10results about How to "Reduce start-up delay" patented technology

The invention provides a firmware online upgrading method and system, and relates to the technical field of firmware online upgrading, the method is applied to a processor, the processor comprises an external memory, the external memory comprises a backup area and an upgrading area, and the method comprises the steps that when the processor is started, whether a program backup of an application program is set in the backup area or not is determined through a BootLoader program; if the program backup is set in the backup area, skipping to enter the application program through the upgrading area; when a firmware upgrading request is received, an upgrading file is stored in an upgrading area of the external memory; the application program is upgraded according to the upgrading file of the upgrading area, so that online updating of firmware is completed; and if upgrading fails, copying the program backup in the backup area to the processor, and restarting the processor. By simplifying the function of the BootLoader and optimizing the data interaction process, the upgrading speed and success rate of the application program are improved, and the stability and maintenance convenience of the system are enhanced.

The invention discloses a global neural drawing method and system oriented to hybrid representation optimization, and belongs to the technical field of computer graphics, and the method comprises the steps: dividing a screen into a plurality of tiles, and obtaining a first workload index on each tile in a first drawing stage and a second workload index on each tile in a second drawing stage; generating a cross-tile and cross-stage unified scheduling queue based on the first workload index and the second workload index, and executing the drawing tasks on different tiles in parallel according to the unified scheduling queue; and triggering a subsequent feature fusion and neural global illumination drawing stage when the inter-stage dependency condition is met so as to generate an output image with a global illumination effect. According to the method, the end-to-end frame rate oriented to the modern AI accelerator / AI-GPU can be remarkably improved and the tail delay can be reduced on the premise of ensuring the visual quality and the time sequence stability, and the method is suitable for application scenes such as real-time global illumination, large-scale complex scene drawing and interactive neural rendering.

The present application relates to a method, device, computer equipment, storage medium and program product for processing video stream data. The method comprises: upon receiving a stream mode start signal sent by a cloud host, initializing a rendering engine and a hardware decoder, receiving video stream data sent by the cloud host, calling a hardware decoder to decode the video stream data, obtaining decoded data, rendering the decoded data to an external texture structure through a rendering engine, and rendering the external texture structure to a visible area of ​​a cloud computer client through a rendering engine, and upon receiving a stop signal sent by the cloud host, stopping the process of calling a hardware decoder to decode the video stream data, and releasing decoding resources through the hardware decoder. The use of this method can ensure real-time processing of video stream data, improve decoding efficiency, and reduce resource consumption.

The invention relates to a video stream data processing method and device, computer equipment, a storage medium and a program product. The method comprises the following steps: under the condition that a stream mode starting signal sent by a cloud host is received, initializing a rendering engine and a hardware decoder, receiving video stream data sent by the cloud host, calling the hardware decoder to decode the video stream data to obtain decoded data, and rendering the decoded data to an external texture structure through the rendering engine, and the external texture structure is rendered to the visual area of the cloud computer client through the rendering engine, the process of calling the hardware decoder to decode the video stream data is stopped under the condition that a stop signal sent by the cloud host is received, and decoding resources are released through the hardware decoder. By adopting the method, the real-time processing of the video stream data can be ensured, the decoding efficiency is improved, and the resource consumption is reduced.

A method for constructing an artificial intelligence model management application based on a serverless architecture relates to the technical field of serverless architecture. The method comprises the following steps: obtaining the importance levels of different function instance categories according to historical function instance creation requests, and pre-obtaining the preheating strategy of each function instance category according to the importance level; obtaining the execution process sequence of the application function code, extracting the logical function of each execution process in the execution process sequence, segmenting the execution process sequence according to the logical function of the execution process, and matching the function instance according to the logical function of the segmented execution process sequence; obtaining the function instance timing sequence of the execution process sequence, delaying the loading of the function initialization process according to the function instance timing sequence, and judging whether the function instance meets the execution insulation strategy standard after the loaded function instance completes the logical function required by the execution process sequence; and reducing the startup delay of the serverless architecture application construction.

