117 results about "Machine instruction" patented technology

The invention provides a code compiling method and device based on a P4 assembler, the assembler and a medium. The code compiling method comprises the steps that a to-be-processed assembly code file is obtained; splitting and compiling the assembly code file to obtain a plurality of code segment compiling results; according to the auxiliary information, by taking Parser components, Mat components and Deparser components contained in the Ingress unit and the Egress unit as classification types, classifying the code segment compiling results to obtain code segment groups; linking the P4 table item data and the machine instruction code contained in the code segment group, and endowing a link result with a global instruction identifier and code segment header information to obtain a code segment binary code; and generating a firmware file based on the code segment binary code. The compiling process of the network processor can be simplified, so that the development efficiency is improved.

A task processing method performed by an electronic device includes generating, based on task prompt information corresponding to a target task in a service scenario, a system interaction parameter corresponding to the target task. The task prompt information describes the target task in a form of natural language, and the system interaction parameter describes the target task in a form of machine instructions. The method further includes invoking a task system of the target task to process the system interaction parameter, and determining a processing result corresponding to the target task based on output information of the task system for the system interaction parameter.

A Health Value Analytics (HVA) system includes an electronic medical record (EMR) / HVA access device in the form of comprising machine instructions for facilitating a physician's workflow. A processor at a physician's work terminal executes the machine instructions to connect the terminal with a HVA server and / or an EMR server. The processor sends a medical information request for a patient and information related to characteristics and parameters of the terminal, to one or both the HVA server and the EMR server. The processor receives, in response, an EMR page generated and adapted by the EMR server for display on the terminal. The EMR page displays an electronic medical record of the patient, and one or more HVA data objects generated by the HVA server, after the EMR server adapts the EMR page based on mode information that includes characteristics of the terminal.

The invention discloses an experiment scheme execution method and system based on a large language model, and relates to the technical field of scheme design, and the experiment scheme execution method based on the large language model comprises the steps: obtaining multi-modal information input by a user, recognizing the intention of the user, and triggering a workflow; verifying whether the experiment information corresponding to the user intention is complete or not according to the intelligent agent, and if yes, integrating and outputting an initial experiment scheme through a large language model; according to the knowledge base, performing knowledge retrieval on the initial experiment scheme, and combining the retrieved reference content with the initial experiment scheme to obtain a candidate experiment scheme; performing user real-time interaction based on the candidate experiment scheme to obtain a modification opinion input by a user, obtaining real experiment environment information, and modifying the candidate experiment scheme according to the modification opinion to obtain an executable experiment scheme; and compiling the executable experiment scheme into a machine instruction format to drive equipment to execute the executable experiment scheme. According to the method, the suitability of the biological wet experiment scheme is improved.

The invention discloses a design method for an on-orbit accompanying measurement and control communication machine state machine model, and the method comprises the steps: constructing a data model of a measurement and control communication machine state machine, and enabling the data model to be used for calling data externally; constructing a context model of the state machine of the measurement and control communication machine based on the data model, and constructing a logic architecture of the state machine of the measurement and control communication machine based on scene service data; based on the logic architecture, the context model obtains an executable extended state machine and updates the feature attributes; obtaining a simulation model through periodic continuation based on the state machine capable of executing expansion and the context model, wherein the simulation model is used for processing uplink and downlink remote control and telemetering, voice and distance measurement service data of satellite communication, responding to a communication machine instruction set of the state machine of the measurement and control communication machine and outputting communication machine product telemetering; universal configuration is implemented based on the communicator instruction set and the communicator product telemetry.

The invention discloses an ALU operation fusion processing module and method suitable for a neural network, and the module comprises a control unit which is used for receiving and decoding a machine instruction, managing the execution processes of internal and external circulation and microinstruction circulation, and generating a control signal of each stage of a microinstruction assembly line; the microinstruction buffer area is used for storing a microinstruction sequence pre-generated by the neural network compiler; the register file is used for storing source operands and results of ALU operation; each entry of the register file is composed of a valid bit, a tag bit and a data bit; the ALU computing core adopts an SIMD (Single Instruction Multiple Data) architecture and comprises a plurality of paths of parallel arithmetic logic function units; the Load / Store unit is used for processing data exchange between a register file and a local buffer area; and the data selection interface is used for selecting a data source or a target buffer area according to the storage tag field of the microinstruction. According to the method, the high efficiency and the flexibility of the ALU in the neural network hardware accelerator can be effectively considered.

