59 results about "Processor frequency" patented technology

The invention discloses an energy consumption optimal processor frequency prediction method and system based on a support vector machine. The method comprises the steps of obtaining original data of performance monitoring counter values, running time, processor energy consumption, processor frequency and processor power of different programs under different parallelism degrees, different scales and different processor frequencies; constructing a data set and a target vector for the original data according to preset self-defined operation time and energy consumption constraint conditions; designing a target function; performing parameter tuning and training evaluation on the support vector machine model; and performing processor frequency prediction on the target program by using the trained support vector machine model to obtain the processor frequency with optimal energy consumption. The method aims at solving the problem that energy consumption is low due to improper processor frequency setting during program running, it is guaranteed that the optimal processor frequency for application program running can be obtained before the application program is loaded through energy consumption optimal processor frequency prediction based on the support vector machine, and the program running energy efficiency is improved.

The invention discloses an equipment power consumption control method, a product, equipment and a medium, and relates to the technical field of power consumption control, and the method comprises the steps: judging whether a task operated on current target equipment is a periodic task, and if the task operated on the current target equipment is the periodic task, determining a corresponding operation time period; predicting the calculated amount of a processor in the target equipment in the running time period to obtain a corresponding target calculated amount predicted value; determining a target processor frequency required for the processor to complete an actual calculation amount consistent with the target calculation amount predicted value based on the minimum power consumption; and performing operation control on the target equipment based on the target processor frequency, so that the target equipment adopts the target processor frequency as the actual working frequency of the processor in the next operation time period, and power consumption control on the target equipment is realized. According to the scheme, services can be normally executed, and the power consumption of the server can be reasonably controlled.

The invention discloses an intelligent power management system for audio and video equipment, and relates to the technical field of intelligent power management, and the system comprises an equipment environment analysis module, an equipment state analysis module, an equipment wake-up optimization module and an equipment use optimization module. The device state is judged according to the environment correction factor and the current device state data, if the device is in a dormant state, the device awakening optimization module is adopted, the device voltage and the processor frequency are adjusted according to the user awakening data, and therefore the awakening process of the device is optimized. And if the equipment is in a use state, the equipment use optimization module is adopted to optimize signal processing and noise suppression according to user use data, so that the use process of the equipment is optimized, and the system improves the energy efficiency of the equipment and prolongs the service life of the equipment.

The invention discloses a control method and system for an intelligent handheld device, and the method specifically comprises the steps: obtaining the real-time power consumption data and the calorific value data of the intelligent handheld device, and adjusting the real-time power consumption data and the calorific value data based on a pre-constructed frequency adjustment table, dynamically adjusting the processor frequency and the display screen refreshing frequency of the intelligent handheld device according to the real-time power consumption data and the calorific value data; user interaction behavior data are analyzed in real time through a pre-constructed function mode recognition model, a function mode recognition result of the intelligent handheld device is obtained, and optimal display parameter configuration is determined according to the function mode recognition result; and dynamically calculating the optimal display screen brightness and the optimal color parameter of the intelligent handheld device by adopting a self-adaptive mapping algorithm according to the environment illumination intensity data, the user watching distance information and the user watching area information. According to the method, the optimal visual experience can be provided in different use scenes of the intelligent handheld device, meanwhile, the equipment endurance time of the intelligent handheld device is prolonged, and the user satisfaction degree is improved.

The invention discloses a central processing unit frequency adjustment method and device, a server and a medium, and relates to the technical field of servers. According to the scheme, a dynamic central processing unit frequency adjusting mechanism is provided, specifically, the target operation frequency of the target central processing unit is determined according to the read operation data of the target central processing unit, and the frequency of the target central processing unit is adjusted according to the target operation frequency and the corresponding relation between the power supply voltage and the operation frequency of the target central processing unit. Determining a target power supply voltage of the target central processing unit; and finally, controlling the target central processing unit to operate at the target power supply voltage so as to control the target central processing unit to operate at the target operation frequency. The target operation frequency not only considers the current working load of the server central processing unit, but also considers the overall performance and power consumption requirements of the system, and can ensure that the server can keep the optimal performance and power consumption state under different working loads, thereby improving the overall operation efficiency and stability of the server.

