A data prefetching method and apparatus, and related storage device are provided. Data samples are collected. An AI chip trains the data samples to obtain a prefetching model. The AI chip then sends the prefetching model to a processor. The processor reads to-be-read data into a cache based on the prefetching model to reduce the computing burden of the processor.

An apparatus and method for providing efficient power management for data transfer protocols between components. A source generates requests and a destination services the requests. The source and destination support a communication protocol that includes both a transfer channel and one or more transaction channels for each type of request. The source and destination rely on a valid signal and a ready signal of the transfer channels to autonomously manage power consumption. The source and destination remove any dependencies on an external power manager and make it unnecessary to add signal extensions to the communication protocol to support power management.

An information processing apparatus comprises: an arithmetic unit configured to perform arithmetic operation processing using a hierarchical network; a storage unit configured to store input data inputted to the arithmetic unit and output data outputted from the arithmetic unit; a transmission unit configured to transmit to the arithmetic unit the input data stored in the storage unit; a reception unit configured to receive and store in the storage unit the output data from the arithmetic unit; and a control unit configured to, in a case where the input data cannot be transmitted from the storage unit to the arithmetic unit, control supply of an operation clock to the transmission unit based on network information that indicates a structure of the hierarchical network.

The present disclosure relates to a method for use with an electronic design. Embodiments may include receiving one or more user defined processor configurations at a processor generator. Embodiments may also include generating a customized testbench based upon, at least in part, the user defined processor configurations and generating an RTL model while the customized testbench is generating.

For each seek command of a plurality of seek commands of a hard disk drive, a correction value is determined that adjusts an access time of the seek command. The correction value includes a scaling factor that adjusts an energy variable. The scaling factor is based on a power target of the hard disk drive, and the energy variable may represent an energy used in the seek command as a time value. The seek commands are sorted in a command queue by the adjusted access times. The seek commands are executed by a controller of the hard disk drive based on the sorting within the command queue.

A graphics rendering processor receives data related to a display and a user's gaze which is directed at the display. The user gaze may be detected based on inputs received from an optical sensor, such as a near-infrared sensor. The processor then renders different portions of the display based on the user gaze, such that an area where the user gaze is directed will receive higher rendering priority than an area at which the user gaze is not directed. In a processor with multiple cores which differ in precision, operation cost, etc. a controller may determine what portion of the display to render on which cores, based on the detected user gaze, content, or a combination thereof.

A power management controller is disclosed. Broadly speaking, the controller may, in response to receiving a timing signal, monitor a temperature of an integrated circuit including multiple processor clusters. The controller may generate a comparison of the temperature and a threshold value, and in response to a determination that the comparison indicates that the temperature is less than the threshold value, transition a particular processor cluster to a new power state.

Responsive to a power-on of a memory device, an elapsed power-off time is identified based on a difference between a time at which the power-on occurred and a time at which a previous power-off of the memory device occurred. Responsive to a determination that the elapsed power-off time satisfies the elapsed time threshold criterion, a request to perform a first write operation on a memory unit of the memory device since power on is received, a performance parameter associated with the memory unit of the memory device is changed to a first parameter value that corresponds to a reduced performance level, and the write operation is performed on the memory unit of the memory device in accordance with the first parameter value that corresponds to the reduced performance level. Responsive to completion of the write operation, the performance parameter is changed to a value that corresponds to a normal performance level.

Examples described herein relate to an interface and a network interface device coupled to the interface and comprising circuitry to: control power utilization by a first set of one or more devices based on power available to a system that includes the first set of one or more devices, wherein the system is communicatively coupled to the network interface and control cooling applied to the first set of one or more devices.

A method for managing a boost time required for an application launch in an electronic device is provided. The method includes detecting, by the electronic device, a user input to launch the application. Further, the method includes measuring, by the electronic device, real-time system health parameters of the electronic device. Further, the method includes predicting, by the electronic device, an application launch time by inputting the real-time system health parameters to an AI-based application prediction model. Further, the method includes boosting, by the electronic device, at least one hardware of the electronic device based on the predicted application launch time.