3055 results about "Central processing unit" patented technology

The invention discloses a mobile phone anti-theft system and method based on a camera and a GPS (Global Position System) of a mobile phone. The mobile phone anti-theft system comprises a mobile phone CPU (Central Processing Unit), a microprocessor, a camera driving module, an input module and an unlocking detection module, wherein the input module is connected with the unlocking detection module; the unlocking detection module is connected with the mobile phone CPU; and the mobile phone CPU is connected with the camera driving module through the microprocessor. Compared with the prior art, the mobile phone anti-theft system and method provided by the invention have the advantages as follows: an unlocking operation is carried out when the mobile phone is used after the mobile phone is lost or stolen, and a background operation program which is installed in the mobile phone is triggered and started when the unlocking operation is inaccurate; and a user who currently uses the mobile phone is positioned and photographed through a GPS module and the camera of the mobile phone; meanwhile, obtained information is sent to a mailbox or other addresses which are specified by the user in time, so that the user is convenient to alarm and can find the mobile phone back accurately in time, and the problems of the mobile phone loss and personnel information release of the user can be solved.

The invention provides a complex scene-oriented AI large model lightweight deployment method, and relates to the technical field of edge computing, and the method comprises the steps: carrying out the structured pruning of a pre-trained Transform network based on the attention head importance score, carrying out the dynamic sparsification of the activation state of a feedforward network according to the input tensor entropy value, employing the dynamic mixing precision quantization, and carrying out the reconstruction of an AI large model. Obtaining network parameters after pruning quantization; deploying the pruned and quantized network parameters to an edge computing device, distributing a feature extraction operator to a neural network processor through a heterogeneous computing scheduler, and unloading a classification operator to a multi-core central processing unit; and managing an on-chip memory in combination with a virtual memory paging mechanism, realizing zero-copy data transmission by utilizing a direct memory access controller, and outputting a reasoning result tensor. According to the method, efficient and reliable operation of the large model at the resource-constrained edge node is realized.

An autonomous environmental regulation and behavioral monitoring system is disclosed, configured to adapt temperature, lighting, and acoustic conditions based on real-time emotional and physiological data. The system includes a dual-redundant central processor, hierarchical communication networks, multi-angle visual acquisition units, infrared thermometers, and modular environmental subsystems. It detects posture, gestures, facial expressions, and thermal signals to classify user states and apply individualized airflow, light, and sound modulation without relying on external internet connectivity. The system also monitors connected appliances using voltage-based pressure analysis to forecast device degradation. With integrated gesture recognition, privacy-preserving data handling, and predictive adaptation, the invention enables multi-user personalization, long-term learning, and uninterrupted operation within residential, administrative, or healthcare infrastructures.

The invention discloses a hardware fault real-time detection method and system based on cooperation of a CPU (Central Processing Unit) and a BMC (Baseboard Management Controller), and the method comprises the following steps: respectively collecting high-frequency state data and tendency indexes by establishing a communication mechanism between the CPU and the BMC; the processor uses a CUSUM algorithm to carry out abrupt change analysis on the periodically collected operation state to generate an abrupt change event; and the management controller uses an EWMA algorithm to model the trend data, and extracts abnormal changes. And the system performs fusion analysis on the mutation event and the trend anomaly to form a fusion anomaly vector. The risk assessment module calculates a risk score based on a preset rule, determines a fault level, positions a target component, and outputs a processing strategy. And triggering a response action according to the strategy and recording an execution state. And the fusion data and the response record are input into the adaptive module together for dynamically adjusting CUSUM and EWMA parameters, so that adaptive updating of the algorithm is realized, and finally a fault detection signal is generated.

The invention discloses a reservoir dam safety monitoring method and system based on edge calculation, and relates to the technical field of hydraulic engineering safety monitoring, and the method comprises the steps: obtaining monitoring data by each edge calculation node, carrying out the preprocessing, and generating a standardized data matrix; establishing a reference database, executing anomaly detection, and generating a labeling time sequence data matrix; performing multi-scale decomposition on the labeled time sequence data matrix, and constructing a node response feature matrix; the central processing unit receives data of each edge computing node, analyzes a multi-parameter spatial propagation mode by constructing a parameter-spatial correlation matrix, and obtains a spatial correlation feature matrix; establishing a Bayesian risk assessment model, predicting a dam risk level and outputting a risk evolution trend; and issuing a differentiated early warning instruction according to the risk assessment result. Through a distributed architecture combining edge calculation and central processing, real-time monitoring, intelligent analysis and accurate early warning of the dam safety state are realized, and the monitoring efficiency and the risk identification accuracy are improved.

