28results about How to "Implement parallel processing" patented technology

The invention discloses a vector processing device, a chip, electronic equipment and a method, and belongs to the technical field of chips. The vector processing device comprises an instruction buffer, a vector decoding unit, a register unit and a plurality of pipelines, the instruction buffer is used for storing instruction packets to be executed, and each instruction packet comprises a plurality of vector instructions which can be executed in parallel; the vector decoding unit is used for decoding each vector instruction included in the instruction packet to obtain a control signal corresponding to each vector instruction, and broadcasting the control signal corresponding to each vector instruction to the register unit and the plurality of assembly lines in a clock period; a register unit to store data related to the vector instruction; and the assembly line is used for processing data related to the vector instruction according to the control signal corresponding to the vector instruction to obtain a processing result corresponding to the vector instruction. By processing a plurality of vector instructions in one clock period, the processing efficiency of the vector instructions can be remarkably improved.

The invention relates to the technical field of molecular dynamics, in particular to a molecular system simulation method and system, computer equipment and a storage medium. The molecular system simulation method at least comprises the steps that virtual site information of virtual sites in a molecular system is calculated in parallel based on all calculation units, and the virtual site information and charge information of the virtual sites are updated to a virtual site information table in a storage unit; calculating the atomic information of each atom in the molecular system in parallel based on each calculation unit; updating the virtual site information of each virtual site based on the obtained atomic information to obtain new virtual site information; distributing the obtained new virtual site information to each atom to obtain new atom information of each atom; and carrying out constraint processing on the boundary of the dynamic system where the molecular system is located based on the new atomic information, and outputting integrated data of the dynamic system. The invention provides a molecular system simulation method with higher efficiency for a large-scale system.

The invention relates to a parallelization fast label multi-Bernoulli filtering method under a phased array radar system, and belongs to the field of radar target tracking. Comprising the following steps: acquiring a measurement set of a radar, and dividing the measurement set by adopting a mean shift algorithm; performing trace point condensation on the divided measurement set; carrying out parallel joint prediction and updating based on the measurement set after trace point condensation, wherein the parallel joint prediction and updating comprises LMB state transition, target and measurement grouping, parallel processing on grouping results, and merging posterior density of each group; after parallel joint prediction and updating, trimming and truncating an LMB parameter set; and estimating a target number and a state based on the trimmed and truncated LMB parameter set. According to the method, the target and the measurement are grouped, so that the parallelization processing of the FLMB filter is realized, the calculation amount can be effectively reduced under the condition that the tracking performance loss is not large, the real-time performance is improved, and the target detection speed and precision are improved.

The embodiment of the invention provides a mass data processing method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a plurality of pieces of first data information to be processed and an identification number corresponding to each piece of first data information; according to a preset queue state in a blocking queue, sequentially adding identification numbers corresponding to the first data information into the blocking queue, and updating the queue state; according to the queue sequence of the blocking queues, pushing identification numbers to message queues of preset message middleware in sequence, and updating the blocking queues and queue states; converting the first data information corresponding to the identification number into second data information according to the identification number in the message queue; and pushing the plurality of pieces of second data information and the corresponding identification numbers to a task thread pool for task allocation and processing. According to the embodiment of the invention, task division can be coordinated through the message middleware, parallel processing of mass data is realized, the processing efficiency is improved, and the method is simple to use and convenient to expand.

The invention relates to the technical field of integrated energy system control, in particular to an integrated energy system monitoring control method and an operation system, data is collected in real time, data preprocessing is carried out, a distributed computing architecture is utilized, data collection tasks are dispersed to a plurality of computing nodes, and a memory carries out classified storage on the data; the database server analyzes and processes the data, and establishes and optimizes an economic operation mode optimization model SOM and a safe operation mode optimization model EOM; and the optimized control scheme model parameters are fed back to a control end in real time, the scheme parameters are analyzed and calibrated and fed back to a processor, and the processor issues a detailed operation parameter command to the energy consumption equipment, so that the energy consumption equipment adjusts the operation parameters to achieve an optimized operation state. And the data processing capability, the communication reliability and the data storage and management efficiency of the system are improved, so that the efficient, stable and optimized operation of the comprehensive energy system is ensured.

