Qualcomm Incorporated

Edoardo Regini

Stephen A Molloy

Jeffrey Gemar

Boris Andreev

Tauseef Kazi

Vinod Chamarty

Aravind Bhaskara

Olivier Alavoine

Simon Booth

Tao Shen

Wenbiao Wang

Renatas Jakushokas

Sejoong Lee

Saurabh Patodia

Bohuslav Rychlik

Sungwon Lee

Ronald Alton

Steven S Thomson

Haw-Jing Lo

Hyukjune Chung

Michael Hawjing Lo

Hee-Jun Park

Satish Goverdhan

Hrishikesh Jayakumar

Pieter-Louis Dam Backer

Ronald Frank Alton

Systems, methods, and non-transitory media are provided for power-efficient image stabilization. An example method can include collecting measurements from a motion sensor, the measurements being based on movement of an image sensor while capturing frames; calculating parameters for counteracting motions in a frame, wherein first parameters are based on the measurements and second parameters are based on some of the measurements; adjusting, in a first stabilization pass of a dual-pass stabilization process, the first frame according to the second parameters; adjusting, in a second stabilization pass of the dual-pass stabilization process, the first frame according to the first parameters; based on a second frame having less motion than the first frame, enabling for the second frame a single-pass stabilization process for both a frame preview process and video record process; and adjusting, in the single stabilization pass, the second frame according to parameters for counteracting motions in the second frame.

Power-efficient dynamic electronic image stabilization

Various aspects include methods for managing memory subsystems on a computing device. Various aspect methods may include determining a period of time to force a memory subsystem on the computing device into a low power mode, inhibiting memory access requests to the memory subsystem during the determined period of time, forcing the memory subsystem into the low power mode for the determined period of time, and executing the memory access requests to the memory subsystem inhibited during the determined period of time in response to expiration of the determined period of time.

Forced idling of memory subsystems

The various aspects provide for a device and methods for intelligent multicore control of a plurality of processor cores of a multicore integrated circuit. The aspects may identify and activate an optimal set of processor cores to achieve the lowest level power consumption for a given workload or the highest performance for a given power budget. The optimal set of processor cores may be the number of active processor cores or a designation of specific active processor cores. When a temperature reading of the processor cores is below a threshold, a set of processor cores may be selected to provide the lowest power consumption for the given workload. When the temperature reading of the processor cores is above the threshold, a set processor cores may be selected to provide the best performance for a given power budget.

Intelligent multicore control for optimal performance per watt

A method and system for dynamically determining the degree of workload parallelism and to automatically adjust the number of cores (and/or processors) supporting a workload in a portable computing device are described. The method and system includes a parallelism monitor module that monitors the activity of an operating system scheduler and one or more work queues of a multicore processor and/or a plurality of central processing units ('CPUs'). The parallelism monitor may calculate a percentage of parallel work based on a current mode of operation of the multicore processor or a plurality of processors. This percentage of parallel work is then passed to a multiprocessor decision algorithm module. The multiprocessor decision algorithm module determines if the current mode of operation for the multicore processor (or plurality of processors) should be changed based on the calculated percentage of parallel work.

Method and system for dynamically controlling power to multiple cores in a multicore processor of a portable computing device

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San Diego, CA, United States of America

Edoardo Regini