Intel Corporation

Niveditha Sundaram

Rajesh Poornachandran

Ned M Smith

Vincent J Zimmer

Kalyan K Kaipa

Gomathi Ramamurthy

Ryan D Saffores

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.

Personalized virtual reality content branch prediction

A computing device, computer-readable medium, and method are provided to dynamically configure an FPGA of a computing device at runtime without rebooting the computing device. At least one upgradable capability of the FPGA is displayed to a user. The user selects an upgradable capability of the FPGA and accepts a license to enable the selected upgradable capability. An update to a reconfigurable FPGA image associated with the FPGA is obtained in response to issuance of the license. The update to the reconfigurable FPGA image is installed on the FPGA to enable the selected upgradable capability of the FPGA. An operating system of the computing device is notified of the update to the reconfigurable FPGA image at runtime, and the operating system exposes the selected upgradable capability of the FPGA to at least one component of a software stack managed by the operating system.

Application store model for dynamic reconfiguration of a field-programmable gate array (FPGA)

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Hillsboro, OR, United States of America

Niveditha Sundaram