Parla.py
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Resource Specifications Should Be Per-Architecture
Currently the end user specifies resource use for a task independent of the architecture used. This doesn't make practical sense since if something runs on a CPU it may use an entirely different set of resources than if it runs on a GPU.
It's also unclear how to specify resources for a task that wants to utilize multiple devices.