The invention discloses an offshore platform anti-collision device and method based on multi-mode BEV perception, and the device comprises a three-dimensional fusion distance measurement module, a UWB distance measurement module, a ship navigation state monitoring module, a platform marine environment monitoring module, and a central processing unit. The three-dimensional fusion ranging module comprises a holder, a laser radar and a camera, and is used for performing 360-degree three-dimensional scanning on the periphery of the offshore platform; the UWB distance measuring modules are installed on the periphery of a ship and pile legs of an offshore platform. The ship navigation state monitoring module is used for acquiring ship position, navigational speed and course information in real time; the platform marine environment monitoring module collects wind wave data and weather data near the offshore platform and route information of passing ships through network communication. The invention discloses an offshore platform anti-collision device with real-time monitoring and collision risk assessment functions, the anti-collision safety of an offshore platform is improved, and the occurrence rate of collision accidents is reduced.

Workloads for executing a graph neural network (GNN) may be divided among various processing units, such as a central processing unit (CPU) and a neural processing unit (NPU). The NPU may include a data processing unit (DPU) and a digital signal processor (DSP). The CPU may perform precomputation, model optimization, hardware optimization, and compilation. For example, the CPU may precompute a parameter matrix and use the parameter matrix as internal parameters of a GNN. The CPU may also perform node padding, approximation computation, or transfer of DSP operations to DPU to optimize the GNN. The CPU may also perform sparsity data compute and storage, vertical fusion of DSP operations and DPU operations, or data quantization to optimize performance of the NPU. The compiled GNN may be provided to the NPU, and the DPU and DSP may perform the operations in the compiled GNN to produce a prediction of the GNN.

The invention discloses a lens production defect detection method and equipment thereof, and relates to the technical field of visual inspection.The equipment comprises an information acquisition module, a central processing unit, a process regulation and control module and an interactive communication module.The information acquisition module acquires multi-source sensing information at regular time, so that both comprehensiveness and accuracy are improved; high accuracy of visual detection is guaranteed; through an information processing model, quantification is accurate and traceable, defect degree visualization and defect accurate classification are realized, then process defects are positioned, the interference degree of the environment on a detection result is determined, and misjudgment of the defects due to environmental factors is avoided; through linkage of defect data, process precision and environmental interference, a process optimization scheme is generated in a targeted manner, closed-loop response from defect generation to process adjustment is realized, and the production line response speed is improved; and finally, the lens production yield is remarkably improved, and the production cost of long-term detection is reduced.

The invention relates to the field of sensors, and discloses an anti-electromagnetic interference dynamic compensation method for a gas sensor of power equipment, which comprises the following steps: monitoring and collecting sensor data, uploading the sensor data to a central processing unit for data fusion, and carrying out volatility analysis on the fused sensor data, so as to obtain an anti-electromagnetic interference dynamic compensation result. The change relation of the fluctuation of the sensor data along with time is monitored in real time, and the fluctuation abnormal state of the sensor data is analyzed and detected by combining a fluctuation analysis result with real-time environmental parameters, so that the monitoring duration and the monitoring frequency of the sensor data are dynamically adjusted; analyzing the contribution degree of the electromagnetic interference to the error generated by the gas sensor, detecting whether the error interferes with the measurement state of the gas sensor, and correcting the gas concentration measurement value by using a temperature and humidity-gas response coupling correction algorithm of Kalman filtering to realize the dynamic compensation of the gas concentration measurement value. And the accuracy of the corrected gas concentration estimated value is improved.

The invention discloses a dynamic feeding speed adjusting method self-adaptive to production line takt, and relates to the technical field of production line automation control, and the method comprises the following steps: 1, constructing a production line takt sensing system, setting sensing units at all key stations of a production line, and setting a plurality of monitoring points on a material transmission path of the production line; according to the invention, various sensing assemblies are arranged at key stations, various state information of materials in the process from station entering to transmission can be captured in real time in combination with monitoring points on a transmission path, and information reliability is ensured through data screening; therefore, the central processing unit can comprehensively master the actual operation condition of the production line, and firm data support is provided for follow-up adjustment. On the basis of characteristic parameters of multi-dimensional analysis, continuous correction is carried out in combination with historical data, and the defect that a traditional fixed model cannot adapt to beat fluctuation is avoided; in this way, the feeding speed can be adjusted on the basis of the current real production line takt all the time, and timeliness and pertinence of adjustment are ensured.

