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SLAC can provide a hosted instance of cryosparc that can make use of the slurm cluster that we have onsite.

Just provide Yee with your cryosparc license number at https://cryosparc.com/download/ and you will be provided the web frontend of cryosparc that will run at SLAC.

 

You will need to make one small change due to our AFS file system before you will be able to submit jobs tho:

 

ssh into a slac machine (eg slacgpu.slac.stanford.edu) and run

 

cd ~${USER}/.cache
rm -rf pycuda
mkdir /gpfs/slac/cryo/fs1/u/${USER}/.cache/pycuda
ln -sf /gpfs/slac/cryo/fs1/u/${USER}/.cache/pycuda ~/.cache/pycuda

 

otherwise, you'll get a permissions error about the pycuda cache

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