588results about "Multiprogramming arrangements" patented technology

A system may include a robotic control circuit configured to control one or more robotic functions of a robot. A system may include a plurality of sensors configured to collect data. A system may include a governance analysis circuit configured to analyze the data and select one or more governance frameworks based on the analyzed data. A system may include a governance model circuit configured to generate a model that applies the one or more governance frameworks to determine one or more governance actions, wherein the robotic control circuit is configured to control the one or more robotic functions in accordance with the one or more governance actions, wherein the robotic control circuit, the governance analysis circuit, and the governance model circuit are integrated on a single substrate.

The invention provides a cross-database unified management and operation method and system, and relates to the technical field of databases, and the method comprises the following steps: establishing a connection by obtaining database connection information; extracting a database structure by using a dialect strategy processor and mapping the database structure into a unified description; converting the operation instruction into a standard intermediate statement; converting the intermediate statement into a target database execution statement by using a grammar analysis module and a conversion rule; and executing and monitoring in a transaction unit mode. Unified management and operation of different types of databases are realized, the consistency and reliability of database operation are improved, and the development difficulty of cross-database operation is reduced.

A computer-implemented method includes receiving a neural network model that includes memory load operations and a plurality of computation operations, selecting a memory load operation having an arithmetic intensity factor (AIF) greater than a threshold value from the memory load operations, grouping computation operations associated with data loaded by the selected memory load operation into two or more clusters of computation operations, and incorporating an instance of the selected memory load operation before each cluster of the two or more clusters of computation operations in the neural network model.

The invention discloses an electronic lead seal data management method based on a block chain, relates to the technical field of internet data services, and aims to solve the problems of node data asynchronization, state updating failure and potential safety hazards of an intelligent contract in the prior art. The data consistency is ensured through a distributed clock synchronization algorithm and a version number verification mechanism; the reliability and fault tolerance of state updating are improved by adopting an improved Byzantine fault-tolerant algorithm and an asynchronous two-stage transaction submission mechanism; data integrity and traceability are guaranteed through a state machine detection mechanism and transaction log records; the security and maintainability of the smart contract are improved based on an automatic code auditing algorithm and a proxy contract mode of a graph neural network; real-time data monitoring and exception repair are realized by using an under-chain auditing mechanism and a cross-chain data consistency verification protocol; according to the invention, the data consistency, the system safety and the reliability of electronic lead seal data management are obviously improved.

The invention provides a professional online collaborative editing method and system for hydropower project cost schemes. The professional online collaborative editing method comprises a standard management process, an intelligent collaborative editing process and a release state synchronous updating process. The standard management process comprises the steps of performing automatic analysis and data standardization conversion on an industrial standard file based on a deep learning model, generating a system rule set and storing the system rule set in a database; and based on the system rule set, automatically generating a standardized filling template of each specialty. According to the micro-service architecture-based intelligent online collaborative editing method and system for the hydropower engineering, a natural language processing NLP technology, a deep learning algorithm and a transaction management mechanism are combined, and the system has the functions of real-time grammar and spelling inspection of filled content, intelligent recommendation, semantic understanding, real-time difference detection, multi-user conflict processing and version control; the problems that communication cost is high, version control is difficult, data verification is not strict and multi-user cooperation is not smooth in water-power engineering cost scheme compiling are solved.

The present invention provides a software design method for intelligent vehicle-mounted terminal based on a microservice architecture, and belongs to the technical field of intelligent networked vehicles. Software system development is realized based on the framework of distributed microservices. In terms of software architecture, the single application integrated by the original intelligent vehicle-mounted terminal is divided into a group of small services, and the services are coordinated and cooperated with each other to provide ultimate value for the application layer and the terminal. Each service runs in its own independent process, and services communicate with each other using a lightweight communication mechanism. Each service is built around a specific business and can be independently deployed to a production environment, a production-like environment, etc. The distributed scenario development method based on the microservice architecture enables different service modules to be freely combined to form application scenarios, which is convenient for independent deployment, distributed management and code decoupling, and the applications can be updated and expanded independently, reducing the coupling of hardware platforms and improving software portability.