The invention discloses an intelligent cabin processor frequency adjusting method, system and device and a medium, and relates to the technical field of automobile intellectualization, and the method comprises the steps: obtaining a plurality of multi-mode sensor data of a vehicle-mounted intelligent cabin, and the current load data and the current temperature data of a processor; inputting the data into a load prediction model so as to output a load prediction result of the processor; classifying a plurality of pieces of sensor data into each priority queue, and if target sensor data classified into a target priority queue exists, obtaining delay time of the target priority queue; if the load prediction result is larger than a preset load threshold value, the current temperature data is smaller than a preset temperature safety threshold value, and the delay time is larger than or equal to a preset delay time threshold value, the processor is triggered to enter a temporary overclocking state; and after the processor enters the temporary overclocking state, adjusting the computing power frequency of the processor so as to increase the computing power frequency and maintain the computing power frequency for a target duration.

The invention belongs to the technical field of thermal management and performance regulation and control of a computer hardware system, and particularly discloses a temperature and performance coordinated regulation and control method of an MODT mainboard central processing unit. The entropy production rate of the system is calculated in real time in combination with a thermodynamic entropy production evaluation mechanism, and pre-cooling or advanced frequency reduction pulse type regulation and control are triggered when entropy production exceeds the threshold; meanwhile, a biological rhythm simulation mechanism is introduced, high-frequency and low-frequency alternating periodic oscillation control is carried out on the frequency of the processor in a millisecond-level window, the two mechanisms cooperatively act on the power management unit, and microsecond-level voltage regulation and heat dissipation driving linkage is achieved. According to the technical scheme, on the premise that the hardware cost is not increased, the energy efficiency performance, the transient heat dissipation capacity and the long-term operation reliability of the system under the high dynamic load are improved.

The present invention relates to the field of computer application technologies, and specifically discloses a dual-clock multi-core embedded concurrent timing simulation method and apparatus. The method includes: determining the core rate of each core in a multi-core embedded system and simulation events to be simulated; determining the global virtual clock rate of a global virtual clock according to the core rates of all cores; dividing the global virtual clock rate by the core rate to obtain the core clock rate ratio of each core's local virtual clock relative to the global virtual clock; and sequentially determining whether each core needs to execute simulation in each global virtual clock cycle according to the ratio between the current cycle number of the global virtual clock and the core clock rate ratios of each core, so as to simulate the simulation events through the cores that need to execute simulation in each global virtual clock cycle. The present invention solves the problem of core speed mismatch and simulation error caused by different core processor frequencies.

This invention discloses a method and system for detecting and correcting mismatches in time slices and processor frequencies between task groups, relating to the field of automatic control and regulation of computer system resources, specifically a collaborative closed-loop correction method for operating system scheduling and processor frequency control. The method identifies a target task group and a control task group, statistically analyzes the average effective time slices and average effective frequencies of the two task groups within an observation window, constructs time slice differences and frequency differences, and calculates a mismatch index based on the service quality deviation of the target task group to determine the mismatch mode. Correction actions are generated for different modes, performing time slice parameter compensation on the target task group and / or applying frequency constraint compensation to its running processor. Stability is ensured through upper bounds on amplitude, trigger frequency limits, hysteresis / cooling, and abnormal backoff, thereby reducing long-tail latency, frame drop risk, and unnecessary power consumption under mixed loads.

A electronic apparatus manufacturing apparatus includes at least two transporters transporting process products, a processor performing a manufacturing process on a process product transported by at least one of the at least two transporters, a processor measurer disposed on the processor to measure a processor vibration of the processor, and a controller calculating a processor frequency response of the processor based on the processor vibration and adjusting a velocity and a position of each transporter and / or a number of transporters arranged in one area among the at least two transporters based on the processor frequency response.

The application provides a neural network dynamic exit lightweight method and system for multiple continuous inferences, comprising: step 1: constructing a neural network-based inference model, predicting the position of network exit for each inference within a preset small time range, and accordingly predicting the calculation configuration, the calculation configuration comprising frequency and voltage; for multiple inferences within a preset large time range, performing processor frequency and voltage calibration through residual inference workload and time constraints; step 2: performing the neural network according to the predicted and calibrated calculation configuration, thereby realizing dynamic voltage and frequency adjustment. Compared with a classic deep learning network, the application can realize energy saving up to 63.8%, while ensuring that multiple neural network inferences are completed within a specified time, the inference can be terminated in advance through early exit to obtain accurate results, and the calculation and energy costs are reduced.

