Summary of changes:
 - Support OpenMP target offload when NMODL and GPU support are enabled.
 (#693, #704, #705, #707, #708, #716, #719)
 - Use sensible defaults for the --nwarp parameter, improving the performance
 of the Hines solver with --cell-permute=2 on GPU. (#700, #710, #718)
 - Use a Boost memory pool, if Boost is available, to reduce the number of
 independent CUDA unified memory allocations used for Random123 stream
 objects. This speeds up initialisation of models using Random123, and also
 makes it feasible to use NSight Compute on models using Random123 and for
 NSight Systems to profile initialisation. (#702, #703)
 - Use -cuda when compiling with NVHPC and OpenACC or OpenMP, as recommended
 on the NVIDIA forums. (#721)
 - Do not compile for compute capability 6.0 by default, as this is not
 supported by NVHPC with OpenMP target offload.
 - Add new GitLab CI tests so we test CoreNEURON + NMODL with both OpenACC and
 OpenMP. (#698, #717)
 - Add CUDA runtime header search path explicitly, so we don't rely on it being
 implicit in our NVHPC localrc.
 - Cleanup unused code. (#711)
Co-authored-by: Pramod Kumbhar <pramod.kumbhar@epfl.ch>
Co-authored-by: Ioannis Magkanaris <iomagkanaris@gmail.com>
Co-authored-by: Christos Kotsalos <christos.kotsalos@epfl.ch>
Co-authored-by: Nicolas Cornu <nicolas.cornu@epfl.ch>

Summary of changes:
 - Support OpenMP target offload when NMODL and GPU support are enabled.
 (BlueBrain/CoreNeuron#693, BlueBrain/CoreNeuron#704, BlueBrain/CoreNeuron#705, BlueBrain/CoreNeuron#707, BlueBrain/CoreNeuron#708, BlueBrain/CoreNeuron#716, BlueBrain/CoreNeuron#719)
 - Use sensible defaults for the --nwarp parameter, improving the performance
 of the Hines solver with --cell-permute=2 on GPU. (BlueBrain/CoreNeuron#700, BlueBrain/CoreNeuron#710, BlueBrain/CoreNeuron#718)
 - Use a Boost memory pool, if Boost is available, to reduce the number of
 independent CUDA unified memory allocations used for Random123 stream
 objects. This speeds up initialisation of models using Random123, and also
 makes it feasible to use NSight Compute on models using Random123 and for
 NSight Systems to profile initialisation. (BlueBrain/CoreNeuron#702, BlueBrain/CoreNeuron#703)
 - Use -cuda when compiling with NVHPC and OpenACC or OpenMP, as recommended
 on the NVIDIA forums. (BlueBrain/CoreNeuron#721)
 - Do not compile for compute capability 6.0 by default, as this is not
 supported by NVHPC with OpenMP target offload.
 - Add new GitLab CI tests so we test CoreNEURON + NMODL with both OpenACC and
 OpenMP. (BlueBrain/CoreNeuron#698, BlueBrain/CoreNeuron#717)
 - Add CUDA runtime header search path explicitly, so we don't rely on it being
 implicit in our NVHPC localrc.
 - Cleanup unused code. (BlueBrain/CoreNeuron#711)
Co-authored-by: Pramod Kumbhar <pramod.kumbhar@epfl.ch>
Co-authored-by: Ioannis Magkanaris <iomagkanaris@gmail.com>
Co-authored-by: Christos Kotsalos <christos.kotsalos@epfl.ch>
Co-authored-by: Nicolas Cornu <nicolas.cornu@epfl.ch>
CoreNEURON Repo SHA: BlueBrain/CoreNeuron@423ae6c