245 results about "Simics" patented technology

The invention relates to the technical field of artificial intelligence chips, and discloses a model performance estimation method and device and computer equipment, and the method comprises the steps: determining model configuration data and candidate distributed strategies of a target model; converting the original calculation graph corresponding to the single-card deployment state based on the model configuration data and the strategy configuration data of the candidate distributed strategies to obtain a distributed overhead calculation graph corresponding to the multi-card deployment state; and performing performance estimation on the candidate distributed strategy according to the basic overhead and the additional overhead in the distributed overhead calculation graph to obtain strategy performance data of the target model under the candidate distributed strategy, thereby realizing conversion of a single-card model into a multi-card model. And based on the multi-card model, simulation calculation of the multi-card interconnection mode is realized on the premise of limited hardware resources, so that the influence of a communication operator and a topological structure corresponding to the multi-card interconnection mode in the overall operation of the model is reflected, and the upper limit of the model performance can be accurately evaluated in a simulator verification stage before silicon is applied.

A platform for multi-stage simulations in a multi-agent simulator computing system utilizes context sharing across simulation sessions. The platform generates agents based on input traits, executes simulation sessions to produce outputs, and persists outputs and agent configuration data (e.g., metadata associated with simulation sessions). A graphical user interface displays simulation outputs. In response to user interaction with a particular output item (e.g., a user follow-up query or inquiry into simulation traceability), the platform identifies the associated agent using persisted configuration data and performs additional operations, which can include generation and execution of additional queries for follow-up simulations.

A computing platform can generate a virtual world and a set of virtual agents having agent traits and interaction rules. For example, by automatically analyzing experimenter queries, the platform can bind the agents to machine learning models that perform tasks responsive to the questions. The platform can generate additional hypotheticals to enable chains of simulations. The platform can execute a first simulation session by causing the set of agents to generate a first output set. Using an additional data source to generate new world characteristics, such as environmental and / or temporal conditions, the platform can generate and apply agent evolution logic for subsequent simulations, such as by performing mutation of agent traits, selection of agents, crossover of agent characteristics, and / or deletion of agents that do not meet a fitness threshold. The platform can persist agent states and outputs to generate user-interactive visualizations, aggregations, and training data sets for training agent models.

The invention discloses a reinforcement learning calculation simulation method and device, electronic equipment and a storage medium, and relates to the technical field of artificial intelligence computing, and the method comprises the steps: inputting the determined current model parameter configuration, current hardware configuration and current working load into a target simulation system to obtain a plurality of parallel grouping combinations, determining a target simulation system according to the current hardware configuration, determining an effective parallel packet combination from the plurality of parallel packet combinations based on a preset Monte Carlo method, inputting the effective parallel packet combination into a simulator of a preset neural network model, and performing delay time calculation according to the effective parallel packet combination through the simulator to obtain a delay time sequence; and the combination corresponding to the shortest delay time is used as a target parallel grouping combination, so that the technical problems of mismatching of simulation scenes, insufficient precision and lack of effective support for heterogeneous clusters are solved, reliable performance prediction and optimal parallel strategy suggestions are provided through high-precision performance modeling and automatic exploration, and the method is suitable for large-scale popularization and application. Therefore, the resource consumption of large-scale GRPO training is reduced.

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 is suitable for the technical field of artificial intelligence, and provides a data processing method and device for a big language model based on federal learning, and the method comprises the steps: decomposing the big language model, and obtaining an adapter and a simulator; performing layer compression processing on the simulator to obtain a compression simulator, and deploying the adapter and the compression simulator to a plurality of clients; obtaining adapter parameters uploaded by each client after training the adapter based on a local data set; performing global aggregation on universal adapter parameters in the adapter parameters, and performing grouping aggregation on personalized adapter parameters in the adapter parameters to obtain aggregated adapter parameters; and outputting the aggregated adapter parameters to the client. According to the scheme, privacy protection can be realized, and individual user preferences are reserved.

Coaching simulator systems and methods, and non-transitory computer readable media, include receiving an interaction between a customer and an agent; scoring the interaction using an evaluation form; identifying a recurring improvement area for the agent based on the scored interaction and past scored interactions; creating a prompt for a large language model (LLM) by populating a prompt template; providing a framework to invoke the LLM using the created prompt, a model and a plurality of hyperparameters; starting a first coaching simulation scenario by invoking the LLM to present a first question to the agent; receiving a first answer to the first question from the agent; querying the LLM to analyze the first answer to the first question; and querying the LLM to provide real-time feedback and a score for the agent based on the analyzed first answer to the first question.