The invention belongs to the technical field of data processing, and particularly relates to a batch data processing system and method, and the method comprises the steps: obtaining and analyzing a data file of a single-batch task, and obtaining a single-batch task ID, a single-batch task state and a packaging object; writing the single-batch task ID and the single-batch task state into a result database, and writing the packaging object into a cache database; obtaining data in the packaging object, the concurrent verification packaging object and the parallel-serial combined verification packaging object, and obtaining a to-be-stored packaging object, successfully verified data and unsuccessfully verified data; writing the to-be-stored packaging object, the successfully verified data and the unsuccessfully verified data into a cache database; and obtaining and removing the to-be-stored packaged object, writing data in the to-be-stored packaged object into the result database, and modifying the state of the single-batch task into an end state. Based on a distributed architecture of a scheduling cluster, a verification processing cluster and a data submission cluster, parallel processing of multi-task and multi-type data is realized.

The invention provides a dual-binary turbo code processing method and electronic hardware. The method comprises the following steps: acquiring processing data; determining a processing module according to the length of the processing data; wherein the processing module uniquely corresponds to one storage unit; and performing multi-round parallel processing on the processing data based on the DVB-RCS2 standard through the determined processing module. According to the method, a processing module is determined according to the length of processing data; wherein the processing module uniquely corresponds to one storage unit; through the determined processing module, multi-round parallel processing is performed on the processing data based on the DVB-RCS2 standard, parallel processing of the processing data is realized, the processing time is reduced, and the processing efficiency is improved.

The application discloses a kind of based on LM-OTS public-private key pair generation, signature, verification method and device, it is related to information security technical field, the public-private key pair generation method includes the following steps: step S101, in response to public-private key pair generation instruction, obtain private key, the private key includes multiple private key components;Step S102, multiple private key components are divided into first group private key component and second group private key component, utilize different hash calculation unit to first group private key component and second group private key component Parallel Hashing Calculation is carried out, obtains corresponding multiple public key components, and multiple public key components obtained by parallel Hashing Calculation are carried out Hashing Calculation again to obtain public key.The application utilizes different hash calculation unit to carry out parallel Hashing Calculation to two groups of private key components, realizes the parallelization processing of key generation process, significantly reduces the time consumed by Hashing Calculation, greatly optimizes the generation efficiency of public-private key pair.

The application discloses a kind of mobile data center data storage methods based on chain structure.The steps of the method include: ① for each server of mobile data center, construct server chain, for storing the data and copy generated in the physical area where the server is located and parallelly executing the data processing task of the server;② store the original data and copy generated by the server on the corresponding server chain, and store the data fragments to the adjacent servers of server chain after being sharded;③ if a certain data fragment on the server is invalid, different ways are used to quickly recover historical data or task data;④ if a certain server is invalid, recover all data stored on it to other servers, and migrate the data processing task on it to other servers to continue execution, and try to reduce the impact of task migration on task execution time.The application can significantly improve the data storage security and data processing performance of mobile data center.

The invention discloses a method, device and equipment for expanding network card equipment based on a switch chip and a medium, and relates to the technical field of communication, and the method comprises the steps: obtaining a first message, determining a first port of the first message, finding a label corresponding to the first port, marking a first target label on the first message, obtaining a second message, and sending the second message to the switch chip; then, the second message is transmitted to the switching equipment through a physical interface, the switching equipment identifies a first target label in the second message, and a first target port corresponding to the first target label in the second message is determined according to a first corresponding relation between a pre-configured reference label and a reference port; and stripping the first target label in the second message to obtain a first message, and forwarding the first message through the first target port. According to the method, the number of MAC is increased by expanding the network card interface in a software matching mode, parallel processing of various data is achieved, and then the cost is reduced.

The present application relates to the technical fields of oil exploitation downhole separation equipment, and particularly relates to a parallel type gravity oil-water separation unit, characterized by comprising gravity separation modules arranged in a stack, a liquid inlet distribution module is vertically inserted and arranged in the central part of the gravity separation module, the liquid inlet distribution module is arranged in the lifting sleeve, and the gravity separation module, the liquid inlet distribution module and the lifting sleeve are detachably connected through standardized interfaces. The present application combines multiple parallel gravity separation modules with a unique inclined guide plate group in the module, which greatly improves the oil-water separation efficiency, effectively prolongs the flow path and residence time of the oil-water mixture, and creates sufficient conditions for gravity stratification based on density difference. Compared with the traditional series type single-cavity separation device, the design makes the oil-water separation more thorough, and the oil content in the separated water can be less than 20 mg / L, and the separation efficiency is improved by orders of magnitude.

