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Update Julia GPU link
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docs/src/knownissues.md

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@@ -85,7 +85,7 @@ To circumvent this, one has to ensure the CUDA memory pool to be set to `none`:
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```
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export JULIA_CUDA_MEMORY_POOL=none
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```
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_More about CUDA.jl [memory environment-variables](https://juliagpu.gitlab.io/CUDA.jl/usage/memory/#Environment-variables)._
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_More about CUDA.jl [memory environment-variables](https://cuda.juliagpu.org/stable/usage/memory/#Memory-pool)._
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### Hints to ensure CUDA-aware MPI to be functional
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