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mirror of https://github.com/ARM-software/workload-automation.git synced 2025-01-18 20:11:20 +00:00
Sergei Trofimov cdc7c96cdf spec2000: fix cpumask for generic
spec2000 expects binaries to be optimised for particular cores and uses
Device's core_names to figure out which cores the benchmark should run
on.

There is one special case, which is "generic", which is not optimised
for a particular uarch. cpumask for this was resolved the same way,
failing the lookup, resulting in the invalid mask 0x0.

To fix this, "generic" is now handled by specifying the mask for all
available CPUs.
2017-08-22 15:38:27 +01:00
2017-08-16 16:24:38 +01:00
2015-12-09 16:52:39 +00:00
2017-08-22 15:38:27 +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://workload-automation.readthedocs.io/en/latest/>`_.

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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