The invention relates to a DPU-based multi-queue fragmented message recombination method and device, equipment and a medium. The multi-queue fragmented message recombination method based on the DPU comprises the following steps: receiving a network data stream, the network data stream comprising fragmented data packets; copying the fragmented data packets to each recombination queue through a hardware layer; performing recombination processing on the fragmented data packets in the recombination queue through a software layer to obtain corresponding original data packets; and sending the original data packet to a transmission layer. According to the embodiment of the invention, the processing efficiency can be improved, and the processing time delay is reduced.

The present invention discloses a method and system for sequentially processing multi-threaded data in frequency regulation control, which relates to the field of integrated automation technology of plant stations, including starting multiple threads to receive data from different data sources, defining data verification standards, and designing a data anomaly analysis mechanism to determine whether the data is normal data, creating a distributed data control entity, and initializing it, using a full check function to determine whether the data storage area is currently full, and inputting normal data into the data storage area, setting a monitoring thread, checking the state of a mutex, using a null check function to check the state of the data storage area, and processing the input normal data, and releasing the storage space occupied by the data unit after processing. The present invention solves the problem that a multi-threaded processor switches between threads once per clock cycle when processing a problem, so that the instruction execution processes of multiple threads are intertwined.

The application relates to the technical field of semiconductors, in particular to a semiconductor device performance parameter automatic detection method, which comprises the following steps: obtaining an initial detection working interval of a semiconductor device; performing initial random sampling in the initial detection working interval to obtain an initial sampling point set; performing fitting processing on the initial sampling point set by using a Gaussian process regression algorithm to construct a proxy model; and performing analysis processing on the proxy model by using a batch Bayesian optimization algorithm. The asynchronous hardware pipeline capability of a source measurement unit is utilized to perform high-speed parallel sampling, the communication overhead between an upper computer and an instrument is reduced, parallel processing of calculation and measurement tasks is realized, and physical test time consumption is compressed. In this way, the accurate performance parameters can be quickly and safely converged by using far fewer measurement points than in a traditional scanning mode, so that the test efficiency and safety are improved under the premise of ensuring the accuracy.

The application discloses a BMCA implementation method of a gPTP protocol based on FPGA, and relates to the technical field of high-precision time synchronization and network communication. In view of the problems of large software BMCA processing delay, slow multi-port convergence and excessively high logic complexity of complete hardware implementation, the application provides a simplified BMCA hardware acceleration method: core priority vector comparison logic is extracted, an independent comparison module and a timeout timer are instantiated for each port in the FPGA; an event-driven mechanism is adopted, real-time iterative updating is triggered as soon as an Announce message is received; local best master clock is automatically announced when power is turned on or a link is timed out; a global arbitrator adopts a multi-stage pipeline tree-shaped comparator, and parameters of each port are compared in parallel, so that the role of the port is quickly determined. The application greatly reduces the convergence time and CPU load under the premise of ensuring the correctness of the election, and plays the parallel processing advantage of FPGA.

The invention discloses a method and device for lens extrusion molding, which relates to the technical field of automated eyeglass manufacturing devices, solves the stress problem generated by a conventional lens injection molding process, and greatly shortens the production cycle of the overall lens molding process. The method and device include: a main frame, an extruder, a quantitative mechanism, a material receiving mechanism, a first turntable mechanism, a mold feeding mechanism, a second turntable mechanism, a compression molding mechanism, and a finished product unloading mechanism. The method and device use a quantitative mechanism to measure, so that the extruder can perform precise cutting and unloading in the process of uniform material discharge; the quantitative compression molding of the lens is achieved by setting a compression molding mechanism, wherein the internal stress of the lens is eliminated during the molding process through the cooperation of a heating and temperature regulating module, and the periodic lens molding production under the continuous operation of the extruder is achieved through a multi-die seat turntable structure and a multi-die seat assembly line operation, thereby greatly improving the production efficiency.

The embodiment of the invention discloses a task scheduling device integrated in a power distribution operation and maintenance system. The device comprises a test execution unit used for obtaining test tasks and creating task execution processes for the test tasks respectively; the test execution unit is further used for sending the test tasks to the corresponding task execution processes respectively, so that the task execution processes generate test cases according to the received test tasks and send the test cases to the parallel communication module; the parallel communication module is used for sending the received test case to an idle tester in an idle state in the plurality of testers and receiving a test result returned by the idle tester; and the test execution unit is also used for obtaining the test result from the parallel communication module by scheduling a task execution process corresponding to the test result so as to perform operation and maintenance work of the power distribution system based on the test result. According to the technical scheme, normal use of the power distribution system can be guaranteed in the operation and maintenance process of the power distribution system.

