Abstract: Methods, apparatus, and systems to dynamically schedule a workload to among compute blocks based on temperature are disclosed. An apparatus to schedule a workload to at least one of a plurality of compute blocks based on temperature includes a prediction engine to determine (i) a first predicted temperature of a first compute block of the plurality of compute blocks and (ii) a second predicted temperature of a second compute block of the plurality of compute blocks. The apparatus also includes a selector to select between the first compute block and the second compute block for assignment of the workload. The selection is based on which of the first and second predicted temperatures is lower. The apparatus further includes a workload scheduler to assign the workload to the selected one of the first or second compute blocks.

Abstract: In one embodiment, a processor includes: at least one core; and a power controller coupled to the at least one core. The power controller may include: a workload monitor circuit to calculate a background task ratio based on a first amount of time that the at least one core executed background tasks during an active duration; and a control circuit to dynamically apply a power management policy for a background mode when the background task ratio exceeds a background mode threshold, the power management policy for the background mode to reduce power consumption of the processor. Other embodiments are described and claimed.

Abstract: Systems, apparatus, articles of manufacture, and methods to perform cloud-based artificial intelligence overclocking are disclosed that, collect workload information, the workload information representing a workload to be executed by the first compute platform, cause generation of an output from an AI model based on the workload information, the output representing an overclocking frequency value to be used for operation of the first compute platform, and performing overclocking based on the overclocking frequency value.

Abstract: Systems, apparatuses and methods may provide for technology that receives parameter results and scores of one or more local sessions with respect to subcircuit components in a bounded area, aggregates the parameter results and scores, and generates a global placement model based on an output of the aggregated parameter results and scores.

Abstract: An apparatus comprising: a model to generate adjusted tuning parameters of a thread scheduling policy based on a tradeoff indication value of a target system; and a workload monitor to: execute a workload based on the thread scheduling policy; obtain a performance score and a power score from the target system based on execution of the workload, the performance score and the power score corresponding to a tradeoff indication value; compare the tradeoff indication value to a criterion; and based on the comparison, initiate the model to re-adjust the adjusted tuning parameters.

Abstract: In one embodiment, a processor includes: at least one core; and a power controller coupled to the at least one core. The power controller may include: a workload monitor circuit to calculate a background task ratio based on a first amount of time that the at least one core executed background tasks during an active duration; and a control circuit to dynamically apply a power management policy for a background mode when the background task ratio exceeds a background mode threshold, the power management policy for the background mode to reduce power consumption of the processor. Other embodiments are described and claimed.

Abstract: In one embodiment, a processor includes: at least one core; and a power controller coupled to the at least one core. The power controller may include: a workload monitor circuit to calculate a background task ratio based on a first amount of time that the at least one core executed background tasks during an active duration; and a control circuit to dynamically apply a power management policy for a background mode when the background task ratio exceeds a background mode threshold, the power management policy for the background mode to reduce power consumption of the processor. Other embodiments are described and claimed.

Abstract: Systems, apparatuses and methods may provide for technology that identifies a plurality of functional blocks in a circuit, wherein each functional block includes a plurality of components, conducts one or more passes of a first optimization loop to determine candidate aspect ratios for the functional blocks based on size data associated with the components, and conducts, within the one or more passes of the first optimization loop, one or more passes of a second optimization loop to determine candidate floorplan data for the circuit based on the candidate aspect ratios.

Abstract: In one embodiment, a processor includes: at least one core; and a power controller coupled to the at least one core. The power controller may include: a workload monitor circuit to calculate a background task ratio based on a first amount of time that the at least one core executed background tasks during an active duration; and a control circuit to dynamically apply a power management policy for a background mode when the background task ratio exceeds a background mode threshold, the power management policy for the background mode to reduce power consumption of the processor. Other embodiments are described and claimed.

Abstract: An embodiment of an electronic processing system may include an application processor, system memory communicatively coupled to the application processor, a graphics processor communicatively coupled to the application processor, graphics memory communicatively coupled to the graphics processor, and persistent storage media communicatively coupled to the application processor and the graphics processor to store one or more graphics assets, wherein the graphics processor is to access the one or more graphics asset mapped from the persistent storage media. The persistent storage media may include a low latency, high capacity, and byte-addressable nonvolatile memory. The one or more graphics assets may include one or more of a mega-texture and terrain data. Other embodiments are disclosed and claimed.

