10results about How to "Improve Parallel Processing Efficiency" patented technology

The invention relates to the technical field of processors of RISC-V architecture, and relates to a GPU-based RISC-V instruction set optimization method and device, and a medium. The method comprises the steps that an RISC-V instruction set is expanded, and a calculation instruction capable of accessing a memory is added; in an assembly programming stage, directly loading data from a memory in a calculation instruction; in a high-level programming language programming stage, through an inline assembly mode, an optimization instruction is packaged into an inline function, and a high-level language interface is provided for high-level language programming; and performing register allocation strategy optimization in the compiler, balancing the use frequency of the general register, and supporting and optimizing the inline function. According to the method, the performance of the RISC-V architecture GPU in processing complex computing tasks is remarkably improved. According to the optimization, the step of loading unnecessary data into the general register is reduced, so that the register competition is reduced, and the parallel processing efficiency is improved.

The invention discloses a dynamic reconstruction method of a two-dimensional memory access controller, which belongs to the technical field of memory access controllers, and specifically comprises the following steps of: extracting the parallelism degree and the operation characteristic of a matrix algorithm, determining the partitioning mode of a storage module according to the parallelism degree and the operation characteristic, and storing matrix source data in a partitioning manner; based on the degree of parallelism, the number of enabled source data channels is determined, and efficient transmission of data from storage to calculation is achieved; according to the degree of parallelism and the operation characteristics, matrix source data are moved from the storage module to the calculation module through the source data channel, and matrix operation is executed; after the operation is finished, determining the number of enabled result data channels according to the degree of parallelism and a result, and transmitting the result back to the storage module; the configuration of each module is dynamically adjusted according to an algorithm and operation requirements, and the flexibility and efficiency of matrix operation are improved.

The invention discloses an integrated positioning method based on spatial spectrum estimation and map matching, and provides a two-stage communication sensing integrated positioning method based on spatial spectrum estimation and map matching to construct a communication sensing integrated cellular system model based on orthogonal frequency division multiplexing. The devices in the system can send and receive communication signal waveforms at the same time so as to complete single-target device positioning. In particular, it is considered that an orthogonal frequency division multiplexing scheme is used for communication signal transmission, and thus the result is compatible with 5G and later cellular networks. In this arrangement, a two-stage positioning frame is proposed. In the first stage, the parallelism, global optimization and simplicity of a genetic algorithm are utilized, a traditional multi-signal classification algorithm is improved, and finally joint estimation of the distance, the direction of arrival (AOA) and the pitch angle of arrival (EOA) of a target is achieved.

The invention relates to the technical field of data processing, in particular to a multi-dimensional data processing method and device, equipment and a medium, which are used for performing instantiation processing on a template according to an input tensor parameter to obtain an offset calculation instance. And performing initialization operation on the offset calculation instance to determine the step length and the shape of each input array on each output dimension, and recording the step length and the shape in a set storage space. And starting an offset calculation instance to carry out index calculation on the step length and the shape of each input array recorded in the storage space on each output dimension so as to obtain the offset corresponding to the output array. And calculating the data corresponding to the offset according to a set calculation rule to obtain an output result. By pre-calculating the step length and shape of each input array on each output dimension, unnecessary memory access can be reduced. The index calculation process is simplified by constructing the offset calculation instance, and data access and calculation can be efficiently and accurately achieved.

The present invention discloses an intelligent control method for the process of disassembling and assembling locks, which can make the disassembling and releasing of locks and the guiding of container trucks be executed synchronously, optimize the process of disassembling and assembling locks of a locking button machine, greatly shorten the time of a single task, and improve the parallel processing efficiency of disassembling and assembling operations. The container truck of the previous task can be guided when the container truck of the previous task has not completely left the locking button machine, thus saving the waiting time between tasks, being able to distinguish abnormalities according to their actual states, reducing the abnormalities that need to be handled manually, and calculating the positions of the four corner points of the container at the same time before the container truck guiding task is completed, and using the calculated position data as the reference position when the visual perception system of the disassembling and assembling unit locates the lock button, thus avoiding disassembling and assembling abnormalities caused by wrong photographing position.