The present invention provides a distributed tax data processing method and system. The present invention sets a plurality of nodes in a tax data processing system, wherein each node has independent data storage and processing capabilities; stores tax data in different nodes in a distributed manner to achieve distributed data storage; determines the communication rules used by each node; determines data processing rules and control rules based on the communication rules used by each node; optimizes each node based on the data processing rules and control rules to perform data analysis on large-scale tax data to efficiently process and analyze large-scale tax data. By adopting the distributed tax data processing method and system, the distributed system can store data in a distributed manner on multiple nodes, realize parallel processing of data, and improve data processing efficiency.

The invention discloses a vector information sensing system and method, and the system comprises at least one group of sensing units, the output end of each group of sensing units is sequentially connected with a group of storage units and a group of calculation units, and each sensing unit comprises a scalar signal distribution input end, a horizontal vector output end and a vertical vector output end. The storage unit comprises a horizontal vector information storage subunit and a vertical vector information storage subunit which are respectively used for carrying out in-situ storage on horizontal vector signals and vertical vector signals to form two storage states, and the calculation unit comprises a horizontal vector information processing subunit and a vertical vector information processing subunit which are respectively used for carrying out in-situ storage on the horizontal vector signals and the vertical vector signals to form two storage states. The storage states of the horizontal vector signal and the vertical vector signal are respectively subjected to weighted calculation and summarized at an output end to obtain a calculation result, and the calculation result is used for classification or discrimination. According to the method, the problems of low calculation efficiency, high data redundancy and the like in the processing process of distribution of scalar signals such as images and the like are solved on the hardware level.

This invention provides a method and related products for converting payload files in heterogeneous databases. The method includes: in response to a conversion command, obtaining a payload file from the heterogeneous database; parsing the payload file to obtain a parsing result; obtaining an ordered index list corresponding to a target file in a local database, the target file being used to store the converted payload file; determining the target file to be written based on the ordered index list; converting the parsing result to obtain a conversion result recognizable by the local database; and writing the conversion result to the target file. This method enables the conversion of payload files between heterogeneous databases, thereby supporting further processing of payload files by domestic databases.

The invention provides a media stream transmission method and system between SFU servers, an electronic device and a storage medium. Establishing a signaling connection with a first WebRtc client through a first signaling node, and starting a first media node; the first media node establishes a first producer based on the WebRtc transmission layer, and obtains media data of the first WebRtc client according to the first producer; the first signaling node sends a pipeline transmission layer creation request to a second signaling node, and the second signaling node sends a pipeline channel creation request to a second media node; the second media node creates a pipeline transmission channel connected with the first signaling node; and the first media node sends the media data to the second media node through the pipeline transmission channel, and the second media node sends the received media data to the second WebRtc client. A producer-consumer mode is adopted to realize parallel processing of media data without mutual interference; and meanwhile, production and consumption processes can be asynchronously carried out without waiting, so that efficient media stream transmission is realized.

The embodiment of the invention provides a method and system for parallel processing of transaction layer messages and a storage medium, which are used for improving the processing efficiency of the transaction layer messages and avoiding the situation of system hanging, and the method comprises the following steps: creating n memory space queues; n is a positive integer greater than or equal to 2; each memory space queue in the n memory space queues is used for storing transaction layer messages of different message types; when a transaction layer message is received, storing the transaction layer message in a target memory space queue; the message type of the transaction layer message stored in the target memory space queue comprises the message type of the received transaction layer message; and processing the transaction layer messages in the n memory space queues in parallel.

The invention discloses a secondary equipment debugging method, system and equipment, a storage medium and a product, and the system comprises at least one switching value switching board card which is used for controlling a switching value switching loop to work according to an interval switching control instruction, and testing secondary equipment in each test interval in sequence; a plurality of spaced secondary devices are connected with ports used for interacting switching value signals through at least two independent hard wiring cables to form a redundant hard wiring structure; a communication diagnosis module is arranged in the secondary equipment, and the communication diagnosis module monitors a switching value signal transmitted by the hard wiring cable in real time; and when the communication diagnosis module detects that the switching value signal transmitted by one hard wiring cable is abnormal, the other hard wiring cable is automatically switched to carry out signal transmission, and a fault alarm signal is sent out.