The invention relates to the technical field of security auditing, in particular to a security auditing method and system for an industrial control system, and the method comprises the following steps: aiming at a key control task, a communication task and a security task of a real-time operating system, collecting a period, a starting timestamp, a finishing timestamp, a central processing unit occupied time slice and peak memory usage amount data. According to the method, the period, timestamp, central processing unit occupation and memory usage data of a key task of a real-time operating system are collected, a task execution time boundary and a resource consumption envelope are set, and then an expected relation rule set of a task time sequence and resource consumption is constructed by applying historical data statistics and logic rule deduction; and meanwhile, the key length of symmetric and asymmetric encryption, initialization vector generation, hash algorithm selection, key derivation parameters and encryption operation context are stipulated, so that a comprehensive and specific ICS behavior specification baseline is established.

The invention discloses a millimeter wave radar and range finder golf sports monitoring system and method and a medium, and relates to the field of sports monitoring, the system comprises a handheld integrated terminal, a laser ranging module, a millimeter wave radar module, a processing unit and a display unit are integrated in the handheld integrated terminal, and a first communication module is connected with the processing unit; the data interaction module is used for performing data interaction with an external mobile terminal; the mobile terminal comprises a second communication module, a trajectory prediction module and a recommendation decision module, and is used for comparing the predicted flight trajectory with a target trajectory preset by a user and generating a swing suggestion in a training mode; and in the motion mode, the central processing unit is used for planning and recommending a ball hitting strategy based on the expected drop point distance input by the user and the real-time environment data measured by the handheld integrated terminal in combination with historical training data of the user. According to the invention, accurate monitoring and dynamic analysis of the golf ball flight path are realized.

The invention discloses irrigation area patrol equipment and method based on an augmented reality technology, and relates to the technical field of agricultural hydraulic engineering and informationization, and the equipment comprises a video collection module, a video and audio interaction module, a communication module, a central processor, a temperature and humidity sensor, a positioning module, and an AI intelligent support module. Through the function of comparing the data with theoretical data, the requirement of patrol on the professionality of patrol personnel is reduced; the invention further provides a working system of AR field perception-AI intelligent support-expert cooperative support-auxiliary operation guidance, basic information is collected and sent based on the head-mounted AR patrol equipment and transmitted to the AI intelligent support module, a theoretical value under normal operation is given through a digital twinborn irrigation area AI calculation function in the AI intelligent support module and compared with the collected information, and the theoretical value is calculated. And in addition, the method can be combined with an expert online study and judgment function, so that the discovery of real-time inspection problems and field study and judgment can be realized.

The invention discloses a chip prototype verification method and device, a medium and a product, and relates to the technical field of integrated circuit verification, and the method comprises the steps: dynamically dividing a central processing unit core of a multi-core chip into a first core group and a second core group in a chip prototype verification platform; performing data interaction on the first core group and the second core group through the inter-core communication agent to obtain a verification control instruction; converting the test case into a chip register operation instruction or a real-time operating system drive call instruction based on the verification control instruction; distributing the chip register operation instruction to the first core group to execute a hardware real-time verification process, and distributing the real-time operation system drive calling instruction to the second core group to execute a multi-task scheduling verification process so as to respectively obtain a corresponding register snapshot and a task scheduling log; and aligning the register snapshot with the task scheduling log according to a time axis so as to generate a chip function verification result report based on the alignment data. Cooperative verification of bare computer verification and real-time operating system verification is realized.

The invention provides a parking lot license plate detection method and system based on exclusive learning, and belongs to the technical field of computer vision and edge computing. The method comprises the following steps: deploying a lightweight detection main model at each entrance and exit edge device to carry out real-time detection and screen low-confidence difficult case samples; after the sample is uploaded, the central processing end generates a high-quality pseudo label by using a high-performance teacher model, and trains an exclusive student model by using a mixed loss function fusing detection loss, distillation loss and difficult case concentration loss; and finally, calculating a weight difference value and quantizing to generate a lightweight incremental update package, and directionally pushing the lightweight incremental update package to edge equipment to complete non-perception hot update. The system correspondingly comprises an edge processing unit and a central processing unit. According to the method, the problem that a general model cannot adapt to a multi-gateway differentiated scene is solved, unification of personalized accurate optimization and efficient lightweight updating of the model is realized, and the accuracy and reliability of license plate detection in a complex scene are remarkably improved.

