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Update gpu_lecture.md
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csccva authored Aug 30, 2024
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# Interoperability with libraries (BONUS)


- Often it may be useful to integrate the accelerated OpenACC code with
other accelerated libraries
- Often it may be useful to integrate the accelerated OpenACC code with other accelerated libraries
- MPI, CUBLAS, CUFFT, MAGMA, CULA...
- to mix OpenACC and CUDA:
- Use OpenACC for memory management
- Introduce OpenACC in existing GPU code
- Use CUDA for tightest kernels, otherwise OpenACC
- mix OpenACC and CUDA: OpenACC for memory management and simple loops, use CUDA for heavy loops.

```Fortran
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