The invention discloses a server and a processor heat dissipation method, relates to the technical field of computers, and aims to avoid large temperature difference of different processors caused by manufacturing tolerance or an independent heat conduction path by arranging a radiator shared by a plurality of processors, thereby being beneficial to reducing frequency reduction of the processors. Besides, flow guide fan covers are respectively arranged between the radiator and the plurality of fans, and the flow guide directions of the flow guide fan covers and the rotating speeds of the fans are dynamically adjusted through the management controller, so that the temperatures of the plurality of processors are equivalent, and the frequency reduction of the processors can be further reduced. Therefore, the cooperative computing performance of the server is improved from two aspects.

This application discloses a processor frequency modulation method, apparatus, device, and computer program product, belonging to the field of processors. The method includes: performing load tracking on each processor in the processor cluster based on the task attributes of the tasks running in the processor cluster, obtaining the processor utilization of each processor, wherein the processor cluster includes at least one processor, and different task attributes correspond to different load tracking methods; determining the target operating frequency of the processor cluster based on the processor utilization of each processor in the processor cluster; and adjusting the operating frequency of each processor in the processor cluster to the target operating frequency. Using the solution provided in this application for processor frequency modulation can reduce power consumption while ensuring performance.

The invention provides a frequency reduction processing method and device, electronic equipment and a storage medium, and relates to the technical field of computers. The method comprises the steps of determining current first calculation performance data of a processor; determining whether the processor has underclocking according to the first calculation performance data; when frequency reduction of the processor is determined, determining a target frequency reduction level according to the first calculation performance data; and closing at least one service corresponding to the target frequency reduction level. According to the method and the device, whether the processor has underclocking or not can be detected based on the first calculation performance data, and corresponding service closing can be realized according to the current underclocking level when underclocking occurs, so that the influence of underclocking of the processor on AI core service operation can be reduced, stable operation of a system can be effectively guaranteed, and the service quality of the AI core service is improved. And user experience is improved.

The application discloses a program energy efficiency optimization method and system based on stage division and multi-stage cooperation, and the method comprises the following steps: obtaining a profiling call tree of a target program, and initializing a current level as a maximum level of the profiling call tree; extracting a node set of the current level, extracting effective nodes, extracting features, and determining a stage type of the effective nodes; adding a binary tuple formed by a node name of each effective node and the stage type into a selected stage set S; constructing a stage feature matrix for the selected stage set S of the profiling call tree, and predicting an optimal frequency combination of the target program by using a pre-trained multi-stage cooperative energy efficiency optimization model. The application aims to realize optimal processor frequency configuration of each stage of a program under the condition that the global performance constraint is met, and significantly optimize the total processor energy consumption of the program under the premise that the execution performance is not lost.

Processor frequency control for expected demand is described. In one or more implementations, an apparatus includes a processing system that executes instructions for satisfying a workload demand for a current window of time, and a power management circuit that controls a processor frequency of the processing system based on one or more characteristics of the workload demand for an earlier window of time. In at least one example, a system includes a memory including executable instructions of a workload, and a processor that executes the instructions for a second window of time according to a processor frequency that is controlled based on one or more characteristics of the instructions for a first window of time.

The embodiment of the invention provides a parameter determination hardware system and method for a storage application chip, a storage medium and electronic equipment, and relates to the field of servers, and the system comprises a server host which is used for sending video data to the storage application chip; the storage application chip is used for determining parameters of the storage application chip, performing parameter adjustment on the storage application chip according to the determined parameters, and processing the video data into compressed video data after parameter adjustment; the storage hard disk is used for receiving the compressed video data; the storage application chip comprises a video graphic array module, a video compression module, a system bus, a processor, a storage controller and a frequency determination module; the video compression module comprises a storage array depth determination module; by means of the system, parameters such as the processor frequency of the storage application chip, the system bus frequency and the storage array depth of the video compression module can be determined.

