36results about How to "Relieve memory pressure" patented technology

The invention provides an I/O parallel acceleration method and device for an ROMS mode in a regional coupling forecasting system and a computer readable storage medium, and relates to the technical field of the regional coupling forecasting system. The I/O parallel acceleration method comprises the steps: dividing the number of global grids in the x direction and the y direction and the number ofprocesses in the x direction and the y direction; constructing a one-to-one mapping relation between input and output data of each computing process and the integral input and output file, and constructing a mapping relation between the computing processes and I/O process data transmission; reading the file data in parallel by the I/O process and distributing the data to each computing process; and calculating a result by the ROMS, collecting data from each calculation process by the I/O process and storing the data in parallel. In the I/O parallel acceleration method, parallel I/O input and output are designed in the ROMS marine computing mode, and an ROMS bottom layer I/O framework is optimized, and the I/O performance of the ROMS in the marine mode is improved.

The invention discloses a scheduling method for relieving memory pressure in distributed data processing systems. The scheduling method comprises the following steps of: analyzing a memory using law according to characteristics of an operation carried out on a key value pair by a user programming interface, and establishing a memory using model of the user programming interface in a data processing system; speculating memory using models of tasks according to a sequence of calling the programming interface by the tasks; distinguishing different models by utilizing a memory occupation growth rate; and estimating the influence, on memory pressure, of each task according to the memory using model and processing data size of the currently operated task, and hanging up the tasks with high influences until the tasks with low influences are completely executed or the memory pressure is relieved. According to the method, the influences, on the memory pressure, of all the tasks during the operation are monitored and analyzed in rea time in the data processing systems, so that the expandability of service systems is improved.

The invention provides an electrical equipment monitoring method and a monitoring device thereof. The electrical equipment monitoring method comprises the following steps of: initializing; setting parameters; establishing an electrical business analysis model; controlling output power of a fan by grades; acquiring measuring point information of power transformation equipment in real time; and transmitting the acquired measuring point information of the power transformation equipment to a real-time database to be packaged and stored; and transmitting inquiry, accounting, analysis and/or processing operation requests to the electrical equipment monitoring device according to the request of a user; and displaying to the user in real time after visualized processing. The electrical equipment monitoring method is real-time and effective; the equipment is high in integration level and availability, good in expansibility, and stable in system performance, as well as simple and convenient to operate.

The invention discloses a model publishing method. According to the method, a local + distributed storage model release scheme is provided; a complete deep learning model with a large space is segmented into a dense part and a sparse part; the sparse part occupying large space is deployed in the distributed cluster, the dense part occupying small space is deployed in the local computing cluster, and the model dispersion part is dispersedly pulled, so that the occupation of a memory by the model is reduced; the memory pressure of the local computing cluster is relieved when the model is loaded,and the memory consumption of computing nodes is greatly reduced. The invention further provides a model publishing device and equipment and a readable storage medium, which have the above beneficialeffects.

The invention discloses a data storage method and system, and relates to the technical field of computers. The embodiment of the method comprises the following steps: grouping a plurality of servers to obtain a plurality of server groups, and grouping to-be-stored data to obtain a plurality of to-be-stored data groups; determining a storage mapping relationship between the to-be-stored data groups and the server groups, and performing storing according to the storage mapping relationship; determining a first server group and a second server group according to the load value of each server group; determining a first target data stored on the first server group, and determining a second target data stored on the second server group; updating the storage mapping relationship, migrating the first target data to the second server group, and migrating the second target storage data to the first server group. According to the embodiment, the storage pressure can be effectively relieved, and server resources can be saved; meanwhile, the data storage position can be dynamically adjusted, hotspot data and access pressure can be automatically dispersed, and load balancing is achieved.

The invention provides a file system, a file storage method of the file system, a file storage device of the file system and a computer readable medium. In the file storage method of the file system,at least two levels of indexes are used in the file system, a relation between a category of a file to be stored and block information of the file system is stored in a first level of index in the atleast two levels of indexes, and the file storage method of the file system comprises the following operations: obtaining the category according to the category information; Segmenting the file into aplurality of segments; Querying and obtaining block information associated with the category in the first-level index according to the category information; Under the condition that the correspondingblock has no residual space or the size of the residual space is smaller than that of the fragment, inserting a relation between a continuous extension category representing the same category as thecategory of the file and new block information into the first-level index, and storing the fragment in the block when the size of the fragment is greater than or equal to that of the fragment; And storing the relationship between the block information and the information of the file in other indexes except the first-level index in the at least two levels of indexes.