A system, method, and computer-readable medium having machine instructions provides for predicting geometric shape accuracy of 3D printed products. Such a prediction may involve developing a model of an object and determining ways in which an actually-manufactured 3D object corresponding to the model differs in real life. These differences correspond to shape deviations. Shape deviations may be process dependent and / or path dependent, and different layers of the object as well as the manufacturing process to make the different layers may introduce shape deviations in layers of the object. By developing a transfer functions of the manufacturing process and associated interlayer effects of the layers and then appropriately offsetting inputs to the manufacturing process, the shape deviations may be ameliorated.

The invention relates to the field of code vulnerability detection, in particular to a binary vulnerability retrieval and positioning method and system based on high-dimensional vulnerability characterization, and the method comprises the steps: firstly inputting a binary file, analyzing the structural information of the binary file, and analyzing a machine instruction; extracting binary file function information, generating a cross-platform basic block IR instruction sequence, constructing a control flow graph, and constructing a data dependency graph; splicing the program dependency graph feature vector and the basic block IR instruction sequence feature vector, and performing multi-modal feature fusion to generate a comprehensive high-dimensional vulnerability representation vector; and finally, inputting the high-dimensional vulnerability representation vector into an index for searching to obtain a plurality of nearest neighbor indexes and distances, converting the distances into similarity, filtering according to a similarity threshold to obtain a most similar vulnerability vector, and obtaining vulnerability information and vulnerability positions corresponding to the vulnerability vector. The problems that traditional binary vulnerability detection cross-platform and compiler optimization detection fails and the result reliability is low are solved.

The invention discloses a cross-platform binary code block hierarchical semantic similarity detection method and a related device, and belongs to the field of code vulnerability detection.The cross-platform binary code block hierarchical semantic similarity detection method comprises the following steps that structural information of a binary file is analyzed, a machine instruction is analyzed through a hybrid disassembling engine, a basic block is extracted from the structural information of the binary file, and the basic block is extracted from the binary file; constructing a control flow graph, a data dependency graph and a function call graph; extracting instruction level semantics, basic block level semantics and function level semantics from the instruction sequence, the basic block, the control flow graph, the data dependency graph and the function call graph; according to the instruction-level semantics, the basic-block-level semantics and the function-level semantics, constructing instruction-level features, basic-block-level features and function-level features; and carrying out hierarchical similarity detection on the instruction-level features, the basic block-level features and the function-level features. The method and the related device can solve the problems of low detection efficiency and poor accuracy when a traditional vulnerability detection method is used for detecting vulnerabilities.

The invention discloses a man-machine instruction automatic generation external control system and method based on physical isolation perception. The system comprises an external execution body, a display sensing module, an artificial intelligence decision module and an input execution module. The local independent proxy device operates independently of the controlled system, acquires a screen display signal of the controlled system in one direction through an external display acquisition link, generates a control instruction based on acquired interface information, acts on the controlled system through a standard man-machine input interface, and constructs a closed-loop verification mechanism taking the screen display signal as a judgment basis. The information acquisition constraint, the judgment constraint and the execution authenticity constraint are followed, and verifiable confirmation of a control instruction execution result is realized. The system supports multi-mode triggering and external physical equipment extension control, solves the problems of insufficient safety, limited compatibility and poor verification reliability in the prior art, and is suitable for application scenes with high safety requirements.

The invention relates to the field of code vulnerability detection, in particular to a vulnerability detection method and system based on code block features. The method comprises the steps that firstly, a binary file is analyzed, and a machine instruction is analyzed through a hybrid disassembling engine; secondly, performing static linear scanning on the extracted binary file instruction, constructing a control flow graph, dividing basic blocks, extracting an operation code sequence in the basic blocks, and constructing a cross-basic-block data dependency graph and a system calling sequence called by the basic blocks; secondly, using an LSH algorithm to realize rapid filtering, performing similarity comparison on extracted basic block features and vulnerability feature library features, realizing coarse-grained matching, and screening out a matching candidate set; feature fusion is carried out on the candidate set basic block operation code sequence, the basic block data dependency graph and the system calling sequence called by the basic block, GNN fine-grained matching is carried out on the fused features, and vulnerability detection is carried out. The problems that traditional binary vulnerability detection is poor in adaptability and low in result reliability are solved.

