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Update introduction.md
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no trivial batching
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lxvm authored Feb 22, 2024
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Expand Up @@ -392,8 +392,8 @@ Now, let's compare the performance of the batch and non-batch modes
```

```@example introduction
solve(exprob, Koopman(), batch = 0, quadalg = CubaSUAVE())
@time solve(exprob, Koopman(), batch = 0, quadalg = CubaSUAVE())
solve(exprob, Koopman(), quadalg = CubaSUAVE())
@time solve(exprob, Koopman(), quadalg = CubaSUAVE())
```

It is also possible to parallelize across the GPU. However, one must be careful of the limitations of ensemble solutions with the GPU. Please refer to [DiffEqGPU.jl](https://github.com/SciML/DiffEqGPU.jl) for details.
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