The invention discloses an industrial PCB cooperative control method based on open-source and Feiteng CPUs, particularly relates to the technical field of industrial automatic production line control, and is used for solving the problem that a quality control instruction and a board card physical flow in an existing PCB production line are difficult to accurately synchronize, so that an adjustment instruction is lagged or mistakenly acted. A unique identifier is generated for each printed circuit board, the position of each printed circuit board is tracked in real time, and when a board card enters a synchronous control area, a Feiteng CPU obtains the state of each execution device; selecting a data query strategy based on state consistency, and collecting node state feedback and quality data; according to the method, the consensus convergence rate and the phase-frequency characteristic distortion index of the system are calculated, the triggering time point of a control instruction is dynamically adjusted when the index is abnormal, and a correction instruction is sent to execution equipment through an open source gap distributed soft bus, so that high-precision cooperative control of the instruction and board card flow is realized, and the real-time performance and reliability of closed-loop quality control are improved.

The invention relates to the technical field of Internet red scenic spot tourist crowd gathering risk monitoring, and discloses an Internet red scenic spot tourist crowd gathering risk intelligent monitoring and early warning system which comprises a central processing unit, a crowd density analysis module and the like. The crowd density analysis module generates basic density distribution based on region division and historical passenger flow data; the environment state acquisition module acquires environment and facility data in real time; the tourist behavior analysis module generates a behavior feature vector through the track and the stay duration; the central processing unit generates a risk early warning instruction through a spatial superposition algorithm; the risk early warning execution module adjusts monitoring parameters according to instructions and feeds back states, and triggers a dynamic adjustment algorithm when abnormity occurs. The system also improves the accuracy and the resource utilization rate through an optimization and adaptation module, achieves the intelligent monitoring and precise early warning of the crowd gathering risk, and guarantees the tourism safety.

The invention discloses a bedsore prevention and body position management system and method.The system comprises a mattress, a multi-mode sensing unit, a central processing unit and a body position adjusting unit, the mattress is used for providing lying support for a patient, the multi-mode sensing unit is arranged on the mattress, the central processing unit is arranged on the mattress, and the body position adjusting unit is arranged on the central processing unit. The multi-mode sensing unit is used for collecting pressure distribution data, temperature and humidity data and body posture data of a bedridden patient in real time, and the central processing unit is in communication connection with the multi-mode sensing unit and used for receiving, fusing and processing the data collected by the multi-mode sensing unit and conducting bedsore risk assessment based on a preset bedsore risk model. The central processing unit is used for generating a bedsore risk level and a body position management instruction, and the body position adjusting unit is arranged in the mattress, connected with the central processing unit and used for receiving and executing the body position management instruction so as to adjust the distribution of pressure borne by the body surface of a patient. According to the system, real-time monitoring of bedsore risks and automatic body position adjustment are achieved, the nursing load is relieved, and the nursing efficiency and quality are improved.

The invention discloses an electrical pipeline fault early warning method and system, and relates to the technical field of electrical pipelines, and the method comprises the steps: collecting electrical pipeline data, carrying out the preprocessing of the collected data, packaging the processed data, transmitting the packaged data to a central processing unit, analyzing the data, extracting characteristic parameters, and combining a predefined rule base, the method comprises the following steps: carrying out fault feature identification and abnormity determination, matching a fault mode based on identification features, evaluating a fault type and a severity degree, predicting a fault probability in combination with a historical data trend, automatically generating an early warning message when real-time data exceeds a preset threshold value, sending structured early warning information through a multi-mode communication channel, and tracking and confirming a state. And triggering preset emergency operation, and meanwhile, providing a manual intervention interface and recording a processing process. By monitoring the parameters of the electrical pipeline in real time and triggering an early warning mechanism, the safety problem is identified and processed before the fault occurs, the downtime is reduced, the reliability of the pipeline is improved, and preventive maintenance is realized so as to reduce the emergency maintenance cost.

According to the read transmission bridging device and method for the AXI master device and the CHI request node, the master device which does not support cache consistency can be interconnected with a CHI bus to perform read transmission and maintain the cache consistency and address allocation of the whole system under the condition that the design is not modified, and the device has good compatibility, conforms to a standard AXI4 protocol and a standard CHI protocol, and is convenient to use. And the device maintains the cache consistency in the system, ensures the data consistency when the master device accesses the shared data, and avoids errors caused by non-updating of the cache or conflicts. According to the read transmission bridging device of the AXI master device and the CHI request node, the AXI master device is connected to the request node of a CHI bus, a central processing unit (CPU) is connected to the request node of the CHI bus, and an external device and a memory are connected to a completion node of the CHI bus.