Quantum operations can be simulated on a classical processing system using a quantum virtual machine (QVM). The QVM receives a quantum virtual state including a virtual wavefunction of n qubits. The virtual wavefunction is represented by probability amplitudes stored in a memory location of the classical processing system. The QVM simulates a received quantum operation by determining a set of virtual partial wavefunctions, accessing probability amplitudes for the virtual partial wavefunctions, and executing the quantum operation on the sub-bitstrings. The QVM can measure the result of the quantum operation, add noise, share the virtual wavefunction, or generate efficient machine instructions when simulating the quantum operation.

The invention discloses a method for reading and writing PLC equipment, electronic equipment and a medium, and relates to the technical field of semiconductor manufacturing, and the method comprises the steps: responding to an access signal of the PLC equipment, and determining a communication parameter of the PLC equipment; reading and storing the process data stored in the PLC equipment; analyzing the process data to generate display data so as to control a display interface of the upper computer to display the process data; receiving an operation instruction; converting the operation instruction into a machine instruction which can be identified by the PLC equipment; and sending the machine instruction to the PLC equipment according to the communication parameters of the PLC equipment. The method has the characteristics and advantages that the accessed multi-brand and multi-type PLC equipment is automatically identified, the data of the multi-brand and multi-type PLC equipment is read and written in real time, and the automation level of a centralized control scene of a production line is improved.

The invention discloses a real-time compiling method and device, equipment and a storage medium, belongs to the field of data processing, and can solve the problem that a program cannot be compiled on a target platform in real time. The method comprises the following steps: converting source codes in a character stream into a symbol set through a lexical analysis state machine; processing the grammar symbols in the symbol set through an analysis engine to generate corresponding intermediate representations; the intermediate representation is processed through an assembly generator and a node distributor, a binary file corresponding to a target platform is obtained, and the binary file at least comprises a first machine instruction corresponding to the target platform; and compiling the dynamic code through a real-time compiling engine to obtain a second machine instruction corresponding to the target platform, and putting the second machine instruction into a dynamic loading library to load and run the second machine instruction.

Discloses are systems and method for detecting malicious code in a file. The system receives at least one file. The system analyzes the at least one file, during which offsets from a beginning of the at least one file are detected for data that is similar to code that assembles strings in memory from data included in machine instructions. The system performs emulation of the machine instructions included in the code according to the detected offsets, further comprising: checking an effect of each respective machine instruction of the machine instructions on a control flow, and extracting strings from virtual memory if the respective machine instruction affects the control flow. The system analyzes extracted strings, during which malicious code is detected using malicious code detection rules.

The invention provides a pipeline prefabrication machining method, system and equipment, and relates to the field of pipeline machining.The machining method comprises the steps that three-dimensional coordinate information of a pipeline is obtained based on a construction axonometric map of a nuclear power site; and based on the three-dimensional coordinate information, forming a three-dimensional model of the pipeline by using a parameterized modeling mode of aided design software. And based on the three-dimensional model, an engineering file capable of being recognized and machined by the pipe bending machine is output, and a pipeline machining instruction is compiled and generated for machining of the pipe bending machine. The problems of low secondary design efficiency, low automatic production degree and the like of the nuclear power site pipeline can be solved, the digitization degree of the whole pipeline machining process is improved, and the pipeline production efficiency is improved.

The invention relates to a multi-tool-bit numerical control machine tool system supporting an RTCP function, and the system is configured to store and manage at least two groups of independent RTCP parameter sets, and each group of RTCP parameter sets is associated with an independent tool bit motion unit; according to the machining instruction, RTCP operation is executed for each set of tool bit movement unit so as to generate independent movement control instructions which guarantee that the center point of a tool moves along the programming track; and the motion control instruction is issued to the corresponding tool bit motion unit so as to drive at least two tool bits to perform machining in the RTCP mode at the same time. The invention further relates to an RTCP control method for the multi-tool-bit numerical control machine tool. By the adoption of the multi-tool-bit numerical control machine tool system supporting the RTCP function and the control method of the multi-tool-bit numerical control machine tool system, machining of multiple tool bits in the RTCP mode is achieved, and the machining efficiency is remarkably improved. And a multi-four-axis and multi-five-axis machine tool structure is supported, and certain flexibility is achieved.

The embodiments of the present specification provide a method for generating a bytecode, a method for generating a machine code, and a device. The method for generating a bytecode comprises: obtaining a target source code, and applying a first process to the target source code, the first process comprising: replacing a target statement used for an integer operation in the target source code with a preset objective function; on the basis of the target source code after the first processing, generating a target bytecode, the target bytecode comprising a bytecode instruction generated on the basis of a preset function, and the bytecode instruction instructing to perform the integer operation corresponding to the target statement by means of a preset machine instruction sequence, and to perform an overflow check for the integer operation.

