrayfire.com/binaries/](https://arrayfire.com/binaries/)

or build from source

[https://github.com/arrayfire/arrayfire/wiki/Getting-ArrayFire](https://github.com/arrayfire/arrayfire/wiki/Getting-ArrayFire)

# Add to Cargo.toml

```

arrayfire = { version = "3.8.1", package = "arrayfire_fork" }

rayon = "1.10.0"

num = "0.4.3"

num-traits = "0.2.19"

half = { version = "2.4.1" , features = ["num-traits"] }

RayBNN_Sparse = "2.0.2"

RayBNN_DataLoader = "2.0.3"

RayBNN_Graph = "2.0.3"

```

# List of Examples