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Problems with CUDA device #102

@XzzX

Description

@XzzX

I tried to run the provided LJ example on a GPU:

./cbnMD -il in.lj --device-type CUDA

The job crashed with the following error message:

Kokkos::Cuda::initialize WARNING: Cuda is allocating into UVMSpace by default
                                  without setting CUDA_LAUNCH_BLOCKING=1.
                                  The code must call Cuda().fence() after each kernel
                                  or will likely crash when accessing data on the host.
terminate called after throwing an instance of 'std::runtime_error'
  what():  cudaDeviceSynchronize() error( cudaErrorIllegalAddress): an illegal memory access was encountered /.../kokkos/core/src/Cuda/Kokkos_Cuda_Instance.cpp:144
Traceback functionality not available

What did I do wrong?

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