The application provides a runtime suspension detection and positioning method and device for parallel programs, and applies to the technical field of large-scale computing. The method comprises the following steps: constructing a program counter value queue of each target execution unit at each sampling time; recording a stagnation program counter value of a target execution unit in a stagnation state; clustering the stagnation program counter value of the target execution unit to determine a suspended target execution unit; based on a machine instruction corresponding to the stagnation program counter value of the suspended target execution unit, obtaining source file and line number information corresponding to the stagnation program counter value through debugging information; and when the machine code corresponding to the stagnation program counter value of the suspended target execution unit is a call instruction, obtaining function call information. In this way, non-intrusive and low-load monitoring of parallel programs is realized, normal synchronization waiting and abnormal suspension processes are effectively distinguished, and problems are positioned to source code lines.

According to the instruction-level program debugging method and device and the computer program product provided by the embodiment of the invention, the tracking log entry is generated by acquiring the execution data information of the machine instruction, and the key register value and the memory access information before and after each instruction is executed are recorded; any instruction execution point can be accurately traced back in the replay process, then the first tracking log entry is preprocessed into a structured instruction tracking log entry, and machine instructions of a target program are executed one by one through a preset instruction level simulator based on an instruction sequence of a uniform format and an analyzable structure, so that the replay efficiency of the target program is improved. The execution of the instruction is accurately simulated, the instruction-level replay operation of the program state is realized, the dependency on the external environment in the debugging process is greatly reduced based on simulator replay, debugging can be performed in a controlled and isolated environment, any execution path of the program can be replayed, the target program does not need to be run again, and the debugging efficiency is improved. And debugging of occasional and difficult-to-reproduce problems is greatly facilitated.

The invention relates to the technical field of numerical control programming automation, in particular to a numerical control code generation method and device, equipment and a medium. According to the method, a to-be-processed drawing file is obtained and analyzed to obtain a geometric entity, geometric features of the to-be-processed drawing file are identified to form a processing feature sequence, feature types are matched from a preset feature type library, attribute information is extracted to generate a structured sequence, and the processing complexity of each geometric feature is evaluated. And according to the complexity, determining a reasoning model for reasoning to obtain a processing instruction sequence, and finally traversing all geometric features to generate an execution processing code file. Therefore, the geometric information of the drawing file is comprehensively analyzed to obtain a structured sequence, and processing complexity evaluation is carried out to generate an execution processing code file.

This application relates to the field of vision control technology, and in particular to a method and system for compensation and control of CNC machine tools based on industrial vision. The method includes: acquiring real-time images and the position coordinates of the CNC machine tool during the machining process; parsing the current machining instructions to reconstruct the theoretical trajectory, and then constructing an initial contour of an active contour model; performing multiple iterative evolutions on the initial contour using the active contour model until a target contour is obtained; calculating spatial compensation components based on the image deviation of the target contour relative to the initial contour; and adjusting the workpiece zero-point offset of the CNC machine tool using the spatial compensation components. The technical solution of this application can effectively improve the machining accuracy and stability of CNC machine tools in complex machining environments.

A technique for packing matrix multiplications for concurrent execution in an integrated circuit device may include obtaining a description of a neural network model, and generating an intermediate representation of the neural network model. Matrix multiplication instructions in the intermediate representation of the neural network model can then be vectorized for concurrent execution on an integrated circuit device, and machine instructions can be generated for the integrated circuit device based on the vectorized matrix multiplication instructions.

Example embodiments provide an additive manufacturing (AM) compensation system comprising a sensor suite, a controller unit, and an AM device. The sensor suite may be configured to measure ambient conditions through the use of at least one sensing element. The controller unit may be configured to receive the measured ambient conditions and generate adjusted AM data corresponding to a build in response to the measured ambient conditions, the controller comprising a ruleset comparison unit, a machine instruction buffer, and machine instructions for the build. The AM device may be configured to receive the adjusted AM data and manufacturing the build based on the adjusted AM data.