Provided is a parallelized and modular planning system that controls multiple actors in performing different tasks simultaneously without conflict based on plans that are modularly created and / or updated. The system may update different parts of different plans at the same time without redefining those plans anew. The system may include a first subsystem that generates a first plan based on an assignment of a first task to a first actor, while a second subsystem provides a path for a second plan assigned to a second actor, while a third subsystem determines access ordering by which a third actor accesses a first resource from a path of a third plan, and while a fourth subsystem controls operation of a fourth actor in accessing a second resource from a path of a fourth plan based on an access ordering determined for the second resource by the third subsystem.

Apparatuses, systems, and techniques to execute CUDA programs. In at least one embodiment, one or more software kernels are caused to indicate one or more dependencies among two or more software kernels. In at least one embodiment, one or more software kernels are performed based on one or more kernel dependencies.

The present application discloses an operation and maintenance task processing method, a storage medium, and an electronic device. The method comprises: acquiring text information, wherein the text information is used for using a natural language to describe an operation and maintenance task to be executed; performing semantic analysis on the text information to determine an operation and maintenance operation instruction corresponding to the operation and maintenance task; and calling a target interface to send the operation and maintenance operation instruction to a target cloud service, and acquiring a target operation and maintenance result, wherein the target interface is a cloud service interface corresponding to the operation and maintenance task, and the target operation and maintenance result is an operation and maintenance result obtained after the target cloud service executes the operation and maintenance operation instruction. The present application solves the technical problems of high learning costs, high operation difficulty and low efficiency in a method for using an operation and maintenance template to define operation and maintenance operation steps.

The invention discloses a multivariable decision processing method and device, a storage medium and electronic device.The method comprises the steps that an initial multivariable decision rule system configured by a user side based on standard DSL grammar rule information is obtained, and the standard DSL grammar rule information is the DSL grammar rule information preset for a multivariable transaction decision development scene; determining all multivariable decision rule combinations corresponding to the initial multivariable decision rule system, determining a reference transaction job flow corresponding to the multivariable decision rule combinations, and constructing a multivariable combination instance library for the initial multivariable decision rule system, and performing engineering language conflict detection processing on the initial multivariable decision rule system based on the multivariable combination instance library to obtain a target multivariable decision rule system after conflict detection, and performing transaction operation process decision processing on the transaction data by adopting the target multivariable decision rule system.

The invention provides a data processing method of a communication network, electronic equipment and a storage medium. The method includes splitting the communication network into a plurality of sub-networks. And configuring a simulation verification model of at least one measurement dimension for each sub-network, and obtaining a digital twin network corresponding to the communication network according to the plurality of sub-networks. And performing simulation verification on the communication network through the digital twin network according to the target configuration parameters of the communication network to be verified. According to the invention, simulation verification can be carried out on the communication network according to the configuration parameters needing to be changed, so that possible problems of the communication network can be predicted before the configuration parameter change actually falls to the ground.

The invention discloses a system and a method for supporting multi-version concurrency control in a column storage database, belongs to the technical field of databases, and aims to solve the technical problem of how to provide efficient and flexible concurrency control and data operation management. Comprising a multi-version management module for creating a transaction ID and a timestamp for each transaction and maintaining a version linked list for each data segment in a column storage database; the operation optimization module is used for performing data operation on the data in the column storage database based on the submitted transaction, performing operation according to a comparison result of a version number and a transaction timestamp when the data operation is executed, and storing the data before modification into a revocation buffer area; the transaction conflict processing module is used for detecting and processing transaction conflicts based on a preset conflict processing rule; the storage space management module divides the storage of the column storage database into table storage and local storage; and the version linked list management module is used for deleting the version information which is no longer referenced by any active transaction based on the transaction state and the version information.

