Update README.md

Mini cleanup

Author: mgermain

README.md

@@ -2,7 +2,7 @@
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 # Smart Dispatch
-A batch job launcher for the Mammouth supercomputer.
+A batch launcher for supercomputers using qsub (Torque).
 
 ## Installing
 `pip install git+https://github.com/SMART-Lab/smartdispatch`
@@ -12,30 +12,27 @@ See `smart_dispatch.py --help`
 
 ## Examples
 ###Basic
-To launch a job composed of four variations of a simple command:
+A batch composed of four variations of a simple command.
 
 `smart_dispatch.py -q qtest@mp2 launch python my_script.py "1 2" 80 "tanh sigmoid" 0.1`
 
-Will generate 4 different commands, launch them on the queue qtest@mp2 and save output/error logs in a folder `./SMART_DISPATCH_LOGS/{job_id}/logs/`.
-
+This will generate 4 different commands and launch them on the queue qtest@mp2:
 ```
 python my_script.py 1 80 sigmoid 0.1
 python my_script.py 1 80 tanh 0.1
 python my_script.py 2 80 sigmoid 0.1
 python my_script.py 2 80 tanh 0.1
 ```
+The output/error logs in are saved in the folder `./SMART_DISPATCH_LOGS/{job_id}/logs/`.
 
-###Using a pool of workers
-Building upon previous example, one could prefer using a pool of workers to achieve the execution of the commands:
 
+###Using a pool of workers
 `smart_dispatch.py -q qtest@mp2 -p 2 launch python my_script.py "1 2" 80 "tanh sigmoid" 0.1`
 
-Will still generate four different commands but, instead of launching them, two worker commands will be launched on qtest@mp2 to execute all generated commands.
+This will behave exactly the same way as the basic example above but the number of commands launched on the supercomputer will be 2 instead of 4 and each job will be in charge of running 2 commands each.
 
 
 ###Resuming a job (if launched using pool of workers)
-Given the `job_id` (i.e. folder's name in `SMART_DISPATCH_LOGS/{job_id}/`) one can resume a job that was launched using the pool of workers option:
-
-`smart_dispatch.py -q qtest@mp2 -p 4 resume job_id`
+Given the `job_id` (i.e. folder's name in `SMART_DISPATCH_LOGS/{job_id}/`) one can relaunch jobs that did not finished executing(maybe because of exeeded walltime).
 
-Will launch four worker commands to resume the execution of generated commands. Note that if a command was not finished, it will be reexecuted thus one has to make sure commands are re-runnable.
+`smart_dispatch.py -q qtest@mp2 -p 2 resume job_id`