The application relates to the technical field of computer data processing, and provides a high-performance operation method and system of an analytical database based on LLVM, which solves the technical problems of low hardware resource utilization and limited operation performance. The method comprises the following steps: obtaining a structured query statement sent by a computing device, and collecting pipeline pause data and cache miss rate of the computing device during operation; performing syntax and semantic analysis on the structured query statement, and calculating a load pressure value representing the current hardware resource occupation degree; determining a segmentation threshold value according to the load pressure value, and obtaining a plurality of fusion operator subgraphs; in the process of generating an intermediate representation based on an LLVM compiler architecture, an LLVM intermediate representation sequence is generated; the LLVM intermediate representation sequence is compiled by using a compiler of an LLVM back end, target machine instructions are generated, and the target machine instructions are loaded to the computing device for operation processing, so that the operation efficiency of the analytical database and the hardware resource utilization can be improved.

The invention relates to a method for realizing an LD (Load) assembly instruction of a special processor chip based on an LLVM (Load-Load) rear end, and aims at a special architecture of an LD instruction in an instruction set of the special processor chip, a set of complete mapping mechanism from an intermediate representation to a target machine instruction is constructed by newly establishing a rear end processing flow of an LLVM compiling framework, and the LD (Load) assembly instruction of the special processor chip is obtained. And conversion from a high-level language to a chip special assembly instruction is realized. In the legalization stage of the rear end of the LLVM, unified architecture adaptation processing is carried out on global address access and a vector / scalar loading mode through a user-defined ISelLowing mechanism and instruction selection. According to the method, the intermediate language representation is converted into the target machine instruction for the special processor chip by utilizing the LLVM rear end, and according to the method, a developer can directly realize algorithm logic in a high-level language stage without manually writing a bottom assembly code, so that the development complexity is reduced, and the portability and maintainability of the code are improved.

The application relates to the technical field of numerical control machining, and discloses a five-axis linkage numerical control machining precision control system and method, wherein the method comprises the following steps: performing program segment pose synchronous analysis and adjacent program segment pose change prediction on a five-axis numerical control machining instruction to obtain pose synchronous error data; performing program segment length adjustment and double-mode weight distribution to obtain an expected motion track of a tool center point and a non-tool center point; generating a servo control signal according to the expected motion track, and outputting the servo control signal to a five-axis linkage machine tool to execute tool center point and non-tool center point cooperative precision machining. The method dynamically optimizes the program segment length according to actual machining requirements based on an adaptive program segment length adjustment mechanism of a pose change sensitivity coefficient, overcomes the limitation that a traditional fixed program segment length cannot adapt to complex geometric characteristics, improves machining precision while taking into account machining efficiency, and further improves the numerical stability of attitude control.

The invention provides a compact instruction generation type vehicle-mounted control method and device, electronic equipment and a storage medium, and relates to the technical field of intelligent cabins, in the method, a fine-tuned large language model is obtained by adopting a pairing data set of a control instruction in a natural language instruction-compact text format to supervise and train the large language model, and the control instruction is in a compact text format. After receiving a natural language instruction, the device can convert the natural language instruction into an accurate and machine-readable control instruction in a compact text format, thereby completely bypassing the tedious interface description and complex JSON generation step in the traditional MCP scheme, and realizing end-to-end direct mapping from the natural language to the machine instruction. Therefore, the problem of high input and output overhead is solved fundamentally, and the design goals of low delay and high efficiency are achieved.

An aircraft component inspection system is provided. The system includes an image capture system including an image sensor system, a positioning system, and a processor configured to determine an inspection recipe based at least on an identifier associated with a component of an aircraft being inspected, identify a plurality of positions for image capture during an inspection workflow based on the inspection recipe, and determine a plurality of positions for image capture during the inspection workflow based on the plurality of positions. Machine instructions are provided to a positioning system to position an image sensor system relative to a component based on a plurality of positions, cause the image sensor system to capture images at the plurality of positions, and store the images with captured position data in an inspection data database.

The invention relates to the technical field of intelligent manufacturing and industrial software, and discloses a production plan scheduling collaborative optimization method and system based on MOM and multi-source data, and the method comprises the steps: constructing an equipment initial time-varying capability constraint envelope; extracting processing task demand features and calculating a processing effect residual vector; superposing the residual vectors to an equipment state step by step based on a state evolution equation so as to update an envelope in real time, and executing inclusion detection of a demand feature and the envelope; when the detection result is that the detection result is not included, identifying a physical dimension causing envelope narrowing, and generating an active recovery virtual task insertion sequence to remodel an equipment state track until the inclusion requirement is met; and finally generating a machine instruction code to execute closed-loop control. According to the method, a bidirectional coupling mechanism of task execution and equipment physical state evolution is established, online active recovery of equipment capability is realized by using an active recovery strategy, and high precision and stability of heavy equipment manufacturing are guaranteed.