The embodiment of the invention provides a concurrent access control and data processing method and device, a storage medium and a program product. In the embodiment of the invention, a concurrent access control scheme based on a snapshot isolation technology is provided for a database, and the concepts of two-level timestamps, namely a system-level timestamp and a user-level timestamp, are put forward in the concurrent access control scheme; the user-level timestamp performs concurrent access control in a memory state based on the user-level timestamp for data items in a database memory, and the system-level timestamp performs concurrent access control in a system state based on the system-level timestamp for data nodes in an external memory of the database. In the embodiment of the invention, the two layers of timestamps are fused with the snapshot isolation technology, while the advantages of the snapshot isolation technology are exerted, the implementation of concurrent access control can be simplified based on the two layers of timestamps, the concurrent access control can be realized in the memory state and the system state at the same time, and the concurrent performance of the database can be improved.

Systems and methods are disclosed for managing the processing and execution of models that may have been developed on a variety of platforms. A multi-model execution module specifying a sequence of models to be executed may be determined. A multi-platform model processing and execution management engine may execute the multi-model execution module internally, or outsource the execution to a distributed model execution orchestration engine. A model data monitoring and analysis engine may monitor the internal and / or distributed execution of the multi-model execution module, and may further transmit notifications to various computing systems.

The invention discloses a quantum task execution method and device, equipment and a storage medium, and relates to the technical field of quantum. The method comprises the following steps: acquiring a logic quantum circuit of a quantum task to be executed, wherein the logic quantum circuit is an abstract logic circuit for executing the quantum task; according to topological information of the logic quantum circuit and the virtual quantum chip, a virtual quantum circuit of the quantum task is generated, the virtual quantum chip corresponds to a partial structure of the physical quantum chip, and the topological information of the virtual quantum chip is used for representing a topological relation among virtual quantum bits included in the virtual quantum chip; according to the virtual quantum circuit and the bit mapping relation between the virtual quantum chip and the physical quantum chip, a physical quantum circuit of the quantum task is generated, and the physical quantum circuit is a circuit which is constructed based on physical quantum bits and used for executing the quantum task; and executing the physical quantum circuit through the physical quantum chip to obtain an execution result of the quantum task. The method helps to improve the utilization efficiency of quantum computing resources.

Provided in the embodiments of the present disclosure are a task processing method for a target domain, a task processing method for a bioinformatics domain, a task system for a target domain, a computing device, a computer-readable storage medium, and a computer program product. The task processing method for a target domain is applied to the task system for a target domain, and comprises: in response to a target task of a target domain, retrieving, from a task library corresponding to the target domain, a domain task unit related to the target task, wherein the task library is obtained by means of performing construction by means of a target task model and on the basis of a sample task in at least one material file of the target domain and a sample task unit called for executing the sample task; on the basis of the domain task unit, generating meta task information; and on the basis of the meta task information, executing a meta task, so as to obtain a task execution result. Thus, the extendibility of task processing is improved, frequent iterative updates are avoided, costs are reduced, and the task processing efficiency is improved.

A system may include a robotic control circuit configured to control one or more robotic functions of a robot. A system may include a plurality of sensors configured to collect data. A system may include a governance analysis circuit configured to analyze the data and select one or more governance frameworks based on the analyzed data. A system may include a governance model circuit configured to generate a model that applies the one or more governance frameworks to determine one or more governance actions, wherein the robotic control circuit is configured to control the one or more robotic functions in accordance with the one or more governance actions, wherein the robotic control circuit, the governance analysis circuit, and the governance model circuit are integrated on a single substrate.

A cloud management platform obtains service configuration information configured by a tenant on the cloud management platform, where the service configuration information includes one or more of the following: a network identifier, a terminal node identifier, and a terminal node type. The network identifier indicates identifiers of networks including at least two resource pools that establish a network connection, each terminal node corresponds to one resource pool, the resource pools correspond to a plurality of service providers, each resource pool includes a plurality of computing nodes, the plurality of computing nodes are used to run a business of the tenant, and the terminal node type indicates a type of a resource pool corresponding to the terminal node. The cloud management platform creates corresponding terminal nodes for the at least two resource pools based on the terminal node type.

