7results about How to "Improve data storage capacity" patented technology

The embodiment of the invention discloses an in-memory computing circuit based on a magnetic cache, and the circuit comprises at least one magnetic cache unit, at least one in-memory computing unit, and a timer. The magnetic cache unit in the at least one magnetic cache unit is used for caching data output by the corresponding in-memory computing unit as to-be-processed data within the corresponding data retention time; the timer is used for respectively setting data retention time for the at least one magnetic cache unit; and the in-memory computing unit in the at least one in-memory computing unit is used for extracting the data to be processed from the corresponding magnetic cache unit for calculation and outputting the computed data to other magnetic cache units. According to the embodiment of the invention, the invention achieves the flexible adjustment of the data retention time of the magnetic cache unit in various in-memory calculation scenes, and achieves the provision of a high-capacity cache for the data needed by in-memory computing under the lower power consumption.

The utility model relates to the technical field of optical discs, in particular to a low-carbon environment-friendly optical disc which comprises a middle supporting layer which is of a five-layer structure and comprises a first aluminum-plated reflecting layer, a first polycarbonate supporting layer, a middle paperboard layer, a second polycarbonate supporting layer and a second aluminum-plated reflecting layer from top to bottom. The first polycarbonate supporting layer and the second polycarbonate supporting layer are bonded outside the middle paperboard layer, the first polycarbonate supporting layer is arranged at the upper end of the second polycarbonate supporting layer, and the first aluminized reflecting layer is bonded on the outer side of the first polycarbonate supporting layer. The second aluminum-plated reflecting layer is bonded to the outer side of the second polycarbonate supporting layer, the reflecting direction of the first aluminum-plated reflecting layer is opposite to that of the second aluminum-plated reflecting layer, and a first information layer and a first transparent substrate layer are sequentially arranged on the outer side of the first aluminum-plated reflecting layer; and a second information layer and a second transparent substrate layer are sequentially arranged on the outer side of the second aluminized reflecting layer.

According to the data storage and analysis device for the embedded system provided by the invention, the bus simulation interface is arranged on the diagnosis control panel and is connected with the memory interface of the embedded system through the storage simulation bus, so that the access operation information of the embedded system on the memory interface can be transmitted to the bus simulation interface; the bus simulation interface decodes the access operation information according to a storage protocol followed by the storage simulation bus to obtain time sequence record data; by arranging a data statistics storage module, corresponding reading operation / writing operation can be executed, operation time can be recorded, and storage analysis data can be obtained; the upper computer communication interface is arranged on the diagnosis control panel and is connected with the upper computer through the upper computer bus, so that storage analysis data can be transmitted to the upper computer, a data area which is frequently accessed in the embedded system can be analyzed, whether the performance of the embedded system has a problem or not can be analyzed, and the diagnosis control panel is convenient to use. And a rich basis is provided for accurately evaluating the data storage performance and reliability of the embedded system.

The invention discloses a data storage method and system, electronic equipment and a storage medium. The invention relates to the field of computers, and the method comprises the following steps: receiving a data storage request; in response to the data storage request, to-be-stored data is searched from a physical storage space, and the physical storage space is used for storing data from a cloud native database; performing fragmentation processing on the to-be-stored data to obtain a plurality of data fragments; storage nodes matched with the data fragments are determined, the storage nodes are associated with the cloud native database, and the load information of the storage nodes allows the storage nodes to execute storage operation on the data fragments; and storing the data fragments into a virtual storage space corresponding to the physical storage space by using the storage node. The technical problem of low data storage efficiency is solved.

The invention discloses a federated learning method based on a model deviation and variance distribution model, and relates to the field of machine learning. According to the method, the variance of the model uploaded by the client in each round is calculated on the server, the offset parameter of the model of each client relative to the global model is learned, the personalized information of each client is extracted, and a personalized initial model is provided for local learning of the client in each round. Through personalized model learning, the learned model has better performance on local data, the problem that existing personalized federated learning depends on extra overhead on the client is solved, extra data does not need to be transmitted between the client and the server, and privacy of client data is better protected. In addition, by means of hierarchical calculation of the model, calculation and storage expenses in the learning process are reduced, meanwhile, the performance of the personalized model is further improved, and the prediction accuracy of the data is improved.

The invention relates to a high-speed data acquisition, storage and playback device. The device comprises a high-speed AD module; a storage module; a high-speed DA module; the computer is provided with a central processing unit; wherein the high-speed AD module is in communication connection with the storage module, the storage module is in communication connection with the computer, and the storage module is in communication connection with the high-speed DA module; wherein the first FPGA is configured to directly control data interaction between the first high-speed communication interface and the storage module and analog-digital signal conversion of the high-speed AD converter in a mode of bypassing the central processing unit; the second FPGA is configured to directly control the access to the DDR cache and the data interaction between the disk array and the second and third high-speed communication interfaces and the network interface in a manner of bypassing the central processing unit; and the third FPGA is configured to directly control data interaction between the fourth high-speed communication interface and the storage module and digital-analog signal conversion of the high-speed DA converter in a manner of bypassing the central processing unit.

The invention relates to a data storage method and device, computer equipment, a readable storage medium and a product. The method comprises the steps of determining at least one data storage request; the data storage request carries to-be-stored data; controlling the request partitioning party to carry out striping processing on each data storage request to obtain at least two sub-requests; the data access system comprises a request partitioning party; selecting a target processing party corresponding to each sub-request from at least two request processing parties in the data access system, and controlling the request segmentation party to output each sub-request to the corresponding target processing party; and controlling the target processing party to respond to the corresponding sub-request. By adopting the method, the data storage performance of the cloud hard disk can be improved.