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US Patent 9742869 Approach to adaptive allocation of shared resources in computer systems

Patent 9742869 was granted and assigned to NVIDIA on August, 2017 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
NVIDIA
NVIDIA
Current Assignee
NVIDIA
NVIDIA
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
9742869
Date of Patent
August 22, 2017
Patent Application Number
14101255
Date Filed
December 9, 2013
Patent Citations Received
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US Patent 12093824 Distance to obstacle detection in autonomous machine applications
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US Patent 11978266 Occupant attentiveness and cognitive load monitoring for autonomous and semi-autonomous driving applications
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US Patent 12072442 Object detection and detection confidence suitable for autonomous driving
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US Patent 12073325 Distance estimation to objects and free-space boundaries in autonomous machine applications
0
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US Patent 11676364 Real-time detection of lanes and boundaries by autonomous vehicles
0
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US Patent 11698272 Map creation and localization for autonomous driving applications
0
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US Patent 11704890 Distance to obstacle detection in autonomous machine applications
0
‌
US Patent 11713978 Map creation and localization for autonomous driving applications
0
...
Patent Primary Examiner
‌
Sargon Nano
Patent abstract

A request management subsystem is configured to establish service classes for clients that issue requests for a shared resource on a computer system. The subsystem also is configured to determine the state of the system with respect to bandwidth, current latency, frequency and voltage levels, among other characteristics. Further, the subsystem is configured to evaluate the requirements of each client with respect to latency sensitivity and required bandwidth, among other characteristics. Finally, the subsystem is configured to schedule access to shared resources, based on the priority class of each client, the demands of the application, and the state of the system. With this approach, the subsystem may enable all clients to perform optimally or, alternatively, may cause all clients to experience an equal reduction in performance.

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