Systems and methods for distributed training of deep learning models are disclosed. An example local device to train deep learning models includes a reference generator to label input data received at the local device to generate training data, a trainer to train a local deep learning model and to transmit the local deep learning model to a server that is to receive a plurality of local deep learning models from a plurality of local devices, the server to determine a set of weights for a global deep learning model, and an updater to update the local deep learning model based on the set of weights received from the server.

The PIO communication device comprises a protocol conversion module and a PIO transaction processing module, the protocol conversion module and the PIO transaction processing module are connected with each other, the protocol conversion module is connected with a computing component connected to a network-on-chip NoC through an AXI interface, and when the computing component initiates a PIO read-write request, the PIO transaction processing module sends the PIO read-write request to the computing component; the protocol conversion module performs conversion of read-write requests between an AXI protocol and a PIO protocol and mapping of response states, and the PIO transaction processing module initiates register access and descriptor writing operation to the network protocol processing component by analyzing the converted PIO read-write requests and receives register read response data returned by the network protocol processing component. According to the invention, a decoupling design of an address channel, a data channel and a response channel is adopted, conversion of a PIO read-write transaction between an AXI interface and a network protocol interface is completed, and high-bandwidth and low-delay non-blocking PIO data transmission and processing are realized.

Embodiments of the present disclosure provide a concurrent access control method, a data processing method, a device, a storage medium, and a program product. In the embodiments of the present disclosure, a concurrent access control scheme based on snapshot isolation technology is provided for a database. In the concurrent access control scheme, the concept of two-level timestamps is introduced: system-level timestamps and user-level timestamps; the user-level timestamps are applied to data items in a memory of a database, and concurrent access control is performed in a memory mode on the basis of the user-level timestamps; and the system-level timestamps are applied to data nodes in a persistent storage of the database, and concurrent access control is performed in a kernel mode on the basis of the system-level timestamps. In the embodiments of the present disclosure, the integration of the dual-level timestamps with the snapshot isolation technology can simplify the implementation of concurrent access control on the basis of the dual-level timestamps while the advantages of the snapshot isolation technology are exerted, and concurrent access control can be realized in both the memory mode and the kernel mode, thereby improving the concurrency performance of databases.

The present application provides a data processing method for a communication network, an electronic device, and a storage medium. The method comprises: splitting a communication network into a plurality of sub-networks; configuring a simulation verification model of at least one metric dimension for each sub-network, and on the basis of the plurality of sub-networks, obtaining a digital twin network corresponding to the communication network; and for a target configuration parameter of the communication network to be verified, performing simulation verification on the communication network by means of the digital twin network.

The invention particularly relates to a distributed time series data cross-node atomic writing and transaction management method. According to the distributed time series data cross-node atomic writing and transaction management method, a coordination node receives a time series writing request, generates a unique TID and issues the unique TID; the storage node writes the data into a pre-write log WAL, marks the data as pending, and establishes mapping between the TID and log entries; the cooperative node sends a pre-submission instruction, and the node responds after being ready; and if verification is passed, broadcasting submission is carried out, a formal storage update version is written, otherwise, rollback is carried out, operation is cancelled according to WAL, and finally associated logs and states are cleared. According to the distributed time series data cross-node atomic write-in and transaction management method, end-to-end atomicity, consistency, low delay and rapid recovery of cross-node time series data write-in are achieved, a write-in path only needs one-time WAL write-in, synchronous blocking is avoided, and the concurrent throughput performance is remarkably improved; and the scheme does not invade an upper-layer application interface, and can be reused in any distributed storage system supporting the WAL.

Techniques are described with regard to container image configuration in a computing environment. An associated computer-implemented method includes initializing a container image storage engine associated with a logical tree structure having a plurality of container image nodes, where each of the plurality of container image nodes includes a hash layer array and a hash data array. The method includes building at least one new container image node to incorporate into the plurality of container image nodes. The method further includes applying a software patch to a target container image node among the plurality of container image nodes. In an embodiment, the method further includes starting at least one container based upon a respective container image node among the plurality of container image nodes.

