Invention Grant
US08510237B2 Machine learning method to identify independent tasks for parallel layout in web browsers
有权
机器学习方法来识别Web浏览器中并行布局的独立任务
- Patent Title: Machine learning method to identify independent tasks for parallel layout in web browsers
- Patent Title (中): 机器学习方法来识别Web浏览器中并行布局的独立任务
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Application No.: US13182244Application Date: 2011-07-13
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Publication No.: US08510237B2Publication Date: 2013-08-13
- Inventor: Gheorghe C. Cascaval , Adrian L. D. Sampson , Bin Wang
- Applicant: Gheorghe C. Cascaval , Adrian L. D. Sampson , Bin Wang
- Applicant Address: US CA San Diego
- Assignee: QUALCOMM Incorporated
- Current Assignee: QUALCOMM Incorporated
- Current Assignee Address: US CA San Diego
- Agent Nicholas A. Cole
- Main IPC: G06F15/18
- IPC: G06F15/18 ; G06N99/00

Abstract:
Methods and devices for accelerating web page rendering include processing web pages and gathering web page element information, performing machine learning analysis on the gathered web page element information to identify patterns in layout independence correlated to web page element information, and training a classifier to predict sub-tree independence based on element information in a web page script. The predicted sub-tree independence may be used to concurrently process portions of a web page to be rendered to reduce the time required to render the page. Sub-trees may be conditionally independent, in which case, the conditionally independent sub-trees may be made independent by speculating data to render the sub-trees independent, or by performing a task to obtain the certain information to render the sub-tree independent.
Public/Granted literature
- US20120239598A1 Machine Learning Method to Identify Independent Tasks for Parallel Layout in Web Browsers Public/Granted day:2012-09-20
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