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* 2017.09.24 - added possibility to customize dashboard via --host --port --wfe_host --wfe_port
* 2017.02.09 - providing backwards compatibility layer for WA params (check_abi -> exact_abi)
* 2016.11.04 - making os.getcwd() safer
* 2016.10.21 - added deps on WA when adding new machine
- added 2 Docker images (one with CMD, another one as standalone CK web service)
- added dependency on Android SDK for specific apps such as dhrystone and memcopy
* 2016.10.13 - added WA to CK crowdbenchmarking
- added demo graph for crowd-benchmarking (execution time for a given workload/scenario across platforms)
* 2016.10.11 - added support to cache parameters
- added first crowd-benchmarking scenario
* 2016.10.07 - added support for stat.analysis of results collected by WA
(with possibility to aggregate or overwrite them)
- added modules wa-device, wa-tool, wa-params as well as import from WA
* 2016.10.06 - added reading of default parameters during WA import
- added wa-scenario module and "cpu","fps","markers" entries
- added customization of device config/workload params from CMD
- asking for mandatory params
- added scenario selector to WA dashboard
* 2016.10.05 - moved repo to github.com/ctuning to simplify installation
- improved format of wa-result after meeting with Michael McGeagh
- added ARM's assets to device config
* 2016.10.02 - moved WA workloads in the CK format to ''ck-wa-workloads'' repository
* 2016.09.26 - changed 'device' to 'machine'
* 2016.09.21 - major update of "device" module and compile/run via universal CK program pipeline!
- added support to pass 'params' dict to post-processing script to customize agenda via CK
* 2016.09.18 - major update of all interfaces + using universal device from ck-env
* 2016.07.20 - added wa-results demo
* 2016.07.19 - converted Jupyter Notebook to CK
* 2016.07.01 - fixed a few bugs reported by Michael Mcgeagh
* 2016.06.29 - added package with forked WA: https://github.com/jimboatarm/workload-automation
* 2016.06.27 - added automatic detection of connected device properties (useful for ML)
- added device name (with UID) to WA dashboard
- added basic replay function
* 2016.06.26 - added reading of a device configuration when running workloads
- renamed 'device' to 'wa-device'
* 2016.06.22 - added wa-agenda and wa-result modules
- added multiple agenda run
- added basic view of results (demo via dashboard)
* 2016.06.12 - added and tested Docker image (checked on Linux and Windows + web service)
- major update (device module to configure connected devices,
running workload for a given device,
parsing result,
recording experiment in a unified way)
* 2016.06.09 - adding and testing Docker image (unfinished)
* 2016.06.06 - first CK commit
- added WA soft description and package
- improved Python detection
- added dependency on ck-autotuning repository
- added first workload description (dhrystone) in CK format (program)
- added wa module dummy with actions "run" and "list"
- added dummy dashboard with html template
- added ck import wa function to import all workloads to CK format
- imported all workloads