434 results about "Processing Instruction" patented technology

One aspect of the instant disclosure may provide a system and method for processing scatter-gather direct memory access (S-G DMA) instructions. During operation, the system may receive an S-G DMA instruction associated with a message and gather instruction context for the S-G DMA instruction. An S-G DMA processor may process the S-G DMA instruction based on the gathered instruction context and determine whether there exists a pending S-G DMA instruction associated with the message. In response to the presence of the pending S-G DMA instruction, the system stores the instruction context in a hot context cache at an address corresponding to the pending S-G DMA instruction. In response to the absence of the pending S-G DMA instruction, the system stores the instruction context in a cold context cache.

A computer-implemented system for automated document generation receives user input and processes it through artificial intelligence models to create professional documents. The system combines user-provided information with specialized knowledge databases containing domain-specific requirements and formatting standards to generate enhanced processing instructions. Trained machine learning models process these instructions to produce contextually appropriate content that addresses specific technical and legal requirements. The generated content is formatted using configurable templates to create completed documents that meet professional standards. The system provides adaptive user interfaces that adjust functionality based on user expertise levels, supports multiple operational modes including guided and automated generation, learns from example documents to improve output quality, and enables comprehensive workflow management through network-accessible services. Applications include patent applications, legal responses, technical documentation, and other specialized professional documents requiring domain expertise and regulatory compliance.

The invention provides a spindle constant-temperature AI closed-loop heat engine system, and relates to the technical field of numerical control machine tool control and heat management. The invention aims to solve the problems of response lag, uncontrollable thermal stress, single heating strategy and the like of the traditional spindle heat engine method. The system comprises a multi-dimensional thermal state sensing module used for constructing a multi-node discrete temperature field representing the overall thermal distribution of the main shaft; the real-time heat balance feedback module is used for judging the cold / hot starting state of the main shaft according to the initial temperature difference and executing a differentiated feedback control strategy; and an AI prediction forward compensation module that predicts a future cutting thermal load by pre-reading a machining instruction and generates a feedforward thermal compensation instruction. According to the method, the thermal stress is controlled by introducing the radial thermal gradient index as the safety constraint, negative precooling or positive preheating is achieved in combination with the AI predictive capacity, a feedback and feedforward composite control mode is formed, and the dynamic thermal stability and the machining precision of the main shaft under the complex working condition are improved.

The invention provides an instruction pipeline processing method of a processor and the processor. A processor includes: a control module; the control module is set to execute the branch instruction speculatively according to the branch prediction direction when detecting that the first instruction subjected to initial decoding is the branch instruction, and execute the branch instruction if detecting that the second instruction subjected to initial decoding is the function call instruction or the function return instruction before the speculation execution result of the first instruction is generated. If yes, pausing all operations after the instruction processing assembly line performs initial decoding on the second instruction, and blocking the instruction fetching operation of the instruction processing assembly line on the next instruction until a speculation execution result of the first instruction is obtained; wherein the operation after the initial decoding comprises the step of carrying out a push-in or push-out operation of a return address stack (RAS) according to the second instruction. According to the technical scheme, the pollution risk caused by speculative execution of the branch instruction to the return address stack can be shielded, so that the hardware implementation logic of the return address stack is simplified, and the circuit area and power consumption are saved.

The invention relates to the technical field of CAM intelligent programming, and discloses a CAM programming algorithm and system based on a generative artificial intelligence large model. The algorithm comprises the steps of analyzing a CAD document, fusing geometric features, tolerances and material information through a generative artificial intelligence large model, and generating a structured semantic skeleton. Then, the semantic skeleton is matched with a process knowledge base, a preliminary processing instruction cluster is generated, and a dynamic processing graph with a node dependency relationship is constructed; secondly, receiving an editing intention of a user for the graph, analyzing the intention by using a generative artificial intelligence model, and automatically reconstructing node logic and connection of the graph to form a corrected processing logic network; and finally, before execution, simulating a network execution process by using a generative artificial intelligence model, and identifying potential logic and resource conflict nodes. According to the invention, intelligent conversion from design to processing instructions, and intent-driven process chain dynamic optimization and conflict pre-verification are realized.

