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公开(公告)号:US20180293097A1
公开(公告)日:2018-10-11
申请号:US15482912
申请日:2017-04-10
Applicant: Intel Corporation
Inventor: Changwon D. Rhee , Zhijun R. Lei , Ping Liu , Kin-Hang W. Cheung , Gomathi Ramamurthy , Naiqian Lu , Sang-Hee Lee , Wei Xiong , Richard Gui Xie , Saimanohara S. Alapati , Jay M. Patel
IPC: G06F9/48
Abstract: In some embodiments, independent workloads may be grouped together into a single super workload. This super workload is dispatched to a single context hardware system that does not run an operating system. This effectively creates a multi-context system out of a single context hardware processor.
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公开(公告)号:US11150943B2
公开(公告)日:2021-10-19
申请号:US15482912
申请日:2017-04-10
Applicant: Intel Corporation
Inventor: Changwon D. Rhee , Zhijun R. Lei , Ping Liu , Kin-Hang W. Cheung , Gomathi Ramamurthy , Naiqian Lu , Sang-Hee Lee , Wei Xiong , Richard Gui Xie , Saimanohara S. Alapati , Jay M. Patel
Abstract: Independent workloads may be grouped together into a single super workload. This super workload is dispatched to a single context hardware system that does not run an operating system. This effectively creates a multi-context system out of a single context hardware processor.
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公开(公告)号:US10482566B2
公开(公告)日:2019-11-19
申请号:US15937425
申请日:2018-03-27
Applicant: Intel Corporation
Inventor: Rajesh Poornachandran , Niveditha Sundaram , Ryan D. Saffores , Kalyan K. Kaipa , Gomathi Ramamurthy
Abstract: Methods, apparatus, and machine-readable mediums are described for doing predictive content branch selection for rendering environments such as virtual reality systems. User data is aggregated from multiple users. Each user is classified based upon the user data. Personalization parameters are identified for each of the plurality of users. Content to be presented is determined and modified with a modification for a user based upon the personalization parameters for the user. The modified content is sent to the user.
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公开(公告)号:US20180286007A1
公开(公告)日:2018-10-04
申请号:US15937425
申请日:2018-03-27
Applicant: Intel Corporation
Inventor: Rajesh Poornachandran , Niveditha Sundaram , Ryan D. Saffores , Kalyan K. Kaipa , Gomathi Ramamurthy
Abstract: Methods, apparatus, and machine-readable mediums are described for doing predictive content branch selection for rendering environments such as virtual reality systems. User data is aggregated from multiple users. Each user is classified based upon the user data. Personalization parameters are identified for each of the plurality of users. Content to be presented is determined and modified with a modification for a user based upon the personalization parameters for the user. The modified content is sent to the user.
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