Workload tracking - wandb.ai / Nsight / Intel Adviser

The SRC Workload GitLab repository contains various projects that allow us to test the functionality of SRC-like services. These tasks and workflows perform scientific analysis, giving the user a result. They do not currently provide any information that tracks the compute load or intermediary metrics. Wandb.ai (weights and biasses) provides a remote server that tracks all metrics when a task/workflow is run, allowing us to tune parameters and refine how hardware is used. It is particularly designed for machine learning applications, allowing you to keep track of your models, loss functions and metrics for any run. In our case, we can make use of it for the ML task, but it will provide benefits to all the tasks in the repo. We also want to compare this to other metric tracking systems which can provide a much more complete picture of the compute load without bloat - this could in future include testing things like Nsight and Intel Advisor, and collecting the metric tracking information in a consistent way.