The invention discloses a processor frequency determination method and device and electronic equipment, and belongs to the technical field of computers.The method can comprise the steps that under the condition that first input of a user to an application icon is received, first starting information of a first stage of application starting is obtained; according to the first startup information of the first stage, the reference processor frequency and the expected startup completion time of the application, determining a second processor frequency of the electronic equipment in a second stage of application startup; wherein the first starting information comprises a first load proportion, the first load proportion is the share of the load of the first stage in the total load of application starting, the reference processor frequency is the average processor frequency of the last application starting stage, and the expected starting completion time is the time of ending application starting animation display.

The invention discloses a processor frequency determination method and device and a chip, and belongs to the technical field of image processing. The method comprises the following steps: acquiring performance data of an image frame drawing task; obtaining the actual operation time length of the image frame drawing task in a historical time window; determining the effective operation duration of the image frame drawing task in the historical time window according to the performance data and the actual operation duration; and determining the task load of the image frame drawing task according to the effective operation duration, and determining the operation frequency of a central processing unit according to the task load.

The invention relates to a device for manufacturing an electronic device and a method for manufacturing an electronic device. The apparatus comprises: at least two conveyors for conveying a process product; a processor performing a manufacturing process on the process product conveyed by at least one of the at least two conveyors among the process products; a processor measurer provided on the processor to measure a processor vibration of the processor; and a controller calculating a processor frequency response of the processor based on the processor vibration, and adjusting a speed and / or a position of at least one of the at least two transmitters and / or a number of transmitters arranged in one zone based on the processor frequency response.

The invention discloses a frequency modulation method of a processor, electronic equipment, a chip system and a storage medium, and belongs to the technical field of terminals. The method comprises the following steps: in response to a first operation, starting a first application and displaying an application picture of the first application; in the running process of the first application, the residence time length of the latest synthesized image frame of the first application is obtained, and the residence time length refers to the time length from the time when the image frame is stored in the graphic buffer area to the time when the image frame is taken out of the graphic buffer area to be synthesized after rendering is completed; and according to a comparison result of the residence duration and the target duration, adjusting the frequency of a target processor running the rendering thread of the first application. According to the invention, frequency modulation is carried out on the processor based on the frame buffer residence duration, so that the timeliness of frequency modulation can be improved, and a random frame loss phenomenon is reduced or avoided.

This invention relates to the field of energy efficiency management technology, specifically to a hierarchical computing power management and dynamic frequency adjustment method for a fingerprint mouse, and a fingerprint mouse itself. Applied to a fingerprint mouse comprising a main control chip, a fingerprint module, and a password processing chip, the method, executed by the main control chip, includes: acquiring operating indicators; determining a target operating mode based on the operating indicators, the target operating mode including at least a working state and a low-power state; when in the working state, accelerating the level based on the operating indicators; dynamically adjusting at least one frequency parameter according to the target computing power level, the frequency parameters including at least the main control processor frequency and / or bus frequency and / or peripheral operating frequency; during the execution of fingerprint or password processing tasks, processing the task according to a preemptive scheduling method, with a higher scheduling priority than the fingerprint and password processing tasks; this invention enables hierarchical computing power collaborative management in a fingerprint mouse that balances low power consumption, fast authentication, and smooth interaction.

The embodiment of the invention provides a frequency modulation method for a processor, and the method comprises the steps: judging whether a foreground application has a frame drop behavior or not through an internal monitoring thread, recording a plurality of groups of key thread indexes generated in an execution process of a key thread of the foreground application, and when the foreground application has the frame drop behavior, executing the key thread indexes; and selecting whether to perform frequency modulation operation on the corresponding core group or not according to the key thread index, generating a frequency modulation operation record after the frequency modulation operation, and selecting whether to perform restoration operation on the corresponding core group or not according to the key thread index and the frequency modulation operation record generated by the last frequency modulation operation under the condition that the foreground application does not have the frame drop behavior. According to the embodiment of the invention, the problem that the performance output of the processor is insufficient in other scenes due to the fact that the working frequency of the processor is only set for key scenes in the related technology can be solved, and the power consumption can be saved when the chip load is relatively low and the user experience can be ensured when the chip load is high by taking the foreground application fluency as a reference.