The present invention belongs to the technical field of text recognition, and specifically relates to a Tibetan recognition method in a natural scene based on baseline positioning and sequence modeling. The present invention includes: 1) constructing a Tibetan image data set in a natural scene and annotating it; 2) expanding the data set and preprocessing the data set image; 3) constructing a baseline detector to locate the baseline position of the Tibetan text; 4) constructing a feature extractor to obtain the sequence feature representation of the horizontal and vertical text images using different feature extraction methods; 5) constructing a TCN-based sequence modeling network to model the sequence relationship; 6) constructing a CTC transcription module to send the output features representing the sequence relationship into the transcription layer to obtain the result of Tibetan recognition. Through the above technical solution, the present invention greatly enhances the effectiveness of feature extraction and sequence relationship modeling, improves the parallel processing capability of the sequence, and thus improves the accuracy and efficiency of Tibetan recognition in natural scenes.

The present invention relates to the field of software development, and discloses a method, device, equipment and medium for running a job of a distributed application program, wherein the method comprises: obtaining a program job in a distributed application program, constructing a job calling interface between the program job and a preset resource manager; configuring a resource scheduling logic of the program job in the preset resource manager according to the job calling interface; using a resource scheduling component in the preset resource manager to request a resource allocation component in the preset resource manager for scheduling resources of the program job according to the resource scheduling logic; using a task running component in the preset resource manager to run the program job according to the scheduling resources, monitoring in real time whether the program job has been completed, and obtaining the running result of the program job when the program job has been completed. The present invention can improve the running efficiency of the job of a distributed application program.

The invention relates to the technical field of underwater acoustics and inertial navigation integrated navigation, in particular to a USBL delay compensation method and system based on selection state augmented information filtering, and the method comprises the steps: predicting an information matrix and an information vector at a current moment based on navigation state information vector estimation and a navigation state covariance information matrix at a previous moment; constructing an augmented information matrix of a diagonal structure based on the augmented state vector and obtaining an augmented information vector; and calculating a measurement information matrix and an information vector increment corresponding to each delay measurement, and executing additive updating operation to construct a newly-added wide information matrix and a newly-added wide information vector with delay measurement at the current moment so as to recover the navigation state at the current moment by utilizing a Schur compensation method. According to the method, the Markov characteristics of the navigation system are utilized to construct the augmented information matrix with a block diagonal structure, the sparsity of the matrix is fully mined, and the real-time performance and numerical stability requirements of the underwater navigation system are ensured by utilizing the advantages of information filtering in the aspect of measurement updating.

The invention discloses an electromagnetic transient simulation matrix solving method based on an NUMA (Non Uniform Memory Access) architecture and Shuercomplement, which relates to the technical field of electromagnetic transient simulation, and comprises the following steps: S1, carrying out row and column rearrangement on a sparse dispersion nano matrix of electromagnetic transient simulation through permutation transformation, so that the sparse dispersion nano matrix is in a block diagonal edge adding form, a global solving problem is decoupled into a plurality of independent subdomain elimination problems and a low-latitude Schel complement matrix interface problem; and S2, establishing a mapping model of the computing sub-domain and the CPU physical architecture. According to the electromagnetic transient simulation matrix solving method based on the NUMA architecture and the Shuer complement, through an innovative matrix decomposition and hardware resource optimization strategy, the calculation efficiency of electromagnetic transient simulation is remarkably improved, the weak coupling characteristic of a power network is ingeniously utilized, and the calculation efficiency of the electromagnetic transient simulation is improved. A large-scale sparse matrix is decomposed into a plurality of independent low-dimensional sub-domain matrixes and a low-dimensional Schel complement interface matrix, and parallel processing of calculation tasks is achieved.

The invention discloses a shared resource processing method and device applying distributed locks and electronic equipment, and the method comprises the steps: responding to a received shared resource obtaining request of a request end, and obtaining a target distributed lock corresponding to the shared resource obtaining request from at least one resource segment; and under the condition that the resources in the target resource segment corresponding to the target distributed lock meet the shared resource acquisition request, releasing the target distributed lock of the target resource segment, so that the request end accesses the resources stored in the target resource segment based on the target distributed lock. In the embodiment of the invention, the shared resource is allocated to the at least one resource segment, and each resource segment is configured with the corresponding distributed lock, so that the efficiency of the distributed lock is improved by segmenting the shared resource, parallel processing of a plurality of resource segments is realized, and the concurrent processing capability of the system is improved.