The invention discloses a processing device, an instruction processing method, a chip device and electronic equipment, and belongs to the technical field of electronics. The processing device comprises a physical register file, a physical register cache unit and an execution unit, the physical register file comprises a first read port and a first number of physical registers, the physical register cache unit comprises a second read port and a second number of cache lines used for caching data of the second number of physical registers, and the second number is smaller than the first number; the execution unit is used for responding to all the source data of the first instruction and executing the first instruction based on all the source data of the first instruction, and any source data in all the source data of the first instruction is read from the first number of physical registers through the first read port or read from the second number of cache lines through the second read port. The instruction execution efficiency can be improved on the basis that the occupied area is not greatly increased, and the instruction processing performance of the processing device is improved.

The invention discloses a dangerous scene linkage disposal method based on causal reasoning. The method comprises the following steps: collecting and preprocessing multi-source heterogeneous dangerous scene data; executing causal structure learning to generate a dangerous event causal structure skeleton; introducing an improved LiNGAM model to obtain a dangerous event causal directed acyclic graph; forming a dangerous event causal reasoning model; executing causal reasoning calculation to generate a causal influence path; performing risk assessment to generate a risk level label; issuing to a target linkage subsystem to form a linkage processing instruction set; obtaining linkage processing execution feedback data; and outputting the optimized causal reasoning model, realizing accurate identification and dynamic updating of the causal relationship of the dangerous event, and improving the response speed and the disposal precision of the system in a complex environment.

The invention discloses a data processing method based on a vector matrix processor and the vector matrix processor, and the method comprises the steps: transmitting vector data stored in a vector matrix memory to a vector register based on a business processing instruction packet; if the business processing instruction packet belongs to the vector matrix cascade mode, performing vector operation on the vector data based on a vector processing component to obtain a vector operation result, and writing the vector operation result into a vector register; and transmitting the matrix data stored in the vector matrix memory to the matrix register, transmitting the vector operation result stored in the vector register and the matrix data stored in the matrix register to the matrix processing component, and performing matrix operation on the matrix data and the vector operation result based on the matrix processing component to obtain a cascade operation result. By adopting the application, the calculation performance of the vector processing component and the matrix processing component can be improved, and the power consumption is reduced.

The embodiment of the invention provides a threat intelligence data processing method and related equipment. The method comprises the following steps: acquiring an associated knowledge graph constructed based on multi-source threat intelligence data and network asset data; acquiring a real-time operation data flow in the monitoring network, determining asset data associated with the real-time operation data flow based on the associated knowledge graph, and performing priority matching based on the corresponding comprehensive risk value to obtain a priority corresponding to the real-time operation data flow; generating context associated data corresponding to the real-time operation data flow based on the associated asset data, and obtaining standard event data based on the corresponding priority, the real-time operation data flow and the context associated data; and matching the standard event data based on the at least one detection research and judgment rule corresponding to the research and judgment label to obtain the target research and judgment label, and generating the target processing instruction based on the processing strategy corresponding to the target research and judgment label, thereby improving the threat response efficiency and the closed-loop processing accuracy.

The invention provides a return address backup method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining a return address stack (RAS) corresponding to a first pipeline processing unit, and configuring RASs corresponding to at least one second pipeline processing unit; obtaining a to-be-processed instruction sequence, and performing pipeline processing on the to-be-processed instruction sequence; in the process of performing assembly line processing on the instruction sequence to be processed, responding to assembly line flushing operation initiated by a target assembly line processing unit, copying an RAS corresponding to the target assembly line processing unit into an RAS corresponding to the first assembly line processing unit, the target assembly line processing unit is one of the at least one second assembly line processing unit. Based on the scheme of the invention, the RAS backup can be realized by setting the RAS in the second assembly line processing unit, so that the influence of assembly line scouring on the RAS is eliminated, and the accuracy of the RAS for predicting the return address is improved.

The invention discloses a mail anti-leakage detection system and method based on a large language model, and relates to the technical field of information security, and the system comprises a collection module which is used for obtaining a to-be-detected target mail, and the to-be-detected target mail comprises a mail header, a mail body, an attachment and related metadata; the preprocessing module is used for preprocessing the target mail; the large model analysis module is used for performing deep semantic analysis, including semantic understanding, sensitive entity recognition, communication intention recognition and context association analysis, on the preprocessed target mail based on a large language model; the risk assessment module is used for determining the risk level of the target mail based on the large model analysis result; and the processing execution module is used for executing corresponding processing operation according to the risk level of the target mail and the processing instruction. According to the method, the recognition accuracy of the mail anti-leakage system on complex semantic sensitive information is improved, the detection capability on multiple types of attachments is enhanced, dynamic risk assessment is realized, and the false alarm rate and the missing report rate are reduced.

