Intel Corporation

Sujith Thomas

Rajeev D Muralidhar

Harinarayanan Seshadri

Vishwesh M Rudramuni

Rushikesh S Kadam

Nithish Mahalingam

Sridhar Muthrasanallur

Yogesh Vikram Marathe

Kedar J Karanje

Ankitkumar Pravinbhai Navik

Srividya Karumuri

Ananth R Krishna

Praveen Diwakar

Tvrtko Ursulin

Aravindan Muthukumar

Vipin Anand

A system may include a graphics processing unit including a command counter. The system may also include a general-purpose processor to: in response to a detection of a timing signal, determine a count value of the command counter included in the graphics processing unit; determine a first threshold range of a plurality of threshold ranges that matches the determined count value of the command counter; select, based on the determined first threshold range, a first configuration profile of a plurality of configuration profiles for the graphics processing unit; and cause the graphics processing unit to use the selected first configuration profile. Other embodiments are described and claimed.

Configuration profiles for graphics processing unit

Systems and methods of managing power in a computing platform may involve monitoring a runtime power consumption of two or more of a plurality of hardware components in the platform to obtain a plurality of runtime power determinations. The method can also include exposing one or more of the plurality of runtime power determinations to an operating system associated with the platform.

Framework for runtime power monitoring and management

A system and method of managing power may include determining a power state based on a first power management request from a first operating system executing on a mobile platform and a second power management request from a second operating system executing on the mobile platform. The first operating system and one or more components of the mobile platform can define a first virtual machine, and the second operating system and one or more components of the mobile platform can define a second virtual machine. In addition, the power state may be applied to the mobile platform.

Fine grained power management in virtualized mobile platforms

An electronic device includes a kernel, a power manager to control power to a hardware component, and a neural network to monitor the kernel to recognize performance of a function of the electronic device. The neural network sends a signal to the power manager to reduce or turn off power to the hardware component based on information generated during monitoring of the kernel. The information may provide an indication of hit symbols for hardware components which are to be powered and/or hardware components which do not require power based on one or more operations performed by the kernel.

Power management based on automatic workload detection

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Bengaluru, India

Sujith Thomas