pycuda._driver.LogicError: cuStreamSynchronize failed: an illegal memory access was encountered

[wtempel]

@73km

cuStreamSynchronize failed: an illegal memory access was encountered

Are there any other workloads competing with CryoSPARC for GPU resources?
What is the movie format?
Please can you provide for the worker in question:

@stephan

cryoSPARC worker environment

• Load the cryoSPARC worker environment (for execution of the following commands):
  eval $(<path-to-cryosparc_worker>/bin/cryosparcw env)
• CUDA toolkit path:
  echo $CRYOSPARC_CUDA_PATH
• CUDA toolkit version:
  ${CRYOSPARC_CUDA_PATH}/bin/nvcc --version
• pycuda information (run command in same shell):
  python -c "import pycuda.driver; print(pycuda.driver.get_version())"
• Output of
  uname -a && free -g && nvidia-smi