Apple Inc.

Rohit Mundra

Amit K Vyas

Abhinav Pathak

Conor J O'Reilly

Anca Andreea Chandra

Anshul Dawra

Anthony R Newnam

Yue Li

Chaohao Wang

Paolo Sacchetto

Jean-Pierre Simon Guillou

Patrick Y Law

Arthur L Spence

Mohammad Ali Jangda

Yifan Zhang

Christopher Edward Glazowski

Albert S Liu

Paul M Thompson

Roberto Alvarez

Matthew Smith

Shashi K Dua

Udaykumar R Raval

Tianhe Wu

Christopher W Chaney

Scott C Tooker

Aditya Bhushan

Vladislav Sahnovich

Hina Dixit

Eduardo Sanchez

Jeffrey D Curless

Prajakta S Karandikar

Sanket V Bedare

Han Ming Ong

Andreas C Bergen

Ritika Kalia

Vincent B Yeh

Steve Brashear

Certain embodiments disclosed herein provide application relaunch optimization. Aspects of the present disclosure include deferring the termination of at least some applications notwithstanding an action taken by the user to terminate such applications. For example, a trigger event such as a deferral time can be set, prior to which the termination will take place if an additional user action occurs, and after which the application will be kept suspended in volatile memory indefinitely. As another example, the termination can take place, or not, depending on the type of application or the nature of its usage. An application that has not been terminated despite the termination action being taken by the user and the application's removal from the application management interface can be invoked quickly and efficiently, improving the user experience.

Application relaunch optimization

Embodiments of the present disclosure present devices, methods, and computer readable medium for techniques for measuring operational performance metrics, and presenting these metrics through an application programming interface (API) for developers to access for optimizing their applications. Exemplary metrics can include central processing unit or graphics processing unit time, foreground/background time, networking bytes (per application), location activity, display average picture luminance, cellular networking condition, peak memory, number of logical writes, launch and resume time, frame rates, and hang time. Regional markers can also be used to measure specific metrics for in application tasks. The techniques provide multiple user interfaces to help developers recognize the important metrics to optimize the performance of their applications. The data can be normalized over various different devices having different battery size, screen size, and processing requirements. The user interfaces can provide an intelligent method for visualizing performance changes for significant changes in application versions.

Logging techniques for third party application data

Visualization techniques for third party application data

Circuits, methods, and apparatus that may estimate the power being consumed by an OLED display screen of an electronic device, may provide further information about that power usage, may modify or change functions performed by the electronic device based on that power usage, and may inform an application's developer about the amount of power being used by the electronic device while the electronic device is running the application. One example may estimate the power being used by an OLED display screen of an electronic device by determining the content of images being displayed during a duration. The estimated power may then be presented to a user. The estimated power may be used in decisions to modify or change parameters of the screen or other device components.

Graphically providing OLED display power modeling

Clustering techniques for third party application data

OLED display power modeling

Growing community of inventors

San Jose, CA, United States of America

Rohit Mundra