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Hello Marie,
at the risk of blowing the scope of this course before it even starts:
I'm currently porting a simulation program (essentially a tensor network like in ML, but with dense matrices) in cupy and dask for
(a) running on GPU if the matrices fit in the GPU's memory
(b) on a single node with CPU only
(c) distributed across a number of nodes, if one node's memory in insuficcient.
It looks like PyTorch is in some sense a frontend/wrapper for both cupy and dask. Do you know if that is correct? Or do you have any idea who might be able to help me with this?
Thanks, Philipp
Installing Python and PyTorch · Machine-learning
https://westgrid-ml.netlify.app/school/pt-04-install.html
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