The invention relates to the technical field of seismic interpretation, and discloses a seismic interpretation method and device based on a parallel processing framework, and electronic equipment. The method comprises the following steps: transmitting configuration parameters of a seismic interpretation module; constructing a data reading buffer, and adopting a full-time window data reading buffer; when the data is read and buffered, the seismic interpretation module is executed in parallel to perform seismic interpretation calculation; and submitting a processing result of the seismic interpretation module. According to the device, an introduction module is used for introducing configuration parameters of a seismic interpretation module; the construction module is used for constructing a data reading buffer; and the calculation module is used for parallel seismic interpretation calculation. According to the technical scheme of the invention, a universal parallel processing framework is realized to bear each seismic interpretation module, the expandability is high, and the software design efficiency is higher; a typical producer-consumer mode calculation framework is realized, and the calculation efficiency is improved. The spelling algorithm thread is realized, and the parallel processing efficiency is improved.

The invention relates to the technical field of modeling systems, and discloses a portable cluster three-dimensional rapid modeling system and method, and the system comprises an integrated case unit which is internally integrated with a main computing node and a sub computing node; the power supply and power management module is used for monitoring the load of each computing node in real time and dynamically adjusting power supply; a KVM switching table in the man-machine interaction module is used for supporting a user to switch among a plurality of computing nodes through a keyboard or a mouse; the scheduling and modeling module is used for performing three-dimensional modeling on the target area according to the image data; and the environment adaptation module is used for carrying out real-time monitoring and intelligent regulation and control on the internal environment temperature and humidity of the integrated case unit. According to the method, rapid generation and result export of the three-dimensional model of the target area are realized through a closed-loop process of data acquisition by the unmanned aerial vehicle, cluster node parallel calculation and local aggregation optimization.

The embodiment of the invention provides a packaging structure of a multi-stack high-bandwidth memory and a data communication method. The packaging structure comprises a multi-layer internet, at least two high-bandwidth memory stacks and a path selection control unit matched with each high-bandwidth memory stack, the multi-layer internet is arranged between the at least two high-bandwidth memory stacks, and the path selection control unit is connected with the multi-layer internet; each high-bandwidth memory stack comprises a plurality of DRAM (Dynamic Random Access Memory) bare chips and a bottom logic bare chip which are vertically stacked; the multi-layer internet network comprises at least two transverse interconnection communication paths and is used for realizing data communication between the at least two high-bandwidth memory stacks; and the path selection control unit is configured to respond to a cross-stack target data access request, and select one target path from the at least two transverse interconnection communication paths according to a preset selection strategy to carry out target data transmission. By utilizing the packaging structure disclosed by the invention, the memory access flexibility and the parallel processing efficiency can be remarkably improved.

The present application relates to the technical field of real-time response to massive high-concurrency data in the Internet of Things, and specifically to a real-time response method, device and medium for massive high-concurrency data in the Internet of Things, the method comprising: determining the data queuing rate of each server at the current moment based on the extreme distribution of all class static attributes in each server and the data volume of each process; determining the type adaptability of the waiting data task at the current moment under each server based on the data volume of the waiting data task at the current moment, all class static attributes of each server, and the task type characteristics and the process type characteristics, and responding to the waiting data task at the current moment in combination with the data queuing rate. The present application aims to reasonably allocate tasks to servers with corresponding hardware resources and improve the response speed of the server to massive concurrent data.

This invention relates to a distributed balanced scanning system and method for additive manufacturing, belonging to the field of additive manufacturing technology. The method includes: acquiring data information of the part to be processed, including data information of multiple slice layers; processing the data information to obtain initial graphic partition data; adjusting the initial graphic partition data, provided that the initial graphic partition data meets adjustment conditions, to obtain first target graphic partition data; re-estimating the total scanning time of each laser based on the first target graphic partition data, until the time difference between the total scanning times of the lasers is less than a time threshold or the number of iterations reaches a preset number, and obtaining second target graphic partition data; and allocating the second target graphic partition data to each laser for scanning and printing. This method achieves precise balancing of scanning time among multiple lasers, avoiding waiting and efficiency losses caused by uneven load, and significantly improving parallel processing efficiency.