The invention discloses an error compensation method, device and equipment for a numerical control system and a storage medium, and relates to the technical field of machine tool precision control, and the error compensation method for the numerical control system comprises the steps: obtaining a machining code file and a compensation code file, and carrying out the matching detection of the machining code file and the compensation code file; after the matching detection is passed, analyzing the processing code file and the compensation code file to obtain a processing instruction and a compensation instruction; performing fusion processing on the processing instruction and the compensation instruction to generate an optimization interpolation instruction; and controlling the machine tool to move according to the optimized interpolation instruction. The error compensation efficiency of the numerical control system can be improved.

The present disclosure relates to the fields of large model technology and text processing. Disclosed are file processing methods, an electronic device, a storage medium and a computer program product. A method comprises: in response to an input instruction acting on an operation interface, displaying on the operation interface a file to be processed, said file containing text to be processed of at least one modality; and, in response to a processing instruction acting on the operation interface, displaying a processing result on the operation interface, the processing result being used for representing that said file has been successfully named and stored on the basis of a target processing rule, the target processing rule being a processing rule corresponding to a target type of said file, the target type being determined by comparing said text with preset text contained in a plurality of preset files, and the types of different preset files being different. The present disclosure solves the technical problem in the prior art of relatively low file processing accuracy.

Provided are systems, methods, and apparatuses for systems and methods of programming processes in processing in memory (PIM) systems. In one or more examples, the systems, devices, and methods include enabling, via a processor, a PIM manager for processing of PIM instructions, the PIM manager being located on a base die of a stacked memory module; enabling, via the PIM manager, a plurality of processing units of one or more memory dies of the stacked memory module for processing; compiling source code comprising the PIM instructions into machine code; loading, via PIM manager, the machine code into an allocation of memory of the stacked memory module; and executing, via the plurality of processing units, the PIM instructions based on loading the machine code into the memory of the stacked memory module.

The invention is suitable for the technical field of computer processor design, and provides an instruction processing method and device, terminal equipment and a program product, and the method comprises the steps: obtaining instruction information of a to-be-processed instruction set in a processor; generating an index vector corresponding to the to-be-processed instruction set based on the original effective vector; each index value in the index vector is subjected to one-hot code conversion, a one-hot code matrix corresponding to the instruction set to be processed is generated, and each row of one-hot code vector in the one-hot code matrix corresponds to each path of input instruction; and according to the original effective vector and the one-hot code matrix, sorting operation codes of each path of input instruction to obtain processed operation code information, so that a processor executes corresponding operation based on the processed operation code information. The method can meet the requirement that the high-performance processor completes instruction processing in a single cycle, the processing delay is low, and therefore the instruction execution efficiency of the processor is improved.

The invention relates to the technical field of computer vision and intelligent retail, and discloses a verification method and device based on vision and code scanning fusion, equipment and a medium, and the method comprises the steps: obtaining a commodity region image, executing background modeling and mask processing, and generating a preprocessed image; identifying an article detection frame and a category label based on a target detection model and generating a track set; forming a code scanning record queue in combination with a code scanning record; matching track items with the code scanning record through time alignment; verifying category and quantity consistency based on a matching result to generate a difference item set; and displaying the disposal information through an interface and sound output, and executing process locking and personnel notification when an interception condition is met. According to the invention, synchronous verification of the commodity state and the code scanning information is realized through time matching of visual identification and code scanning records, a processing instruction is automatically generated and interception and notification are executed, so that scanning omission and wrong scanning behaviors can be identified in real time in a cashier link, and retail loss is remarkably reduced.

The invention relates to the technical field of computers, and discloses a media work generation method and device, equipment, a medium and a program product.The method comprises the steps that in response to an operation instruction for a media application, a creation page is displayed, and a creation control is displayed in the creation page; displaying a work generation page in response to an interaction instruction of the creation control; in response to an input instruction of description information in the work generation page, the first media work is displayed on the work generation page, and the description information comprises prompt information and materials; displaying a work processing page in response to an issuing instruction of issuing the first media work to the media application; and in response to a processing instruction for the first media work on the work processing page, obtaining a second media work which is used for being published to the media application. According to the method, the generation efficiency of the media works is improved.

