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Description
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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