A platform for adaptive multi-agent simulation in a virtual world instantiates a set of agents with input traits and executes a simulation session, generating an output set. Upon detecting a change event in the virtual world, a trained model recommends an evolution operation, which is applied to the set of agents to generate an evolved set. The evolution operation includes mutation, selection, crossover, deletion of agents, or a combination thereof. The platform persists at least a portion of the initial output set and executes a second simulation operation using the evolved agents, generating a new output set and thereby enabling analysis and comparison of simulation results. The disclosed adaptive simulation approach with persisted context enables realistic and dynamic modeling of complex systems.

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.

A method can include receiving property data for a simulation model; analyzing the property data with respect to geometry of the simulation model to select a matrix preconditioner scheme using a machine model; and executing a computational simulator that implements parallel processing based on application of the matrix preconditioner scheme to a matrix representing the simulation model to generate simulation results based on the property data.

The invention provides a steer-by-wire fault degradation processing method, device and equipment and a medium, and belongs to the technical field of intelligent driving fault processing, and the method comprises the steps: obtaining the fault information of each redundant subsystem in system components in real time, and determining the current component state level of each system component; executing corresponding fault processing measures according to the current component state level; wherein the system assembly comprises a lower steering engine and a road feeling simulator, and the fault information comprises no fault, failure fault and degradation fault. According to the technical scheme provided by the embodiment of the invention, the corresponding processing operation can be executed according to the current component state level of each system component, so that the degradation fault and the failure fault of the redundant drive-by-wire system can be accurately processed.

Systems and methods for using distributed quantum-based computing simulators are disclosed. In one embodiment, a method may include: (1) receiving, at a driver node and from a service, a set of operations and a location for each operation compiled from a set of quantum computing instructions provided by a client device; (2) generating, by the driver node, a declarative instantiation plan for the set of operations identifying a plurality of worker nodes, each worker node corresponding to one of the locations; (3) instantiating, by the driver node, the declarative instantiation plan; (4) issuing, by the driver node, the operations to the worker nodes based on the locations for each operation; (5) receiving, by the driver node, results from each worker node; (6) aggregating, by the driver node, the results; and (7) returning, by the driver node, the aggregated results to the client device via the service.

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 water engineering scheduling intelligent parallel caching system for intelligent water conservancy and an optimization method. The system comprises a constraint-driven asynchronous hierarchical caching module, a topology-sensitive cumulative hash module and a polymorphic hierarchical storage module. According to the system, a three-level framework of thread local buffering, global batch processing and an generational sliding window is adopted, and boundary constraint pre-verification is executed on a scheduling scheme; decision vectors are rearranged according to the upstream and downstream topological relation of the water engineering, an upstream engineering decision preferentially participates in Hash calculation and is endowed with a higher weight, and the weight is decreased progressively according to an exponential function; target value arrays are dynamically distributed, and volume class, flow class and time sequence class constraint violation degrees are stored in a layered mode; according to the method, through a topology-aware Hash mechanism and a self-adaptive caching strategy, the recognition precision and the caching hit rate of similar schemes are remarkably improved, repeated calling of a hydraulic simulator is effectively reduced, and the calculation efficiency of water engineering scheduling optimization is improved.

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.

Provided in the embodiments of the present disclosure are a processing method, platform, and apparatus based on a chip simulator platform. The chip simulator platform is deployed with a first test end and a second test end, and the first test end and the second test end are respectively bound with different CPU resources in the chip simulator platform. The method comprises: performing received data packet redirection configuration on a local virtual network interface card of the chip simulator platform, the data packet redirection configuration being used for sending a specified data packet to a designated CPU resource; and when a soft interrupt is triggered in response to a network request issued by the first test end, according to an instruction of the received data packet redirection configuration and by means of the local virtual network interface card, sending a data packet corresponding to the soft interrupt to a CPU resource bound to the second test end for processing. According to the embodiments of the present disclosure, network environment simulation in a chip simulator environment is achieved by utilizing received data packet redirection technology.

