Ray

6 Steps

1. 1

   Install Ray: Install Ray using pip. This will give you the core Ray libraries and command-line tools.

2. 2

   Initialize Ray: Initialize a Ray cluster. This starts the Ray runtime environment.

3. 3

   Define a Ray Task: Define a Python function and decorate it with `@ray.remote` to turn it into a Ray task. Ray tasks can be executed in parallel on the Ray cluster.

4. 4

   Execute Tasks in Parallel: Call the remote function using `.remote()` to submit the task to the Ray cluster. This returns a `Future` (an `ObjectID`) immediately.

5. 5

   Retrieve Results: Use `ray.get()` to retrieve the results of the Ray tasks. `ray.get()` blocks until the results are available.

6. 6

   Shutdown Ray: Shutdown the Ray cluster when you are finished.