https://github.com/iitis/matrixensembles.jl

https://github.com/iitis/matrixensembles.jl

Last synced: over 1 year ago
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• Host: GitHub
• URL: https://github.com/iitis/matrixensembles.jl
• Owner: iitis
• License: gpl-3.0
• Created: 2020-10-25T14:24:06.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2023-05-02T12:49:02.000Z (about 3 years ago)
• Last Synced: 2025-02-21T20:18:39.284Z (over 1 year ago)
• Language: Julia
• Size: 345 KB
• Stars: 2
• Watchers: 3
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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# MatrixEnsembles.jl

## Sampling random matrices on the GPU

We have introduced an experimental implementation of sampling of random matrices and random quantum objects on the GPU. In order to use this feature, the `CUDA` package is required. To import `MatrixEnsembles` with GPU support use

```julia

using CUDA, MatrixEnsembles

```

In order to sample use the `curand` method on a distribuiotn. For instance

```julia

julia> c = CUE(4096)

CircularEnsemble{2}(4096, GinibreEnsemble{2}(4096, 4096))

julia> @time rand(c);

 10.452419 seconds (8.22 k allocations: 2.005 GiB, 2.18% gc time)

julia> @time MatrixEnsembles.curand(c);

  0.459959 seconds (624.79 k allocations: 21.493 MiB)

```

Please report any bugs/problems and feature requests.