The invention relates to the technical field of printing, in particular to an ink-jet carving integrated printing method and device, electronic equipment and a storage medium. The reference information of the printer is determined based on the hardware rated parameters of the printer; determining an editing interface of the printer based on the reference information; importing a processing source file, obtaining source file information of the processing source file, and displaying the source file information on the editing interface; obtaining editing information input by a user on the editing interface, and determining an image-text processing instruction according to the editing information and the source file information; and according to the image-text processing instruction, the printer is controlled to execute an ink jet action and an engraving action according to a preset time sequence, and printing is completed. According to the technical scheme, the problem of positioning deviation caused by the fact that ink jetting and engraving depend on step-by-step implementation of two sets of equipment in the prior art is solved, and the effects of reducing the engraving error and improving the machining precision are achieved.

The invention discloses a large packet anomaly detection method and device based on a dynamic baseline, a medium and a product, and relates to the technical field of data security. The method comprises the following steps: determining a target log record; extracting a service group identifier and a uniform resource locator of each target log record, and constructing to obtain each primary key; determining the first target log records with the same first primary key as a first group, and determining a dynamic baseline parameter based on historical first target log records in the first group; in response to a processing instruction of a second target log record, determining a current dynamic baseline parameter matched with a second primary key based on the second primary key of the second target log record, and comparing the length of the second target log record with the current dynamic baseline parameter, and determining whether the second target log record is an abnormal log record based on the comparison result. According to the scheme provided by the invention, the big packet data can be quickly and accurately detected, attack behaviors are effectively avoided, and help is provided for equipment security.

Provided are an information processing method and apparatus, a device, and a storage medium. The method comprises: in response to receiving a user input, acquiring target data indicated by the user input (210); on the basis of source information related to a source of the target data, using a target model to generate at least one processing instruction for the target data (220); executing the at least one processing instruction on the target data to acquire at least one processing result (230); and on the basis of the at least one processing result, using the target model to generate an analysis result for the target data to serve as a response to the user input (240).

A computing system including a hardware accelerator configured to receive vector processing instructions from a processor. The vector processing instructions include an initial read address, an input increment size, and a vector processing operation. During vector processing iterations performed at vector processor tiles included in a vector processor tile array, the hardware accelerator reads vector elements into respective vector processor tiles in an input stream. The vector elements are read into the vector processor tiles from locations in memory that start at the initial read address and advance by the input increment size at successive vector processing iterations. At each of the vector processor tiles, the hardware accelerator computes a vector processing result at least in part by performing the vector processing operation on the vector element read into the vector processor tile. The hardware accelerator outputs the vector processing results from the vector processor tiles in an output stream.

In accordance with some embodiments, systems, apparatus, interfaces, methods, and articles of manufacture are provided for providing information incorporating additional data feeds, creating common arrangements, and improving performance in a virtual meeting. In some embodiments, a video conferencing system hosts a customized video conferencing and includes video conference settings data, participant display device data, supplemental data feed data, and processing instructions. The video conferencing system may identify (based on the video conference settings data) a number of data feeds for display on a display screen of each participant in a video conference and (based on the participant display device data) a screen specification for each display screen of each participant. The system may then compute an arrangement for the number of data feeds that fits within an available display area.

Methods, systems, and apparatus, including computer programs encoded on media, for implementing a dynamic processor architecture, in one or more aspects of the subject matter described in this specification, include an apparatus that includes a switch coupled with compute elements in a hardware processor to enable selective formation of one or more cores from the compute elements in the hardware processor; and means for dynamically determining how many of the one or more cores to form in the hardware processor by providing control signals to the switch to execute instructions of one or more computer programs based on (i) a current instruction set to be executed and (ii) a current set of compute elements available to process the instructions.

Extraction across a predicted employed branch instruction in an extraction beam of a processor-based device is disclosed. In an exemplary aspect, a processor-based apparatus includes instruction processing circuitry configured to process a stream of instructions in an instruction pipeline. The instruction processing circuitry includes instruction fetch circuitry configured to generate a fetch bundle including a plurality of fetched instructions from the instruction stream, where a last fetched instruction of the plurality of fetched instructions is a branch instruction predicted to be taken. The instruction processing circuitry is further configured to identify the plurality of extracted instructions as loop iterations. The instruction processing circuitry is further configured to determine that at least one loop iteration copy is adapted to be placed within the fetch beam. The instruction processing circuitry is additionally configured to store the at least one loop iteration copy within the fetch beam in response to determining that the at least one loop iteration copy is adapted to be placed within the fetch beam.