Abstract: Techniques are provided for spatial audio streaming using adaptive bitrate encoding and decoding in bandwidth limited virtual reality applications. A methodology implementing the techniques according to an embodiment includes calculating weight factors for audio channels associated with each of a plurality of microphones. The weight factors are based on the position and head angle, relative to the microphones, of a user wearing a head mounted display (HMD). The method also includes encoding and decoding the audio channels, for transmission to the HMD, at a selected bitrate, the bitrate based on the weight factor for the audio channel. The method further includes applying an adaptive gain compensation to each of the received and decoded audio channels, the gain compensation also based on the weight factor. The method further includes mixing the resulting gain compensated channels to generate a stereo audio signal to be played through speakers of the HMD.

Abstract: Particular embodiments described herein provide for a flexible vapor chamber with shape memory material for an electronic device. In an example, the electronic device can include a flexible vapor chamber and shape memory material coupled to the shape memory material. When the shape memory material is activated, the shape memory material moves a portion of the flexible vapor chamber to a position that helps with heat dissipation of heat collected by the flexible vapor chamber.

Abstract: An example apparatus includes processor circuitry to execute instructions to determine memory usage data associated with a user profile, determine an address hashing policy based on the memory usage data, and determine power states of memory channels based on the address hashing policy.

Abstract: Methods and apparatus for in-field thermal calibration are disclosed. A disclosed example apparatus includes instructions, memory in the apparatus, and processor circuitry. The processor circuitry is to execute the instructions to determine that a system on chip (SOC) package is deployed, the SOC package deployed with a default first thermal model, in response to the determination that the SOC package is deployed, monitor at least one temperature of the SOC package from a sensor and power usage of the SOC package, calibrate a second thermal model based on the at least one temperature and the power usage, and publish the calibrated second thermal model for control of the SOC package.

Abstract: Methods and apparatus for bi-directional control of computing unit frequency are disclosed. An example apparatus to control a frequency of a computing unit includes instructions, memory in the apparatus, and processor circuitry. The processor circuitry is to determine a performance hint from a first register, the performance hint corresponding to a requested performance of the computing unit for executing a thread associated with software, determine power and performance (PnP) statistics pertaining to the thread from a second register, control the frequency of the computing unit based on the performance hint and the PnP statistics, and provide a pressure of the computing unit to the software.

Abstract: Apparatus, systems, and methods for intelligent tuning of overclocking frequency are disclosed. An example apparatus includes trial control circuitry to execute an optimization model to select first values for overclocking parameters of a processor, the first values associated with a first trial, and perform benchmark testing of the processor when the processor is operating based on the first values; trial evaluation circuitry to calculate a first score for the first trial based on the benchmark testing; and model updating circuitry to perform a comparison of the first score to a second score, the second score associated with a second trial for second values for the overclocking parameters, the second values different than the first values; and select one of the first values or the second values to overclock the processor based on the comparison.

Abstract: Methods, systems, and apparatus to reconfigure a computer are disclosed. An example electronic device includes at least one memory, instructions in the electronic device, and processor circuitry to execute instructions to analyze data corresponding to a first configuration of the electronic device to detect a change associated with the electronic device, the first configuration corresponding to a respective first user profile, determine a second configuration of the electronic device based on the detected change, and adjust a configuration of the electronic device from the first configuration to the second configuration.

Abstract: In one embodiment, a processor includes: at least one core; and a power controller coupled to the at least one core. The power controller may include: a workload monitor circuit to calculate a background task ratio based on a first amount of time that the at least one core executed background tasks during an active duration; and a control circuit to dynamically apply a power management policy for a background mode when the background task ratio exceeds a background mode threshold, the power management policy for the background mode to reduce power consumption of the processor. Other embodiments are described and claimed.

Abstract: An embodiment of an electronic processing system may include an application processor, system memory communicatively coupled to the application processor, a graphics processor communicatively coupled to the application processor, graphics memory communicatively coupled to the graphics processor, and persistent storage media communicatively coupled to the application processor and the graphics processor to store one or more graphics assets, wherein the graphics processor is to access the one or more graphics asset mapped from the persistent storage media. The persistent storage media may include a low latency, high capacity, and byte-addressable nonvolatile memory. The one or more graphics assets may include one or more of a mega-texture and terrain data. Other embodiments are disclosed and claimed.

Abstract: Techniques are provided for spatial audio streaming using adaptive bitrate encoding and decoding in bandwidth limited virtual reality applications. A methodology implementing the techniques according to an embodiment includes calculating weight factors for audio channels associated with each of a plurality of microphones. The weight factors are based on the position and head angle, relative to the microphones, of a user wearing a head mounted display (HMD). The method also includes encoding and decoding the audio channels, for transmission to the HMD, at a selected bitrate, the bitrate based on the weight factor for the audio channel. The method further includes applying an adaptive gain compensation to each of the received and decoded audio channels, the gain compensation also based on the weight factor. The method further includes mixing the resulting gain compensated channels to generate a stereo audio signal to be played through speakers of the HMD.