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mirror of https://github.com/ARM-software/workload-automation.git synced 2025-01-31 10:11:17 +00:00
Sergei Trofimov 3a99a284c4 cpustate: ensure known initial state
cpustate result processor generates a view of the cpu subsystem power
state during execution of a workload from cpu_idle and cpu_frequency
ftraces. There exists a period before the first events in those
categories are seen where the state of the cpu subsystem is (partially)
unknown and it is reported as such by the result processor.

Unknown state usually exists for a relatively short period of time and
is generally not a big deal. For certain kinds of workloads, however, it
may constitude a significant protion of the trace.

Changes in this commit attempt to deal with this by a) reading starting
cpu frequencies and writing them into the trace, and b) nudging each
core to bring it out of idle; this happens before the start marker, so
that the system state between the markers should be completely known.
2016-02-04 16:08:22 +00:00
2015-12-09 16:52:39 +00:00
2016-01-25 13:34:24 +00:00
2015-12-09 16:52:39 +00:00
2015-09-03 13:55:44 +01:00

Workload Automation
+++++++++++++++++++

Workload Automation (WA) is a framework for executing workloads and collecting
measurements on Android and Linux devices. WA includes automation for nearly 50
workloads (mostly Android), some common instrumentation (ftrace, ARM
Streamline, hwmon).  A number of output formats are supported. 

Workload Automation is designed primarily as a developer tool/framework to
facilitate data driven development by providing a method of collecting
measurements from a device in a repeatable way.

Workload Automation is highly extensible. Most of the concrete functionality is
implemented via plug-ins, and  it is easy to write new plug-ins to support new
device types, workloads, instrumentation or output processing. 


Requirements
============

- Python 2.7
- Linux (should work on other Unixes, but untested)
- Latest Android SDK (ANDROID_HOME must be set) for Android devices, or
- SSH for Linux devices


Installation
============

To install::

        python setup.py sdist
        sudo pip install dist/wlauto-*.tar.gz

Please refer to the `installation section <./doc/source/installation.rst>`_ 
in the documentation for more details.


Basic Usage
===========

Please see the `Quickstart <./doc/source/quickstart.rst>`_ section of the 
documentation.


Documentation
=============

You can view pre-built HTML documentation `here <http://pythonhosted.org/wlauto/>`_.

Documentation in reStructuredText format may be found under ``doc/source``. To
compile it into cross-linked HTML, make sure you have `Sphinx
<http://sphinx-doc.org/install.html>`_ installed, and then ::

        cd doc
        make html


License
=======

Workload Automation is distributed under `Apache v2.0 License
<http://www.apache.org/licenses/LICENSE-2.0>`_. Workload automation includes
binaries distributed under differnt licenses (see LICENSE files in specfic
directories).


Feedback, Contrubutions and Support
===================================

- Please use the GitHub Issue Tracker associated with this repository for
  feedback.
- ARM licensees may contact ARM directly via their partner managers.
- We welcome code contributions via GitHub Pull requests. Please see
  "Contributing Code" section of the documentation for details.
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