The invention discloses an ultra-thin glass defect detection system and positioning method based on line scanning and phase deflection, and the system comprises a line scanning camera module, a distortionless phase deflection detection module, a high-magnification microscope module and a central processing unit. The line scanning camera module is used for collecting a 2D grayscale image of the ultrathin glass; the distortionless phase deflection technology detection module is used for collecting a surface height map of the ultra-thin glass; the high-magnification microscope module is used for carrying out depth positioning on the interlayer defect judged by the central processing unit; the central processing unit is used for receiving the 2D gray level image and the surface height map, executing an image registration and defect classification algorithm and sending a depth positioning control instruction to the high-magnification microscope module, a multi-module cooperative work detection system is constructed, the detection efficiency and the detection precision are both considered, and data support is provided for production process improvement.

The invention relates to the technical field of unmanned vehicle scheduling and charging management, and discloses an unmanned vehicle remote non-inductive scheduling and multi-vehicle cluster charging cooperative management system, which comprises a cluster state sensing module, a multi-vehicle cluster charging cooperative management module, an unmanned vehicle remote non-inductive scheduling module and a multi-vehicle cluster charging cooperative management module, the scheduling feature analysis module performs modeling analysis on the two types of flows to generate feature sets; the collaborative decision-making module is used for matching scheduling strategy levels based on strategy matrix fusion features; the charging strategy generation module calls a charging strategy according to the grade; and the central processing unit verifies and generates a final instruction set. The system is further provided with a communication relay interface, a charging pile dispatching module and the like, and data transmission, charging optimization, instruction execution and data archiving are achieved. The system improves unmanned vehicle cluster scheduling and charging cooperation efficiency, is suitable for large-scale management, and has the advantages of being high in real-time performance, accurate in decision making and the like.

The invention discloses a data synchronization method and device, electronic equipment, a storage medium and a program product, and relates to the technical field of centralized storage device.The data synchronization method comprises the steps that when a backup data access request is responded, a corresponding mirror image pair management structural body is determined according to a structural body identifier contained in the request, and complex configuration traversal is not needed; meanwhile, based on a preset mirror image pairing rule in the structural body, the mirror image relationship of the same-name mirror image sub-regions of different nodes is defined, the same-name mirror image sub-regions of the target node can be quickly locked, the mirror image target positioning time is shortened, the resource consumption of a central processing unit in configuration query and relationship matching links is reduced, and the user experience is improved. And the overload problem of the central processing unit in synchronous replication is relieved. An end-to-end link between nodes is adopted to directly send a data transmission instruction to a target node, data does not need to be transferred through a cluster sharing network, and direct transmission of backup data to a same-name mirror image sub-region of the target node can be achieved.

A core network server for defining authentication credentials and authenticating a wireless communication device according to WIFI communication protocols includes a central processing unit (CPU) and a non-transitory memory comprising executable instructions that when executed by the CPU, causes the core network server to receive an encrypted authentication request from a wireless communication device; send the encrypted authentication request to an authentication server based on one or more attributes in the encrypted authentication request; receive an indicator of a specialized network slice associated with the wireless communication device based on sending the encrypted authentication request; communicate authentication messages to the wireless communication device according to one or more network functions of the specialized network slice; and authenticate the wireless communication device according to the specialized network slice responsive to communicating the authentication messages.

The invention relates to the technical field of data processing, in particular to an FPGA (Field Programmable Gate Array) and CPU (Central Processing Unit) cooperative network data processing system, which comprises a network interface module for receiving and forwarding an external data flow, and a protocol analysis module for distinguishing a service message and a protocol message based on a message header characteristic and a load mode; the service processing module executes protocol format conversion, security encryption and data extraction in the FPGA; the protocol stack interaction module transmits a protocol message to the CPU through the MAC layer communication interface; the protocol stack module activates necessary protocol services in the CPU and generates a resource allocation instruction; and the data integration module receives the service data flow and the protocol processing result, and dynamically adjusts the encryption rule. According to the invention, FPGA business data closed-loop processing and CPU protocol service physical isolation are realized, a double-processing-unit architecture supports financial signature and industrial filtering cascade operation, the MAC layer interface is additionally provided with cyclic redundancy check to guarantee transmission reliability, and equipment processing efficiency and anti-attack capability under a fusion scene are improved.

