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First phase of GPU project:
- Investigate best profiling framework for testing GPU speed-up.
- Set up automated profiling on GPU (either remote *e.g.* Google Collab, Kaggle Kernels) or local (*e.g.* on NeuroSpin machine).
- Prepare data metaclass for choosing appropriate device for computations (CPU or GPU).
- Prepare first implementation using Forward-Backward algorithm and simplest possible set-up (*i.e.* no gradient, identity operator, *etc.*)