The application provides a GPU display memory and system memory cooperative management method and system of a cloud mobile platform, the method comprising: acquiring GPU display memory parameters of the GPU display memory and system memory parameters of the system memory of the cloud mobile platform in real time, and calculating a resource imbalance index and a unified stress value according to the GPU display memory parameters and the system memory parameters; constructing a unified resource view according to the GPU display memory parameters, the system memory parameters, the unified stress value and the resource imbalance index, and making corresponding cooperative scheduling decisions for the GPU display memory and / or the system memory based on the unified resource view; detecting a current session state of a user, adopting a corresponding resource allocation strategy according to the current session state, and adjusting resource allocation of the GPU display memory and the system memory through a resource smooth switching mechanism when the session state of the user is switched; and predicting an application to be started by the user based on historical behaviors of the user, and performing resource pre-allocation processing on the application to be started. The application can realize cooperative scheduling of the GPU display memory and the system memory.

The present invention relates to the field of in-vehicle network communication technology, and discloses a dynamic stream encryption authentication communication method and system capable of detecting CAN replay attacks. The method comprises: an in-vehicle gateway assigns quantum random numbers to two ECUs that are ready to communicate; each ECU generates associated data based on context information generated by historical CAN data frames on the bus, and updates the encryption state value using the associated data and the key value; the sender ECU encrypts the CAN message plaintext using the updated encryption state value, calculates the corresponding first authentication tag, and then sends the encrypted data and the first authentication tag to the receiver ECU; the receiver ECU decrypts the encrypted data using the updated encryption state value, calculates the second authentication tag and compares it with the first authentication tag, and determines whether to accept the CAN message plaintext based on the comparison result. The present invention can effectively detect CAN replay attacks and improve the security of CAN data encryption.

The application discloses a kind of distributed real-time control system fault diagnosis method and system, belong to distributed computer system fault detection and diagnosis technical field.The method is by monitoring agent to collect the heartbeat signal of each computing node, response delay, error rate and data quality index, generate abnormal event when any index exceeds preset abnormal threshold value.Response to abnormal event, system executes active detection according to the progressive level of network connectivity, process activity, service function integrity and control timing real-time, and terminates subsequent detection when any layer fails.System combines each layer to pass, fail, timeout and unexecuted state into fault feature data, input deterministic fault rule library, and output corresponding deterministic fault type.The method does not need a large number of historical fault samples and additional physical sensors, and can quickly, automatically and hierarchically determine the fault type of abnormal computing node.

The invention relates to the technical field of methanol power generation systems, and particularly provides a methanol power generation system for emergency rescue and a control method thereof.The methanol power generation system for emergency rescue comprises a hydrogen storage device, a hydrogen production and power generation module, an inverter, a power source and a control module, and the hydrogen storage device is connected with the hydrogen production and power generation module; the hydrogen production and power generation module is provided with a hydrogen production module and a power generation module, an exhaust valve is arranged between the hydrogen production module and the hydrogen storage device, and an air inlet valve is arranged between the power generation module and the hydrogen production module. When the methanol power generation system for emergency rescue is started, the control module realizes different strategies according to the starting electric quantity, the hydrogen production and power generation module enters an operation strategy after being started, at the moment, an external load is cooperatively powered by the power generation module and the power supply, and it is ensured that a stable power supply can be provided for the external load within millisecond-level time under the emergency situation. In addition, the invention further provides shutdown, emergency shutdown, standby and automatic liquid injection strategies.

This invention proposes a column-mounted electromagnetic operating mechanism with an optimized magnetic circuit structure, comprising a stationary iron core and a moving iron core. The stationary iron core houses a permanent magnet assembly consisting of a cylindrical permanent magnet and first and second triangular permanent magnets surrounding its two sides. The moving iron core is located above the stationary iron core. The contact surface between the cylindrical permanent magnet and the two triangular permanent magnets is the inner ring side contact surface, and the contact surface between the cylindrical permanent magnet and the moving iron core is the inner ring cross-sectional contact surface. The contact area between the cylindrical permanent magnet and the two triangular permanent magnets is larger than the contact area between the cylindrical permanent magnet and the moving iron core, and also larger than the contact areas between the two triangular permanent magnets and the moving iron core respectively. When attracted, the magnetic flux passing through the inner ring side contact surface is greater than that through the inner ring cross-sectional contact surface. This invention can significantly improve the disconnection response speed of the moving iron core, shorten the fault disconnection time of electrical equipment, and enhance the safety and reliability of the system.