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updated cluster documentation (#216)

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Richard Liaw 2017-01-19 13:59:54 -08:00 • committed by Robert Nishihara
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15
doc/using-ray-on-a-cluster.md
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@ -27,7 +27,10 @@ should look something like `123.45.67.89:12345`).
```
./ray/scripts/start_ray.sh --redis-address <redis-address>
```
To specify the number of processes to start, use the flag `--num-workers`, as follows:
```
./ray/scripts/start_ray.sh --num-workers <int>
```
Now we've started all of the Ray processes on each node Ray. This includes
- Some worker processes on each machine.
@ -36,11 +39,7 @@ Now we've started all of the Ray processes on each node Ray. This includes
- One Redis server (on the head node).
- One global scheduler (on the head node).
Later when you want to stop the Ray processes, run `./ray/scripts/stop_ray.sh`
on each node.
That should start up all of the Ray processes. To run some commands, start up
Python on one of the nodes in the cluster, and do the following.
To run some commands, start up Python on one of the nodes in the cluster, and do the following.
```python
import ray
@ -57,6 +56,10 @@ def f(x):
ray.get([f.remote(f.remote(f.remote(0))) for _ in range(1000)])
```
### Stopping Ray
When you want to stop the Ray processes, run `./ray/scripts/stop_ray.sh`
on each node.
### Copying Application Files to Other Nodes (Experimental)
If you're running an application that imports Python files that are present