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Paolo Giannozzi 2024-06-13 21:37:44 +02:00
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README_GPU.md
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@ -37,8 +37,12 @@ is represented by 11000. For the above case, configure QE with:
```
./configure --with-cuda=$CUDA_HOME --with-cuda-cc=70 --with-cuda-runtime=11.0
```
Alternatively, you may use the (deprecated) tool `get_device_props.py` in
directory `dev-tools/`.
One can also use command `nvidia-smi`: for two GPUs with cc70,
```
$ nvidia-smi --query-gpu=compute_cap --format=csv
7.0
7.0
```
Enabling faster communications between GPUs, via NVlink or Infiniband RDMA,
is essential for optimal performance. If your MPI library is built to be