The invention provides a large-volume BIM model data processing and loading method and device, and belongs to the technical field of BIM data processing. The device comprises a data export module; a model data grouping module; a model data export module; a model data lightweight module; model layer manufacturing module. The BIM loading adopts the principle of nearby loading, the scene model closest to the current visual angle can be quickly displayed, and when the number of the models reaches a certain online state, unloading can be automatically performed according to the loading condition.

The invention provides a power equipment monitoring device having the intelligent heat-dissipation function and a monitoring method thereof. The method comprises the steps of initializing, parameter setting, establishing a power service analysis model, hierarchically controlling the output power of a fan at each layer, acquiring the measuring point information of a transformer in real time, sending the information to a real-time database for storage, sending out searching, counting analyzing and/or processing requests to the monitoring device of power equipment according to the requests of users, displaying a result to users in real time after the visualization treatment, and the like. The device is good in real-time performance, effective, high in integration level, good in availability, excellent in scalability, ideal in heat dissipation effect, stable in performance, and simple and convenient in operation.

The invention provides a frame animation caching method, apparatus and equipment, and a computer readable storage medium. The frame animation caching method includes the steps: acquiring the first n frames of images in a frame animation, and loading the first n frames of images into a preset bitmap cache; and successively acquiring other frames of images in the frame animation, and successively loading the other frames of images into the bitmap cache so as to replace the images which have been loaded into the bitmap cache. The frame animation caching method, apparatus and equipment can alleviate the memory pressure of the frame animation, and can avoid the problem of overflow of memory when the frame animation is carried out.

The invention relates to the technical field of picture processing, in particular to a picture loading method and device. The picture loading method comprises the steps: judging whether partitioning loading is needed or not when a loading instruction for a target picture is received; when partitioning loading is needed, obtaining a tile layer; determining a maximum amplification level corresponding to the target picture and setting a tile size corresponding to the tile layer; determining the number of tiles according to the maximum amplification level and the tile size; partitioning the tile layer and the target picture into blocks to obtain each tile and each picture block; and calling a partitioning drawing method, drawing the picture blocks on the tiles in a one-to-one correspondence manner, and loading the tiles of the drawn picture blocks to complete loading of the target picture. By applying the picture loading method provided by the invention, the target picture is partitioned and then drawn on the tile; each tile is loaded in a partitioned manner; the loading of the target picture is completed; the memory pressure is relieved; the memory is prevented from rising violently;and the main thread of the loaded picture is prevented from collapsing.

Embodiments of the invention disclose a real-time positioning method and device applied to automatic driving. The method comprises the steps of obtaining inertia measurement sensor data from an inertia measurement sensor built in a vehicle and recording a time point of obtaining the inertia measurement sensor data; when sensor data except the inertia measurement sensor data is obtained at the timepoint, positioning the vehicle according to the inertia measurement sensor data and the other sensor data; and when the other sensor data is not obtained at the time point, positioning the vehicle according to the inertia measurement sensor data. By implementing the method and device, the time point of receiving the inertia measurement sensor data can be used as a time reference, and the sensor data obtained at the time point is combined to carry out positioning, thereby improving the vehicle positioning precision.

The present invention provides a large data integrated machine heat radiation cabinet based on a power application. The cabinet comprises a cabinet body, an external server, one or more substation equipment measuring point sensors, one or more lower calculation storage servers arranged at the lower part of the cabinet body, and a power supply module and a Gigabit management network module arranged in the middle part of the cabinet body. The cabinet also comprises a 10-Gigabit fiber data network module, one or more upper part calculation storage servers and one or more high performance calculation storage servers which are orderly arranged at the upper part of the cabinet from top to bottom. The cabinet also comprises a ventilation window, a fan window and a fan controller which are arranged at the middle part of the back side of the cabinet and also comprises a back plate arranged at the back side of the cabinet body and a side plate arranged at the side of the cabinet body. The large data integrated machine heat radiation cabinet has the advantages of high integration, high equipment availability, good scalability, good scattering effect, and stable system performance.