According to the game copy automatic test case generation method and the terminal, a copy digital twinning scene is constructed through an environment simulator, an intelligent agent is generated, and the intelligent agent makes a decision by using a dual-network mechanism of a layered DQN controller; training agents in a grading manner by utilizing dynamic course learning, gradually improving difficulty according to copy complexity and migrating low-level training weights, and guiding the agents to explore in combination with a multi-dimensional reward function; generating a test case according to the agent exploration trajectory; according to the method, the digital twinning scene is constructed through the environment simulator, and the intelligent agent autonomously explores and covers a hidden path and a dynamic mechanism based on layered DQN and dynamic course learning, so that the test coverage rate can be effectively improved, the effectiveness of test case generation is ensured, and the dynamic course learning can effectively improve the training efficiency and quickly adapt to copy updating; the defects of low random test efficiency and poor static algorithm adaptability are overcome, and high-coverage, efficient and self-adaptive test case generation is realized.

A development system provides an editor and a simulator between which changes are bi-directionally synchronized. As the simulator runs the application logic, objects may be spawned and destroyed. Object properties (e.g., colors, positions, behaviors, etc.) can also change as time passes. The developer can see these changes in the editor view in real time. The developer can make changes in the editor view that persist and are synchronized in real time to the simulator.

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.

A system and method is provided for designing and optimizing hardware accelerators for neural networks. During a pre-design phase, rules are extracted from compilation patterns that describe conversion between neural network operators, coarse-grained operators, and fine-grained dataflow. A fast mapper for converting neural network models to coarse-grained operator descriptions and a dataflow mapper are generated. A coarse-grained design phase employs an architecture optimizer to generate plural provisional hardware accelerator designs The coarse-grained operator descriptions are simulated using a coarse-grained simulator to obtain performance metrics of each provisional accelerator design. A fine-grained design phase employs a dataflow mapper and fine-grained simulator to finalize provisional hardware accelerator designs. A hardware accelerator is generated from a finalized hardware accelerator design and a corresponding software toolchain is created including a compiler and software development kit (SDK) for programming, debugging, and deploying the hardware accelerator design.

A method for testing at least one electronic control device as a virtual control device on a simulator having at least one simulator arithmetic unit is described and shown, wherein the electronic control device has a hardware configuration comprising at least one arithmetic unit and an external interface for exchanging data and a software configuration assigned to the hardware configuration, the software configuration comprising internal functions and external interface functions, the electronic control device being mapped to the virtual control device in such a way that the internal functions of the software configuration of the electronic control device assume the internal functions of the software configuration of the virtual control device and in such a way that the external interface functions of the electronic control device are replaced by data transfer functions of a software configuration of the simulator arithmetic unit, the software configuration of the virtual control device being converted into executable code for the simulator arithmetic unit and executed on the simulator.

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 embodiment of the invention provides an instruction processing method and device, electronic equipment and a readable storage medium. Under the condition that a compiling environment is a simulator environment, if the actual data bit width of an operand corresponding to a to-be-checked instruction is not matched with the general data bit width corresponding to a target architecture, the to-be-checked instruction is not matched with the general data bit width corresponding to the target architecture; if yes, mapping the operand corresponding to the to-be-checked instruction to a first macro assembly function which corresponds to the to-be-checked instruction and is matched with the actual data bit width of the operand corresponding to the to-be-checked instruction, and generating a target pseudo instruction; the target pseudo instruction is used for performing symbol expansion check on an operand corresponding to the to-be-checked instruction; and under the condition that the instruction execution result of the target pseudo instruction is a first result representing that symbol expansion is incorrect, positioning and symbol expansion optimization are performed on the instruction to be checked. Errors introduced by symbol extension are positioned and solved under the condition that the compiling environment is a simulator environment, it is ensured that all potential risks are eliminated in the simulation debugging compiling stage, errors in actual operation are avoided, and the development efficiency is improved.

The present application belongs to the field of computer technology and discloses a simulator startup acceleration method, device, equipment and storage medium. The method includes: obtaining a pre-read block set; prioritizing each data block according to an access frequency label to obtain a pre-read block sequence; extracting a preset number of high-priority data blocks from the pre-read block sequence to generate a target pre-read block subset; performing a pre-read operation on the target pre-read block subset to obtain preloaded data; storing the preloaded data in a cache to generate a preload cache; responding to a simulator startup instruction, reading the preload cache to obtain startup data; initializing the simulator according to the startup data to obtain an initialized simulator environment; and executing a simulator startup process using the initialized simulator environment. The present application can improve the startup speed of the simulator while meeting the user's personalized needs for simulation accuracy.

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.