The invention relates to a register management method and device, electronic equipment and a storage medium. The method comprises the following steps: allocating a shared on-chip storage space for registers of a plurality of processing units in processing equipment; setting a write-in mark corresponding to the register of each processing unit in an array of the processing equipment; in response to execution of the first command, reading register data of the target register from the off-chip storage space, storing the register data in the on-chip storage space, and setting a write-in mark corresponding to the target register in the array to be valid; and in response to execution of the second command, determining an effective target write-in mark from the array, reading register data corresponding to the target write-in mark from the on-chip storage space, and writing the register data into a target register of the processing unit indicated by the target write-in mark. The embodiment of the invention can improve the operation efficiency of the processing equipment.

The invention relates to the technical field of cloud computing, and discloses a multi-cloud certificate deployment intelligent arrangement engine system, which comprises a unified abstraction layer used for providing a standardized certificate deployment interface; the intelligent arrangement engine is used for analyzing a deployment task dependency relationship and generating an optimal deployment path; the distributed transaction management module is used for coordinating deployment transactions of the cross-cloud platform and ensuring the consistency of operation; and the strategy optimization and learning module is used for optimizing the deployment strategy based on the historical deployment data. According to the method, the cloud platform difference is shielded through the unified abstraction layer, the consistent deployment experience is provided, and the adaptation workload in the multi-cloud environment can be remarkably reduced; the deployment path is optimized through the intelligent arrangement engine, so that the deployment time can be remarkably shortened; through distributed transaction management, transaction consistency of cross-cloud deployment is ensured, and strong fault recovery capability is provided. Through multi-objective optimization and online learning, the system can automatically balance the cost, the performance and the reliability, so that the resource utilization rate is greatly improved.

The embodiment of the invention provides a session processing method and device based on a large model, electronic equipment and a storage medium, and the method comprises the steps: obtaining a problem session instruction inputted by a user, and the problem session instruction at least comprises a target session identifier; according to pre-stored historical storage information, target historical information corresponding to the target session identifier is determined, and the historical storage information at least comprises the session identifier and historical information corresponding to the session identifier; determining input information corresponding to the target session identifier according to the target session identifier and the target historical information; the input information is input into the session processing model to obtain the answer corresponding to the question session instruction, and the session processing model is obtained by training a large model through sample data, so that historical information can be comprehensively considered, more accurate answer information can be provided, errors are reduced, and development efficiency is improved.

The present invention provides a transaction log parsing method for a database and a related product, wherein the transaction log parsing method for a database comprises: starting a log parsing program; in response to the log parsing program being repeatedly started, obtaining breakpoint information of a transaction log; the log parsing program parses the transaction log starting from a redo sequence number, and selectively parses the transaction log between the redo sequence number and the end sequence number of a committed transaction during the parsing process. The transaction log parsing method for a database of the present invention enables the log parsing program to skip at least part of the transaction logs that are repeatedly parsed, thereby improving the parsing efficiency of the log parsing program, so as to ensure that the database can quickly recover data, save the computing power of the database, ensure data consistency, and ensure the performance of the database.

The invention discloses a NiFi-based multi-model data processing method and device, equipment and a medium, and relates to the technical field of data processing, and the method comprises the steps: configuring connection configuration information of a native multi-model database through a preset control service of NiFi, and building a connection relation between the NiFi and the native multi-model database based on the connection configuration information; reading target data from the native multi-model database based on the connection relationship, a set name of a data set configured in the NiFi in advance and a query language of the native multi-model database, and performing incremental extraction on the target data by using incremental information configured in the NiFi in advance; and writing the obtained extracted data into a corresponding preset database based on a preset data writing mode, judging whether the writing operation is successful or not based on the started transaction mechanism in the writing process, and if the writing operation is not successful, triggering a transaction rollback mechanism until the writing operation is successful. The complexity and the cost of data management are reduced.