Update documentation with pointers to run_job_pool (#102)

* Update documentation with pointers to run_job_pool

* Update faq.md

Author: aakahlow

docs/main-doc/faq.md

@@ -16,6 +16,15 @@ For example, assuming created run object (in a launch script) is called run, you
 run.run()
 ```
 
+**Is there a more user-friendly way to launch gem5 jobs?**
+
+You can use python multiprocessing library based function calls (provided by gem5art) to launch multiple gem5 jobs in parallel.
+Specifically, you can call the following function in your gem5art launch script:
+
+```python
+run_job_pool([a list containing all run objects you want to execute], num_parallel_jobs = [Number of parralel jobs you want to run])
+```
+
 **How to access/search the files/artifacts in the database?**
 
 You can use the pymongo API functions to access the files in the database.

docs/main-doc/tasks.md

@@ -6,8 +6,21 @@ Authors:
 # Tasks
 
 ## Introduction
-The actual gem5 experiment is executed with the help of [Celery](http://www.celeryproject.org/).
-Celery server can run many gem5 tasks asynchronously. Once a user creates a gem5Run object (discussed previously) while using gem5art, this object needs to be passed to a method run_gem5_instance() registered with Celery app, which is responsible for starting a Celery task to run gem5. The other argument needed by the run_gem5_instance() is the current working directory. Fundamentally, celery is not required to run gem5 jobs with gem5art and a job can be directly launched by calling run() function of gem5Run object. However, celery can do a better job of managing multiple runs.
+The actual gem5 experiment can be executed with the help of [Python multiprocessing support](https://docs.python.org/3/library/multiprocessing.html), [Celery](http://www.celeryproject.org/) or even without using any job manager (a job can be directly launched by calling run() function of gem5Run object).
+
+## Use of Python Multiprocessing
+
+This is a simple way to run gem5 jobs using Ptyhon multiprocessing library. 
+You can use the following function in your job launch script to execute gem5art run objects:
+
+```python
+run_job_pool([a list containing all run objects you want to execute], num_parallel_jobs = [Number of parralel jobs you want to run])
+```
+The implementation of `run_job_pool` can be found [here](https://github.com/darchr/gem5art/blob/master/tasks/gem5art/tasks/tasks.py#L50).
+
+## Use of Celery
+
+Celery server can run many gem5 tasks asynchronously. Once a user creates a gem5Run object (discussed previously) while using gem5art, this object needs to be passed to a method run_gem5_instance() registered with Celery app, which is responsible for starting a Celery task to run gem5. The other argument needed by the run_gem5_instance() is the current working directory.
 
 Celery server can be started with the following command: