148 results about "Simics" patented technology

The invention provides an intelligent teaching-assistant system base LLM training method for a drilling simulator, and belongs to the technical field of petroleum drilling large language model training, and the method comprises the steps: obtaining the simulation data of the drilling simulator based on an intelligent teaching-assistant system base large language model, and carrying out the field self-adaptive pre-training; performing fine adjustment on the original weight by utilizing low-rank self-adaption, and performing operation steps and fault diagnosis generation; the method comprises the following steps: constructing an enterprise private knowledge base, training a large language model by utilizing retrieval enhancement generation, and obtaining a trained verification header through explicit supervision; a direct preference optimization loss function is defined, a direct preference optimization loss function of retrieval perception is obtained in combination with the verification head, the large language model is optimized, and large language model training is completed; according to the invention, an external professional knowledge base can be fused, an equipment operation mechanism can be understood, an intelligent assistant architecture with teaching guidance and error diagnosis capabilities is provided, and the intelligent level of the drilling simulator is improved.

The invention relates to a reconfigurable equipment simulation system based on software radio, and the system achieves the high-integration, user-friendly and efficient-management reconfigurable equipment simulation system through the modularization and seamless integration of a radio waveform design function, an equipment simulation user operation interface design, a business logic function design and a project management function. Therefore, even if a user does not have a deep programming capability, the user can quickly construct, test, manage and deploy the equipment simulator with complete functions. The system is rich in waveform component and UI component library, customizable in function and good in flexibility, software radio waveform design and equipment simulation are innovatively and seamlessly integrated, automatic non-inductive or manual upgrading can be achieved, the universality is good, various equipment simulators can be designed, the designed equipment simulators have open function expansion, and the system is suitable for popularization and application. And a complete project management process is provided.

The invention discloses a method for realizing accurate synchronization of a time sequence in a simulator based on a shared memory, which relates to the technical field of simulator development and cross-process communication, and comprises the following steps: constructing a standardized three-layer layout comprising a head control region, an annular data region and a compact storage unit, the annular data area circularly accesses, and the compact storage unit binds data and a time sequence; cross-platform zero-leakage resource management is realized through a global singleton handle manager, and interface multiplexing is provided or a shared memory is created and mapped; the sending end encodes data, binds a time sequence and atomically updates a write pointer, and the receiving end reads the data, calibrates the time sequence and atomically updates a read pointer; and executing time sequence precision, transmission delay, throughput and stability verification. According to the method, the lock competition overhead is eliminated, the cross-process data transmission efficiency is greatly improved, the time sequence synchronization accuracy is guaranteed, and the hardware bus refinement requirement is met.

The invention discloses a virtual-real combined sky-ground multi-domain heterogeneous network cooperative computing simulation system and a virtual-real combined sky-ground multi-domain heterogeneous network cooperative computing simulation method. The system comprises a heterogeneous computing power prototype subsystem, a virtual simulation subsystem, a satellite-borne general computing terminal, a programmable network simulator, a heterogeneous resource management subsystem and a simulation verification system interface. Real hardware computing power characteristics are introduced through a physical board card, large-scale expansion is realized through virtual nodes, and authenticity and large-scale performance of simulation are considered; link parameters are generated according to a high-precision orbit dynamics model, and the fidelity of sky-ground network simulation is greatly improved; based on a mixed container arrangement technology, unified management and intelligent scheduling of sky, air and ground heterogeneous resources are realized, and a powerful platform is provided for verifying an advanced cross-domain collaborative algorithm; one set of system can support various simulation verification requirements of networking routing, task unloading, distributed cooperative computing, constellation cluster management and control and the like, and the research and development cost and complexity are reduced.

The invention relates to the technical field of industrial automation control, and provides a method and system for achieving online simulation of an HMI simulator, and the method comprises the steps: monitoring the starting and offline simulation process of an original HMI programming software simulator, and confirming that the original HMI programming software simulator completes the generation of a configuration file; receiving a mode switching instruction of a user through the mode switching interface; in response to the mode switching instruction, terminating the current simulator process; modifying a configuration file generated by the simulator, modifying an operation mode parameter in the configuration file from a first value representing offline simulation to a second value representing online simulation, and dynamically configuring a communication port parameter; the verification information of the configuration file is updated to ensure the legality of the file; and restarting the simulator, and loading the modified configuration file by the simulator so as to establish communication connection with an external PLC (Programmable Logic Controller) or instrument and enter an online simulation mode. On the premise of not depending on entity hardware, online communication and real-time joint debugging of the HMI simulator and the external equipment can be realized.

The invention relates to an embedded chip simulation and debugging method and system. The method comprises the following steps: expanding an instruction decoding module, a register description module and a breakpoint management module which support a C28x instruction set in a GDB debugger, and generating a special debugging front-end program; the method comprises the following steps: expanding a C28x JTAG protocol adaptation module in an OpenOCD debugging agent, and generating a debugging agent program; a C28x instruction set execution simulation unit is realized in the NEMU simulator, and a GDB Server communication module is embedded in the NEMU simulator; seamless switching between a simulation debugging mode and a hardware debugging mode is realized based on a unified configuration file through a software and hardware debugging environment rapid switching control module. The problems that a traditional debugging mode depends on a special hardware simulator, the cost is high and the simulation environment is inaccurate are solved, and through an integrated software and hardware collaborative debugging scheme, the debugging cost is greatly reduced, and the development efficiency and the comprehensiveness of system verification are improved.

The invention discloses a digital twinning full life cycle management method and system based on machining, and belongs to the technical field of digital twinning in intelligent manufacturing, and the method comprises the steps: 1, obtaining a vibration spectrum of equipment, converting the vibration spectrum into a time sequence waveform, and constructing a multi-scale waveform database; 2, calculating a dynamic stiffness coefficient and a damping ratio based on the multi-scale waveform database, and generating a behavior feature vector; 3, constructing a local correction engine, detecting whether the behavior feature vector deviates from a preset reference threshold value, triggering local grid reconstruction of the digital twin model when the behavior feature vector deviates from the preset reference threshold value, and adjusting model parameters; 4, constructing a virtual load simulator, simulating equipment response based on the adjusted model parameters, and comparing the simulation response with the time sequence waveform; dynamic self-adaptive adjustment of the parameters of the digital twin model can be realized, the mapping precision of the digital twin model to the nonlinear and multivariable coupling state of the equipment is improved, and the timeliness and reliability of a prediction result are guaranteed.

The embodiment of the invention provides an intelligent agent system for graphics processor development and a graphics processor development method, and is applied to the technical field of graphics processor development. The intelligent agent system comprises a first intelligent agent, a second intelligent agent, a plurality of third intelligent agents and a fourth intelligent agent. The first intelligent agent is configured to receive a development task and drive the other intelligent agents to execute corresponding operations in sequence or in parallel so as to complete the development task; the second agent is configured to maintain related documents; the plurality of third agents are configured to generate function codes based on related documents; and the fourth agent is configured to perform joint test on the function codes to generate test information. The plurality of third agents includes a simulator agent, an assembler agent, and a test program agent. According to the intelligent agent system, related documents serve as a single fact source, a simulator, an assembler and a test program are automatically processed through multi-intelligent-agent cooperation, and the consistency of all components consuming the related documents is guaranteed.

The invention provides a testing method and device, a storage medium, electronic equipment and a program product, and relates to the field of chip research and development, in particular to the technical field of chip testing and operator updating. According to the specific implementation scheme, based on chip parameters of a to-be-researched and developed chip, an operation environment used for operating a first operator is configured on a simulator used for simulating the to-be-researched and developed chip, and a first simulation chip is obtained; based on the hardware parameters of the reference hardware, configuring a running environment for running a second operator on the reference hardware to obtain a reference chip; determining a first test result and a reference result; and based on the first test result and the reference result, performing test evaluation on the to-be-researched and developed chip, and determining a test evaluation result of the to-be-researched and developed chip.

The application discloses a RISCV application program dynamic analysis method and device based on hardware virtualization, which comprises: an operating system kernel running on a reverse RISCV, obtaining process kernel data structure; simulating a RISCV CPU based on a hardware simulator, and constructing a basic process list of the operating system; using an sptbr register and the process kernel data structure to obtain characteristic information of a new process; screening the characteristic information according to the basic process list to obtain a target process; performing API detection and instruction analysis based on process information and dynamic running process information of the target process to obtain a dynamic analysis result. The application can completely and transparently monitor the whole process of program running on a RISCV CPU, and provides configurable efficient process information acquisition, API calling information acquisition and instruction execution information acquisition; the monitoring process does not depend on a system interface, transparent process monitoring can be realized, and the running process of the monitored target is not affected.

The invention discloses a permeability coefficient field inversion method based on physical fusion large language model multi-agent, and belongs to the technical field of hydrogeological modeling and artificial intelligence crossing. The method aims at solving the problems that in the prior art, efficiency is low due to dependence on artificial experience, a pure data driving method lacks physical consistency, and closed-loop error correction cannot be achieved in large language model application. The method comprises the following steps: constructing a collaboration framework comprising a reasoning agent and an execution agent; generating an inversion code for calling a groundwater numerical simulator by the reasoning agent according to a natural language task; and the execution agent runs the code and obtains a simulation result, a code execution error and a simulation error are fed back to the reasoning agent through a double feedback mechanism of an inner-layer logic loop and an outer-layer physical loop, and the reasoning agent is driven to dynamically correct and iteratively optimize the code or an inversion strategy until the result is converged. According to the method, full-process automation of permeability coefficient field inversion is realized, and the physical rationality and reliability of an inversion result are ensured while manual dependence is reduced.

A method for performing system simulations that comprises receiving, by a processor, input data for generating a simulation model; generating, by the processor, the simulation model for performing simulations based on the input data, the simulation model comprises a voxel model that performs simulations as voxel-by-voxel representations; and generating, by the processor, a simulation report based on simulation output of the simulation model.

The invention discloses a period precise simulator design method for a combinable core particle network, and relates to the technical field of core simulation testing, and the method comprises the steps: designing a simulation frame of a combinable core particle network simulator; wherein the simulation framework comprises a two-stage core particle network configuration unit and a multi-thread parallel simulation framework; carrying out combinable topology modeling, modular routing mechanism modeling and heterogeneous router micro-architecture modeling on the combinable core particle network; performing protocol layer protocol conversion modeling, protocol layer flow control mechanism modeling, adaptation layer retransmission mechanism modeling and physical layer electrical behavior modeling on the core particle interconnection protocol interface; based on the above design, the period precision simulator for the combinable core particle network is constructed. By designing the simulation framework, more accurate actual core particle network behaviors can be obtained; a higher simulation speed is realized through a multi-thread parallel simulation framework, multi-thread parallel accelerated simulation under a large-scale network is supported, and the simulation test efficiency is improved.

The application relates to a system and method for architecture-level fault injection based on systolic array accelerator reliability analysis, relates to the technical field of CNN accelerator analysis, and solves the problems that, in the existing CNN reliability analysis method, the reliability analysis of the software level and the architecture level produces contradictory conclusions, and the analysis from the software level alone cannot meet the actual reliability characteristics of the underlying hardware application, and the like, the system comprises an execution simulator, a fault injection module and an analysis module; the execution simulator is responsible for calculation simulation, the fault injection module customizes and simulates fault generation, and the analysis module performs data analysis and result recording; by adopting the method, period-accurate fault injection can be performed on three types of registers under different systolic array sizes, a plurality of different fault types are supported, and the analysis framework can generate detailed intermediate process data information and result record information; the application is simple to implement, cross-platform, has good expansibility, and meets the application requirements.

The application discloses a kind of API sequence semantics and graph structure feature fusion Android malware dynamic detection method, including the following steps: running Android application in simulator environment, monitoring and collecting runtime log, extracting API method name sequence from log, retaining call order semantic information;Based on point mutual information PMI theory, global API dependency graph is constructed;Combined with semantic embedding and graph structure embedding, joint feature representation is generated, including semantic embedding, graph structure embedding and joint embedding;The fusion embedding is input into pre-training BERT encoder, and the feature is extracted through self-attention mechanism, and the detection result is output by the classifier with [CLS] flag bit vector;The application significantly improves the detection performance, and has strong practical application value.

The invention discloses a structural parameter optimization method of a Stewart platform, and belongs to the technical field of parallel robots. The method comprises the following steps: firstly, establishing a mathematical model of a Stewart platform, carrying out degree-of-freedom analysis on the platform, and establishing a kinetic equation based on a positive and inverse kinematics relationship and a Lagrange method; then determining an optimization target which covers a working space, rigidity, motion precision and stability; on this basis, a particle swarm optimization (PSO) algorithm is adopted to carry out global optimization on key parameters such as branch length, platform layout, driver position and the like, and a fitness function is utilized to comprehensively evaluate platform performance; and finally, inputting an optimization result into finite element analysis (FEA) and multi-body dynamics simulation (MBD) software for verification. Experimental results show that the working space of the Stewart platform can be remarkably expanded, the motion precision and rigidity of the Stewart platform are improved, stress distribution is improved, and the overall stability is enhanced. The method breaks through the limitation of traditional empirical design and single-target optimization, has the advantages of high optimization efficiency, high global search capability and high convergence speed, is suitable for scenes such as flight simulators, precision machining and spaceflight test platforms, and has wide engineering application value.

The application provides an emulator-based OS network data processing mechanism simulation system and simulation method, wherein the simulation system comprises nodes, network devices, channels, application programs, protocol stacks, data packet structures, hardware resource management modules and processing simulation modules; the hardware resource management modules are used for providing hardware resources and corresponding hardware parameters for the processing simulation modules; the processing simulation modules generate simulation models of OS network data under preset processing mechanisms based on functions of functions in the emulator, and generate simulation instances according to the simulation models, the hardware resources and the corresponding hardware parameters; the hardware resources, the network devices, the application programs, the data packet structures, the protocol stacks and the simulation instances are included in the nodes, and the nodes are connected through the channels. The simulation process of the application has strong flexibility and scalability for network data processing.

The invention particularly relates to a visual programming portable game machine based on a matrix type LED display and a knob encoder, and relates to the technical field of electronic game development. A server module; and a hardware setting module. According to the system and the method, the visual programming module takes an OpenBlock graphical language as a core, game logic can be constructed through the dragging module, a user does not need to master professional code knowledge, and grammar obstacles of traditional programming are eliminated; a device-based simulator at the Web end supports real-time debugging, logic validity can be quickly checked, and later-stage problems of development are avoided; according to the method, non-programming basic groups such as children and educators can also perform creation conveniently, the feasibility and efficiency of users participating in game creation are remarkably improved, the development trial and error cost is reduced, and finally construction of national game development ecology is promoted.

The invention discloses a method and system for verifying an RISC-V processor and a computer readable storage medium. The method comprises the following steps: analyzing an RISC-V official manual and a micro-architecture user manual, and generating a static instruction-resource mapping table; and generating a first test instruction sequence for each instruction in the static instruction-resource mapping table, executing the first test instruction sequence by using an RISC-V processor simulation model constructed by a software simulator, and dynamically calibrating the static instruction-resource mapping table in the execution process. And traversing the instruction and resource mapping relationship in the calibrated static instruction-resource mapping table, analyzing RISC-V processor verification logic, and if a conflict is found, outputting a conflict report so as to complete defect repair before RTL code writing. According to the application, hardware behaviors can be accurately associated, the problem of disjunction of semantics and micro-architecture is solved, and conflict prediction in an architecture design stage and end-to-end automatic verification from instruction semantics to micro-architecture behaviors are realized.

1. Name of the designed product: simulator base. 2. Use of the designed product: the designed product is used for simulation driving. 3. Design points of the designed product: in shape. 4. Picture or photo best indicating the design points: perspective view 1.

A method for simulating a process in a new or existing oil and / or gas processing facility includes receiving a user prompt from a user with an application. The method also includes transmitting the user prompt from the application to a trained large language model (LLM) agent. The method also includes transmitting suggested tool values and / or suggested parameter values from the trained LLM agent to the application based upon the user prompt. The method also includes transmitting a tool request from the application to a simulator based upon and / or in response to the suggested tool values and / or the suggested parameter values. The method also includes transmitting a tool output from the simulator to the application to the trained LLM agent based upon and / or in response to the tool request. The method also includes generating a response based upon the user prompt and the tool output using the trained LLM agent.

The invention discloses a simulation scheduling method, device and equipment for cluster resources, a medium and a product. The method comprises the steps that a node resource configuration table of a target cluster group is acquired, the target cluster group is composed of at least one target cluster, and each target cluster is composed of at least one node and at least one working load; injecting node scheduling configuration matched with each node into a pre-configured simulator instance, and executing simulation scheduling operation on the target cluster group according to the simulator instance and each node scheduling configuration to obtain a scheduling result file; and generating a simulation scheduling report matched with the target cluster group according to the scheduling result file. Through the technical scheme of the invention, the simulation scheduling of the cluster resources can be realized, the acquisition efficiency and the result accuracy of the simulation scheduling result of the cluster resources are improved, and the efficiency of the scheduling work of the cluster resources and the service operation efficiency in the cluster environment are further improved.

An event-based simulator enables designers and developers to optimize performance and power for neural network model execution on accelerators and full-stack computing systems. The simulator decomposes neural network models into tasks, simulates dispatch, completion, and dependencies using task queues, and advances simulation time according to predetermined task durations. Events recorded during simulation provide performance statistics and metrics, while activity factor sampling estimates power consumption. Extending simulation to the entire system stack allows end-to-end analysis of deep neural network execution in multi-threaded environments with multiple pipelines and varying quality-of-service levels for different models. Performance metrics such as latency, throughput, deadline-miss rate, and utilization are derived from event data points collected across different system stack levels.

The application discloses an Android simulator game intelligent recommendation method and device and a readable storage medium, and comprises the following steps: firstly, multi-dimensional feature data of users and games on both sides is comprehensively collected to form a structured data set; through feature processing on the data, a standardized feature vector of the users and the games is constructed; based on the vectors, a multi-path recall, rough sorting, fine sorting and rearrangement cascading filtering process is adopted to generate a sorted recommendation list; the method can render and display the recommendation result according to the real-time simulator operation scene of the user, and collect user interaction feedback; finally, feedback data is used to dynamically update a model and strategy parameters to form a closed-loop iterative optimization system, so that more accurate and scene-based game recommendation is realized.

The invention relates to an application generation device, an application generation method, and a program product. An application generation device generates a request for a machine learning model for a newly generated application on the basis of a result of a conversation with a user of the application by using a large-scale language model, and generates a machine learning model for the newly generated application by using the large-scale language model. Generating code and simulation parameters of a simulator for learning of the machine learning model based on the request, and constructing and generating runtime of the simulator, generating simulation data as a group of input to the machine learning model and output from the machine learning model by using the runtime of the simulator, a machine learning model is generated by using the simulation data as learning data.

A method and system for calibrating a simulator instance is disclosed. Specifically, the method and system disclosed herein may receive, by a workload generator, a trace file specifying operations; generate, by the workload generator, a workload based on the operations, wherein the workload includes one or more read or write requests corresponding to the operations of the workload; receive, by the simulator instance, the read or write requests from the workload generator; and process, by the simulator instance, the read or write requests based on a set of simulation parameters to generate simulation results, wherein the simulation instance is calibrated, at least in part, based on the simulation results.

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 application discloses a simulator data injection method, which comprises the following steps: receiving a user's starting operation on at least two simulators, i.e., a first simulator and a second simulator, starting the first simulator and the second simulator, and generating a simulator registration list; receiving a user's data adding operation, determining first data added by the user for injection into the first simulator and second data for injection into the second simulator; receiving a user's data injection operation, injecting corresponding data into the first simulator and the second simulator according to the simulator registration list, the first data and the second data, so that the first simulator and the second simulator perform corresponding processing according to the corresponding data. That is, the data injection of two or more simulators can be realized through one data injection operation of the user, the data injection operation is simplified, the data injection is more convenient, and the development and debugging experience of the user is improved. The application further discloses a simulator system and an electronic device.

The invention provides an imaginary number hybrid simulation consistency data interaction method and system based on puppet entities, and the method comprises the steps: determining virtual simulator force resources participating in simulation, and generating a virtual force-puppet entity four-layer element index mapping table; according to the four-layer element index mapping table, exclusive data field intervals are divided for puppet entities of the same kind, data field identifiers are further dynamically distributed to members in the intervals, and data field isolation between the puppet entities in the digital space is completed; configuring transmission strategies for different theme protocol types according to different types of protocol data of different puppet entities in respective data interaction exclusive domains; the puppet entity carries out frequency division on the synchronization time macro-beat to the micro-beat capable of being scheduled and calculated in the simulator according to the simulation period requirement of the mapped simulator; and formulating a set of full life cycle management mechanism for the puppet entity, and performing unified management on the states of stages such as creation, initialization, operation, pause / recovery, termination and destruction of the puppet entity in the simulation process. According to the method, the data transmission overhead is effectively reduced, and the space-time consistency and situation consistency of imaginary number hybrid simulation are ensured.

Example embodiments of the present disclosure relate to the management of simulated user equipment (UE) for distributed unit (DU) capacity evaluation. According to example embodiments, a UE simulator may be implemented. The UE simulator may include a Layer 2 (L2)-simulator and a Multi-UE Cell Emulator (MUCE). The L2-simulator may be configured to receive data from a Layer 1 (L1)-forwarder of a DU and the MUCE. Further, the L2-simulator may be configured to forward data to the MUCE and the L1-forwarder of the DU. Furthermore, the L2-simulator may be configured to simulate L2 functionalities of a UE. The MUCE may be configured to simulate Layer 3 (L3 ) functionalities of the UE.