Abstract: Various aspects of the present disclosure include methods, components and wireless devices configured to determine appropriate generalized system-wide thermal management policies and settings in wireless devices depending upon whether communication activities are driving or otherwise causing thermal conditions. In various aspects, a processor may determine workload characteristics and select and apply an appropriate thermal management policy/solution (or thermal configuration, settings etc.) based on the determine workload characteristics. The processor may determine workload characteristics based upon data from two or more temperature sensors within the wireless device. The processor may select a generalized system-wide thermal management policy suitable for operating when communication activities (e.g., 5G communication activities) are generating so much heat that CPU-centric thermal management policies are in appropriate.

Abstract: Embodiments include methods performed by a processor of a vehicle. The processor may determine a priority to safe vehicle operations of each of a plurality of vehicle applications based on relative impacts on driver performance of safety-related tasks under one or more current vehicle conditions. The processor may determine a driver-performance-safety factor for each of the plurality of vehicle applications. The processor may allocate computing resources to each of the plurality of vehicle applications based on the determined driver-performance-safety factor of each vehicle application.

Abstract: Various embodiments include a shared power rail monitoring circuit included in integrated circuits configured to manage worst case power on a shared power rail within the integrated circuit. Various embodiments include circuit components configured to determine allocated currents for each processing block or subsystem core on the shared power rail based on operating parameters of each processing block or subsystem core, and set a mitigation level for one or more processing blocks or subsystem cores on the shared power rail based at least in part on the determined allocated currents for each processing block or subsystem core on the shared power rail. The operating parameters may be voltage or voltage mode, temperature and operating frequency of each processing block or subsystem core.

Abstract: Various aspects of the present disclosure include methods, components and wireless devices configured to determine appropriate generalized system-wide thermal management policies and settings in wireless devices depending upon whether communication activities are driving or otherwise causing thermal conditions. In various aspects, a processor may determine workload characteristics and select and apply an appropriate thermal management policy/solution (or thermal configuration, settings etc.) based on the determine workload characteristics. The processor may determine workload characteristics based upon data from two or more temperature sensors within the wireless device. The processor may select a generalized system-wide thermal management policy suitable for operating when communication activities (e.g., 5G communication activities) are generating so much heat that CPU-centric thermal management policies are in appropriate.

Abstract: Various embodiments of methods and systems context-aware thermal management in a portable computing device (“PCD”) are disclosed. Notably, the environmental context to which a PCD is subjected may have significant impact on the PCD's thermal energy dissipation efficiency. Embodiments of the solution seek to leverage knowledge of a PCD's environmental context to modify or adjust thermal policy parameters applied within a PCD in response to a thermal event within the PCD.

Abstract: Various embodiments of methods and systems for intelligent thermal power management implemented in a portable computing device (“PCD”) are disclosed. To mitigate or alleviate unwanted workload migration that could exacerbate a thermal energy generation event in a processing component having heterogeneous processing core clusters, embodiments of the solution apply mitigation measures in a predetermined order to the large cluster before applying any thermal mitigation measures to the small cluster.

Abstract: Disclosed are methods and systems for intelligent adjustment of an immersive multimedia workload in a portable computing device (“PCD”), such as a virtual reality (“VR”) or augmented reality (“AR”) workload. An exemplary embodiment monitors one or more performance indicators comprising a motion to photon latency associated with the immersive multimedia workload. Performance parameters associated with thermally aggressive processing components are adjusted to reduce demand for power while ensuring that the motion to photon latency is and/or remains optimized. Performance parameters that may be adjusted include, but are not limited to including, eye buffer resolution, eye buffer MSAA, timewarp CAC, eye buffer FPS, display FPS, timewarp output resolution, textures LOD, 6DOF camera FPS, and fovea size.

Abstract: Various embodiments of methods and systems context-aware thermal management in a portable computing device (“PCD”) are disclosed. Notably, the environmental context to which a PCD is subjected may have significant impact on the PCD's thermal energy dissipation efficiency. Embodiments of the solution seek to leverage knowledge of a PCD's environmental context to modify or adjust thermal policy parameters applied within a PCD in response to a thermal event within the PCD.

Abstract: Disclosed are methods and systems for proactive power and performance management of workloads in a portable computing device (“PCD”), such as, but not limited to, a virtual reality (“VR”) or augmented reality (“AR”) workload. An exemplary embodiment determines that a target application (or an application queued for execution) is compatible with a proactive throttling policy. Advantageously, for those applications that are compatible with a proactive throttling policy, embodiments of the solution may rely on historical performance data of those applications to preset performance parameters such that the PCD may deliver a consistent user experience over time uninterrupted by fluctuations in processing performance resulting from reactive thermal throttling policies.

Abstract: A method includes generating temperature information from a plurality of temperature sensors within a computing device, wherein a first one of the temperature sensors is physically located at a first processing unit of the computing device; processing the temperature information to identify that the first temperature sensor is associated with temperature that is at or above a threshold; and assigning a processing thread to a first core of a plurality of cores of a second processing unit in response to identifying that the first temperature sensor is associated with temperature that is at or above the threshold and based at least in part on a physical distance between the first core and the first temperature sensor.

Abstract: Various embodiments of methods and systems for intelligent thermal power management implemented in a portable computing device (“PCD”) are disclosed. To mitigate or alleviate unwanted workload migration that could exacerbate a thermal energy generation event in a processing component having heterogeneous processing core clusters, embodiments of the solution apply mitigation measures in a predetermined order to the large cluster before applying any thermal mitigation measures to the small cluster.

Abstract: A method, an apparatus, and a computer program product for allocating a total power budget among a plurality of components of a user device are provided. The apparatus prioritizes the plurality of components based on a user experience model (performance/power model) for each of the plurality of components. The user experience model (performance/power model) of a component includes a measure of component attribute as a function of component power consumption. The apparatus allocates portions of the total power budget among the user-device components based on priority established by the user experience model. The apparatus may further prioritize the components based on weights assigned to the components.

Abstract: A method, an apparatus, and a computer program product for allocating a total power budget among a plurality of components of a user device are provided. The apparatus prioritizes the plurality of components based on a user experience model (performance/power model) for each of the plurality of components. The user experience model (performance/power model) of a component includes a measure of component attribute as a function of component power consumption. The apparatus allocates portions of the total power budget among the user-device components based on priority established by the user experience model. The apparatus may further prioritize the components based on weights assigned to the components.

Abstract: The invention, an apparatus and foam blocks for toys and an adjunct for games, consists of a spring-loaded platform acting as the launcher used in conjunction with foam blocks. The spring-loaded platform consists of two plastic parts butted together using the force from a cord to form a stable platform when unloaded. Light weight foam blocks are placed in specified locations on the platform by the players one at a time until the weight of the blocks (or the slight impulse of a foam block being placed by a nervous player) causes the platform to collapse very rapidly. The light weight foam blocks are thrown around for several feet in random directions from the platform. The event amounts to a harmless explosion introducing a high level of suspense, surprise and a wow-factor when used solely as a toy or when used as an adjunct to a card or board game.