Microsoft Technology Licensing, LLC

Taofiq Ezaz

Iulian Doroftei Calinov

Sandeep Prabhakar

Samarth Harish Shah

Zachary Sandburg Holmes

Cenk Ergan

Rahul Nair

Rico Mariani

Paresh J Maisuria

Jihad Tafas

Tapan Ansel

Vijay Sundaram

Gabriel Knezek

James Kennyth Truckle

Brandon Michael Heenan

Joshua Daniel Patterson

Embodiments relate to enabling software to interface with a power consumption telemetry system. A process may have tagging instructions that interface with an energy estimation engine. While the energy estimation engine is logging energy consumption by the process, the process may also mark, tag, or otherwise delineate periods of processing during the execution time of the process. The logic of the process may determine how such periods should be labeled and when they being and end. The tagged periods are correlated with energy consumed by the process so that details of what the process was doing during different periods of energy consumption may be understood.

Process-level activity tagging

Consumption of power by device components is profiled on a per-session basis of user interaction. A session engine determines start of a user interaction session with the device (e.g., by detecting screen turn on). The engine generates a session identifier (SID) and broadcasts same to device component(s). In response to the SID, the component(s) record power consumption data. Upon receiving a signal indicating end of the user interaction session (e.g., screen turn off), the session engine broadcasts a notice allowing component(s) to stop recording power consumption data. The components communicate aggregated data to the session engine for storage in a centralized location (e.g., trace buffer). In response to a query posed within a command line prompt, stored data may be parsed on a per-session basis for inclusion in a detailed report of power consumption. Power consumption inefficiencies endemic to components and/or user behaviors may be thus be identified and remediated.

Per-screen on session power consumption profiling

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Taofiq Ezaz