The invention provides a request processing system, method and device, a storage medium and a product. The system comprises a front-end declaration module, an adaptation processing module and a server-side execution module, and the front-end declaration module is used for generating field declaration information and sending the field declaration information to the adaptation processing module; the adaptation processing module is used for generating a target request data packet corresponding to the field declaration information according to a target protocol mode corresponding to the server, and sending the target request data packet to the server execution module; and the server execution module is used for determining response data corresponding to at least one target processing instruction in the plurality of processing instructions, and sending the response data to the front-end declaration module. Request processing reliability can be improved.

The application provides a kind of metal product processing control method and system based on three-dimensional modeling, it is related to computer technology field, first, the design requirement file of the metal product to be processed is obtained, including structure description and material attribute data, initial three-dimensional framework data and initial internal structure data are generated by three-dimensional structure analysis and combined into product initial three-dimensional model data;Then, the product initial three-dimensional model data is subjected to surface subdivision reconstruction processing to obtain product finishing three-dimensional model data;Then, a preset metal material stress feedback model is called to perform layer-by-layer forming simulation analysis, and a processing simulation feedback data set is generated;Finally, a continuous processing instruction sequence for driving machine tool motion control is generated according to the processing simulation feedback data set.The application realizes accurate control of the metal product processing process, improves the processing precision, efficiency and quality stability, and reduces the cost.

The invention relates to the technical field of service scheduling, and particularly discloses a model context protocol service scheduling method and system and a storage medium, and the method comprises the steps: querying a service type of a service scene, and obtaining a task execution table of the service type based on a pre-obtained permission; the task execution tables of different service types are compared, the relevancy between the service types is determined, and a task link is created according to the relevancy; obtaining subject information of a user in real time, identifying the subject information, and matching a task link; and updating the service process of each service type according to the task link. According to the invention, statistics is carried out on the service process of the user, different task links are determined, the preprocessing instruction is generated in advance and sent to the subsequent service system when the user is served, and the subsequent service system carries out preprocessing work when executing the service task, normally executing the service task and idle. And the efficiency of the whole service scene is greatly improved.

The invention provides a resource allocation method and device, electronic equipment, a medium and a program product, relates to the technical field of information, and can improve the accuracy of resource allocation. The specific technical scheme is as follows: receiving and responding to a resource allocation request from a target account, and determining a target business scene corresponding to the target account; obtaining a target resource configuration mode associated with the target service scene from a resource configuration mode database; acquiring historical proportion information of each target resource allocation object from a resource allocation mode database, acquiring state information associated with each target resource allocation object from an allocation state database, and sending the information to the target account; receiving a mode confirmation instruction or a mode updating instruction which is returned by the target account and is generated based on the target resource configuration mode, the historical proportion information and the state information; and based on the processing instruction, generating a target resource allocation request message, and performing resource allocation for the target account. The method is used for resource allocation.

The invention discloses an AGV group control scheduling optimization method based on multi-modal distribution instruction fusion, and relates to the technical field of AGV group control scheduling. According to the method, a unified data basis is provided by generating a standardized digital mapping standing book; a to-be-processed instruction set is generated through multi-modal distribution of the instruction set and state feedback data and source marking, timestamp calibration and validity verification, and the validity of the instruction is ensured; an executable task queue is obtained by performing analysis, verification, priority calibration and task element conversion on a to-be-processed instruction set, and the compliance and orderliness of tasks are guaranteed; through generating a task execution list and a cluster traffic management and control time sequence table, matching of tasks and AGV resources and cooperative management and control of cluster traffic are realized. By issuing the task execution instruction and the path parameter, collision avoidance management and task progress monitoring are executed, and a new high-priority instruction is supported to trigger the update of the executable task queue, so that the security and timeliness of task execution and the flexibility of scheduling are ensured.

The application provides a machine room air conditioner alarm cooperative processing method and system for device group control, relates to the technical field of control, and comprises the following steps: obtaining a plurality of air conditioner alarm information, performing spatial correlation analysis based on a device topology relationship, mapping the alarm information to a group control cooperative graph structure containing device nodes, alarm propagation edges and control dependency edges, identifying a root cause device node by using a reverse path backtracking algorithm, and generating a priority processing instruction. The application can accurately locate an alarm root cause, reduces a false alarm rate, and improves air conditioner system operation efficiency and energy utilization rate.