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公开(公告)号:US11243597B2
公开(公告)日:2022-02-08
申请号:US16147132
申请日:2018-09-28
Applicant: Apple Inc.
Inventor: Abhinav Pathak , Albert S. Liu , Amit K. Vyas , Soren C. Spies , Matthew C. Widmann , Prajakta S. Karandikar , Anand Subramanian , Anthony J. Chivetta , Brian K. Tearse-Doyle
IPC: G06F1/00 , G06F11/30 , G06F1/3228 , G06F11/34
Abstract: Techniques are disclosed performing a power logging in a computer system at a sub-process level. An exemplary method includes an operating system of the computer system determining process information indicative of which sub-portions of one or more processes are running on the computer system at different points in time, as well as may determining power information for the computer system at different points in time. The operating system may the create, from the process information and the power information, a power log indicative of power usage of sub-portions of processes at a plurality of points in time. The power logging may extend to both core and non-core resources of the system. For non-core resources, the power usage may be estimated in some cases based on the type of non-core resource being called as well as parameters passed to the non-core resource.
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公开(公告)号:US20220229758A1
公开(公告)日:2022-07-21
申请号:US17713169
申请日:2022-04-04
Applicant: APPLE INC.
Inventor: Amit K. Vyas , Abhinav Pathak , Anthony R. Newnam , Phillip J. Azar , Ashish Patro , Prajakta S. Karandikar , Daniel J. Etter , Conor J. O'Reilly , Andreas C. Bergen , Nehal Bhandari , Jeffrey S. Lale , Andrew P. Sakai , Terrence R. Long , Soren C. Spies
IPC: G06F11/34 , G06F9/54 , G06F16/906 , G06F16/904 , G06F17/18 , G06K9/62 , G06F11/36
Abstract: 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.
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公开(公告)号:US11061793B2
公开(公告)日:2021-07-13
申请号:US15900740
申请日:2018-02-20
Applicant: Apple Inc.
Inventor: Abhinav Pathak , Conor J. O'Reilly , Shashi K. Dua , Udaykumar R. Raval , Christopher W. Chaney , Amit K. Vyas , Albert S. Liu , Roberto Alvarez , Rohit Mundra , Vladislav Sahnovich , Patrick Y. Law , Paul M. Thompson , Paolo Sacchetto , Chaohao Wang , Arthur L. Spence , Jean-Pierre Simon Guillou , Mohammad Ali Jangda , Christopher Edward Glazowski , Yifan Zhang , Prajakta S. Karandikar , Han Ming Ong
Abstract: 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.
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公开(公告)号:US20180349244A1
公开(公告)日:2018-12-06
申请号:US15900740
申请日:2018-02-20
Applicant: Apple Inc.
Inventor: Abhinav Pathak , Conor J. O'Reilly , Shashi K. Dua , Udaykumar R. Raval , Christopher W. Chaney , Amit K. Vyas , Albert S. Liu , Roberto Alvarez , Rohit Mundra , Vladislav Sahnovich , Patrick Y. Law , Paul M. Thompson , Paolo Sacchetto , Chaohao Wang , Arthur L. Spence , Jean-Pierre Simon Guillou , Mohammad Ali Jangda , Christopher Edward Glazowski , Yifan Zhang , Prajakta S. Karandikar , Han Ming Ong
Abstract: 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.
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公开(公告)号:US11036610B2
公开(公告)日:2021-06-15
申请号:US16671093
申请日:2019-10-31
Applicant: Apple Inc.
Inventor: Amit K. Vyas , Abhinav Pathak , Anthony R. Newnam , Phillip J. Azar , Ashish Patro , Prajakta S. Karandikar , Daniel J. Etter , Conor J. O'Reilly , Andreas C. Bergen , Nehal Bhandari , Jeffrey S. Lale , Andrew P. Sakai , Terrence R. Long , Soren C. Spies
IPC: G06F11/34 , G06F9/54 , G06F16/906 , G06F16/904 , G06F17/18 , G06K9/62 , G06F11/36
Abstract: 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.
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公开(公告)号:US20200379878A1
公开(公告)日:2020-12-03
申请号:US16671093
申请日:2019-10-31
Applicant: Apple Inc.
Inventor: Amit K. Vyas , Abhinav Pathak , Anthony R. Newnam , Phillip J. Azar , Ashish Patro , Prajakta S. Karandikar , Daniel J. Etter , Conor J. O'Reilly , Andreas C. Bergen , Nehal Bhandari , Jeffrey S. Lale , Andrew P. Sakai , Terrence R. Long , Soren C. Spies
IPC: G06F11/36
Abstract: 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.
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