The present application provides a method and device for adjusting the processor frequency. The scheme obtains the running status information of the current frame and determines whether the current frame will be lost in combination with the running status information of the historical frame. If the current frame may be lost, the CPU frequency is adjusted in time, thereby avoiding the situation where a sudden heavy load in the frame but the CPU frequency is not increased in time, resulting in frame loss. Moreover, the scheme adjusts the CPU frequency only when a sudden heavy load is sensed in the frame, rather than letting the CPU run at a high frequency regardless of whether there is a sudden heavy load in the frame. Therefore, the method reduces the overall power consumption while ensuring the performance of the electronic device.

The embodiment of the invention provides a server resource scheduling method, electronic equipment and a storage medium. The method comprises the following steps: creating and loading a scheduling program in a user mode, and scanning a processor topology to generate a scheduling domain based on a non-uniform memory access node; loading the program into a memory to complete initialization of a kernel scheduler, generating a scheduling callback function and associating the scheduling callback function to realize interaction between a user mode and a kernel mode; kernel load information is obtained in real time and shared to a user mode program, a scheduling decision instruction is determined by the user mode program, and scheduling domain extension and processor frequency adjustment are executed to complete scheduling. The method can improve scheduling flexibility, optimize resource utilization, effectively improve server performance, reduce energy consumption and adapt to a dynamic load scene of a cloud data center.

The invention relates to the technical field of computers, and provides an optimization scheme generation method of a basic input and output system and related equipment, and the optimization scheme generation method of the basic input and output system comprises the following steps: obtaining system operation data, and preprocessing the system operation data; extracting time domain features and frequency domain features of the preprocessed system operation data; inputting the time domain features and the frequency domain features into the trained optimization model to obtain an optimization scheme for the basic input and output system; wherein the optimization model is obtained based on sample system operation data and corresponding optimization label training, and the optimization scheme comprises optimization of processor frequency, optimization of memory time sequence, optimization of fan speed and optimization of processor voltage. According to the method, the system operation data is scientifically analyzed by utilizing the trained optimization model, the optimization scheme is generated, static configuration or manual adjustment by an administrator according to experience is not needed, and the optimization scheme adaptive to system change can be quickly generated.

An embodiment of the present application discloses a task running method, device, storage medium, and terminal. The method includes: detecting the current working temperature of the terminal, determining the idle duty ratio corresponding to at least one task on the processor at the working temperature, determining the initial running duration corresponding to each task, calculating the processor running duration and the processor idle duration corresponding to each task based on the initial running duration and the idle duty ratio corresponding to each task, and sequentially running each task according to the processor running duration and the processor idle duration corresponding to each task. The present application can make the processor run corresponding tasks during the processor running duration and be in an idle state during the processor idle duration, avoiding the situation in the related art where the processor frequency is limited to achieve the purpose of cooling due to the increase in the terminal temperature, resulting in the terminal becoming stuck. The present application can relieve the terminal temperature while ensuring that the terminal does not become stuck.

The disclosure relates to techniques for selecting processor frequencies. Apparatuses, systems, and techniques for selecting processing unit frequencies. In at least one embodiment, an operating frequency of the one or more integrated circuits is dynamically adjusted based at least in part on a dynamically measured maximum throughput of the one or more integrated circuits.

The present application discloses a method and related device for monitoring the frequency of heterogeneous processors, which are applied to an electronic device provided with at least two processors, and relate to the field of information processing, and include: receiving a query request, wherein the query request includes a parameter to be queried in the form of a specific parameter for a target processor, wherein the parameter to be queried is related to the frequency of the target processor, and the target processor is at least one of the at least two processors; based on the parameter to be queried, at least querying a register corresponding to the target processor to obtain a query result.

The application relates to the technical field of terminal security, in particular to a game security real-time monitoring system based on artificial intelligence and big data, which comprises a time beat monitoring module, which is used for extracting a game client reading time tag instruction value, dividing the reading time tag instruction value by a processor frequency value, obtaining a hardware beat period number, and extracting an operating system process system time return value. In the application, local tampering intrusion events and current game client running time steps are extracted, a replacement reset action is implemented to generate a countermeasure reset time beat, a conventional system interface calling operation is directly discarded for a kernel communication link, communication connection is forced to be switched to a more bottom-layer system calling interface, a connection request packet data is issued under the countermeasure reset time beat, and a local intrusion takeover feedback instruction is acquired, control right is seized at the bottom layer of the operating system, a malicious process intervention path is cut off, and real-time countermeasure success rate in a high confrontation interactive scene is improved.