(or whichever path has your installation). In some cases, you might
need to specify manually which of your C++ compilers should be used,
-e.g. with the advanced option ``CUDA_HOST_COMPILER``. To make it
+e.g. with the advanced option ``CUDA_HOST_COMPILER``.
+
+To make it
possible to get best performance from NVIDIA Tesla and Quadro GPUs,
you should install the `GPU Deployment Kit
<https://developer.nvidia.com/gpu-deployment-kit>`_ and configure
log file messages will be produced. Background details can be found at
this `NVIDIA blog post
<http://devblogs.nvidia.com/parallelforall/increase-performance-gpu-boost-k80-autoboost/>`_.
+NVML support is only available if detected, and may be disabled by
+turning off the ``GMX_USE_NVML`` CMake advanced option.
By default, optimized code will be generated for CUDA architectures
supported by the nvcc compiler (and the |Gromacs| build system).