8results about How to "Reduce synchronization overhead" patented technology

The invention discloses an ARM (Advanced RISC Machines) many-core-oriented x86 instruction conversion data synchronization optimization method, which comprises the following steps of: when a multi-thread executable file is executed in a dynamic instruction conversion mode, constructing a data synchronization optimization module in an ARM many-core system, inserting a synchronization instruction by a program flow analysis unit according to a program flow analysis result, and executing the multi-thread executable file according to the synchronization instruction. A data synchronization window manager inserts a synchronization instruction for a function and a related shared data instruction according to data synchronization related function execution time, and a synchronization instruction combination optimization unit combines the inserted synchronization instruction to realize data synchronization and optimization of an ARM instruction sequence obtained by conversion. According to the method, the performance and the efficiency of data synchronization of the x86 program in the ARM many-core system are improved, the synchronization overhead is reduced, the correctness of program execution and the data consistency are ensured, and an innovative solution is provided for efficient operation of a cross-architecture program.

The invention relates to a page data binding method and system in a low-code environment. The method comprises the steps that a page comprises one or more components arranged according to a page layout mode; the component set is bound based on one or more of the data binding mode and the data source set; determining an access change condition of the page to the data source based on the page historical access data; and updating a page data binding mode based on the access change condition. According to the method, the refresh frequency is dynamically updated based on the dynamic change condition of the data source and the access condition of the page to the data source, the data source is actively updated, the change condition of data source access is monitored and predicted in real time based on the data source, the adaptive change of the storage space is performed in advance, and the access efficiency is improved.

The invention relates to the technical field of communication network system simulation, and provides a distributed simulation method and system based on satellite-ground communication, a medium and electronic equipment. The distributed simulation method comprises the following steps: a pre-allocation step: allocating a plurality of satellites to be simulated to a plurality of logic processes, and maintaining a simulation model of at least one satellite in each logic process; in each logic process, pre-creating and maintaining a preset number of terminal simulation resources for each satellite; a simulation operation and switching step: when it is monitored that the terminal needs to be switched from a source logic process where the current satellite is located to a target logic process where a target satellite is located, the source logic process extracts simulation context information of the terminal and sends the simulation context information to the target logic process; and the target logic process selects idle terminal simulation resources from the terminal simulation resources, loads the simulation context information and activates the simulation context information. Through the setting, the problem of high overhead of cross-logic process communication is effectively solved, and the simulation efficiency is improved.

The invention discloses a large model distributed training method and system based on all-in-one machine hybrid cloud, and relates to the technical field of resource management. A hybrid cloud training architecture and secure communication are established between a local all-in-one machine cluster and a public cloud elastic cluster; dividing training data according to sensitivity, and realizing local storage of core sensitive data and cloud side storage of non-sensitive data; dividing the training task into a core task and an extension task, and scheduling the core task and the extension task to a local training node and a cloud side training node for execution; monitoring local resource load and task progress, and elastically applying and releasing cloud side training nodes according to training stages; and limiting cross-domain transmission as necessary information, updating model parameters through gradient aggregation, and synchronously entering the next iteration. Through the technical scheme of the invention, on the premise of ensuring that sensitive data is not out of a domain, on-demand expansion and recovery of cloud side computing power are realized, cross-domain communication overhead is reduced, distributed training throughput and stability are improved, a training period is shortened, and comprehensive cost is reduced.

The application discloses a heterogeneous parallel material removal calculation method and system. The method comprises the following steps: constructing a heterogeneous parallel calculation environment comprising at least a first processing unit and a second processing unit, wherein at least one processing unit supports data parallel execution for a large number of discrete elements; constructing a discrete representation of a workpiece, and generating state data for representing a material state based on the discrete representation of the workpiece; generating space constraint information based on tool geometric parameters, relative motion information of the tool and the workpiece, and the state data; decomposing material removal simulation calculation into a preprocessing task and a relationship evaluation task; mapping at least two calculation tasks to the first processing unit and the second processing unit for execution, so that the first processing unit and the second processing unit concurrently or flow water overlap execute in at least part of a time period; updating the material state based on the space relationship quantity and calculating the material removal quantity, and iterating until the trajectory is completed. Therefore, the calculation efficiency is significantly improved, and the real-time simulation requirement is met.

The invention relates to an enhanced time synchronization method for a 5G-Advanced / 6G network, and belongs to the technical field of wireless communication. According to the method, clock frequency offset estimation is carried out through data frame interaction between the gNB and the UE, and an improved SIB9 signaling is adopted to transmit a synchronization parameter. In the method, a gNB presets waiting time for UE to return an acknowledgement frame through DCI signaling; and after receiving the downlink data frame sent by the gNB, the UE replies an acknowledgement frame to the gNB after waiting for a preset time interval. And after multiple data frame interactions, the gNB estimates the clock frequency offset of the UE relative to the gNB by adopting a maximum likelihood estimation method. The gNB sends the estimated clock frequency offset parameter to the UE by using an improved SIB9 signaling frame; and after the UE receives the SIB9 signaling frame, the synchronization parameter is analyzed, and time synchronization is completed. According to the invention, the synchronization overhead of the mobile communication system is effectively reduced, and the air interface synchronization precision is improved.

The invention discloses a data planning system based on a multi-node distributed real-time topological algorithm, which relates to the technical field of data processing and comprises a node management module, a data distribution module, a real-time topological algorithm module, a data processing module and a result summarization module. The node management module is used for managing registration, state monitoring and fault detection and recovery of all nodes; the data distribution module is used for distributing the data to the corresponding processing nodes according to the optimal distribution strategy provided by the real-time topological algorithm module; the real-time topological algorithm module is used for calculating and maintaining an optimal processing path of data and dynamically adjusting a data flow direction according to data characteristics and node capability; the data processing module is used for executing a data processing task; and the result summarizing module is used for acquiring and summarizing the processing results of the nodes. According to the invention, a time-staggered topology updating mechanism is provided, so that resource conflicts caused by simultaneous updating are reduced.

The present invention relates to a method and system for binding page data in a low-code environment, the method comprising: a page includes one or more components arranged in a page layout mode; a component set is bound based on a data binding mode and one or more of a data source set; a page's access changes to a data source are determined based on historical page access data; and a page data binding mode is updated based on access changes. The present invention dynamically updates the refresh frequency based on the dynamic changes in the data source and the page's access to the data source, actively updates the data source, predicts changes in data source access based on real-time monitoring of the data source, and adaptively changes the storage space in advance to improve access efficiency.