tree: 69571d9ce084b716d57ff32aeac9147db14d627c [path history] [tgz]
  1. gem5art/
  2. mypy.ini

gem5art tasks package

This package contains two parallel task libraries for running gem5 experiments. he actual gem5 experiment can be executed with the help of Python multiprocessing support, Celery or even without using any job manager (a job can be directly launched by calling run() function of gem5Run object). This package implicitly depends on the gem5art run package.

Please cite the gem5art paper when using the gem5art packages. This documentation can be found on the gem5 website

Use of Python Multiprocessing

This is a simple way to run gem5 jobs using Python multiprocessing library. You can use the following function in your job launch script to execute gem5art run objects:

run_job_pool([a list containing all run objects you want to execute], num_parallel_jobs = [Number of parallel jobs you want to run])

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:

celery -E -A gem5art.tasks.celery worker --autoscale=[number of workers],0

This will start a server with events enabled that will accept gem5 tasks as defined in gem5art. It will autoscale from 0 to desired number of workers.

Celery relies on a message broker RabbitMQ for communication between the client and workers. If not already installed, you need to install RabbitMQ on your system (before running celery) using:

apt-get install rabbitmq-server

Monitoring Celery

Celery does not explicitly show the status of the runs by default. flower, a Python package, is a web-based tool for monitoring and administrating Celery.

To install the flower package,

pip install flower

You can monitor the celery cluster doing the following:

flower -A gem5art.tasks.celery --port=5555

This will start a webserver on port 5555.

Removing all tasks

celery -A gem5art.tasks.celery purge

Viewing state of all jobs in celery

celery -A gem5art.tasks.celery events

Tasks API Documentation


.. automodule:: gem5art.tasks.tasks

.. automodule:: gem5art.tasks.celery