The invention belongs to the technical field of unmanned aerial vehicle remote identification, and particularly relates to unmanned aerial vehicle RID equipment based on multiple communication modes and a data transmission method, and the equipment comprises at least two heterogeneous communication modules which are used for establishing a data transmission link with an external network or a receiving terminal; the data acquisition unit is used for performing real-time acquisition and formatting to generate an RID data frame containing unmanned aerial vehicle identity information, real-time position information and flight state information; the environment sensing unit is configured to periodically detect and quantify channel quality parameters of each communication link corresponding to the at least two heterogeneous communication modules; according to the invention, the at least two heterogeneous communication modules are arranged and combined with the environment sensing unit to detect the channel quality parameters in real time, and the central processing unit is utilized to dynamically select the optimal communication link according to the multi-dimensional communication transmission strategy set, so that the problem that a single communication mode is easily influenced by the environment to cause transmission interruption is solved; the method has the advantages of improving communication reliability, adapting to complex environments and reducing transmission interruption risks.

The invention discloses a building fresh air linkage control system based on the Internet of Things, and relates to the technical field of intelligent control linkage, a sensing acquisition module is used for acquiring building state data, analyzing the building state data according to a priority strategy, analyzing building spaces in different regions, generating region information priorities, and sending the region information priorities to a central processing unit; focusing the key change area according to the area information priority to obtain a building environment potential field graph; the cooperative control module is used for performing multi-region cooperative decision on the building environment potential field graph to obtain an expected environment parameter sequence, and adjusting the expected environment parameter sequence through an optimization algorithm to obtain a fresh air coordination instruction set; and the execution decision module is used for performing multi-objective optimization on the fresh air coordination instruction set, generating an equipment-level control instruction, issuing the control instruction to a building equipment executor and completing accurate control of the fresh air system. According to the system, an optimized and convergent fresh air closed-loop control mechanism is established, operation of cold and heat source equipment is effectively coordinated, the energy-saving effect is achieved, and energy waste is avoided.

A power system includes a central unit, a zone unit capable of communicating with the central unit, and a downstream electric wire configured to electrically connect a predetermined downstream unit to the zone unit. A central processor of the central unit executes processing including transmitting electric wire characteristic data stored in a central storage device to the zone unit at a predetermined timing. A zone processor of the zone unit executes processing including writing the electric wire characteristic data transmitted from the central unit into a zone storage device in response to reception of the electric wire characteristic data, and determining whether to turn a semiconductor switch coupled to the downstream electric wire to an OFF state, based on the electric wire characteristic data written into the zone storage device and the current detected by a current sensor.

The invention discloses an ARMv8-based virtual machine interrupt through routing method, which comprises the following steps that: a Hypervisor directly routes a physical interrupt to an EL1 through configuration, sets a top page table address of a vCPU (Virtual Central Processing Unit) and a Hypervisor control register at the same time, and sets a vcpudid flag bit for indicating whether the vCPU adopts a virtual interrupt injection mechanism or a physical interrupt through routing mechanism; and judging whether an interrupt through routing condition is met or not so as to determine whether an interrupt through routing mechanism or a virtual interrupt injection mechanism is adopted, periodically judging whether a switching condition is met or not when the interrupt through routing mechanism is adopted, and switching from the interrupt through routing mechanism to the virtual interrupt injection mechanism if the switching condition is met. The method is compatible with two interrupt controller specifications of GICv2 and GICv3, supports the virtual machine and the hypervisor to respectively and independently respond to respective corresponding interrupt requests, and meanwhile, the method has the capability of dynamically switching an interrupt routing mechanism during the system operation period, so that the flexibility of interrupt processing and the expandability of the system are improved.

The invention discloses a processor, a processor communication method and computer equipment, and relates to the technical field of chip design, a system comprises a calculation module and a communication module, the communication module is packaged in the processor, and data of the calculation module is transmitted to other processors through the communication module. The communication module can convert the first to-be-transmitted data packet from a first communication protocol to a second communication protocol, and transmits the second to-be-transmitted data packet after protocol conversion to other processors. The problems that a communication path is long due to the fact that data is transmitted through main board routing in the communication process, and communication power consumption and communication delay are increased due to the fact that a PCIe protocol needs serial and parallel conversion of a data transmission format can be solved. The communication module is packaged in the processor, GPU communication between nodes is carried out through the communication module, a PCIe bus and a central processing unit are not depended on any more, the PCIe bandwidth pressure is relieved, the system energy efficiency is improved, the communication efficiency is improved, and the communication delay is reduced.