133results about How to "Improve hit rate" patented technology

The embodiment of the invention provides a multi-core network-on-chip transaction processing system, method, device, medium and product, the multi-core network-on-chip transaction processing system comprises a plurality of clusters, each cluster comprises four processing cores, a slave node and a master node, each processing core is provided with a cache, each slave node is provided with a slave node, and each slave node is provided with a slave node; the slave node is provided with a private cache, and the slave node comprises a four-stage pipeline architecture; the slave node is used for processing a request transaction through the four-stage pipeline architecture and generating a target response message or target response message data under the condition that the request transaction is received, and the four-stage pipeline architecture is constructed based on different clock periods and is used for periodically processing the request transaction.

The invention discloses a cache management method, electronic equipment, a storage medium and a program product, and relates to the technical field of data storage, and the method comprises the following steps: obtaining current operation data of a storage system in a current period, determining current access popularity corresponding to a plurality of data blocks according to the current operation data, and storing the data blocks according to the current access popularity. The resource allocation of the target cache is dynamically adjusted, the problem that the data access efficiency of a storage system in the related technology is low is solved, and the technical effect of improving the data access efficiency of the storage system is achieved.

The invention provides a data prefetching method and device. The data prefetching method comprises the steps that parameters of a read request for a storage device in a prefetching time window are obtained, and the parameters of the read request comprise features of the read request and logic block address information of the read request; according to the characteristics of the read requests, determining the prefetch number of subsequent read requests for the storage device; according to the logic block address information of the read request, determining the prefetch heap block addresses of the prefetch quantity of the subsequent read request; and pre-fetching the data of the pre-fetching heap block addresses of the storage device according to the pre-fetching number.

The invention discloses a cloud storage acceleration method and system based on edge computing, and relates to the field of electrical digital data process.The method comprises the steps that a file access track ring is constructed; extracting historical access files as a first associated file set; calculating the access time difference of each historical access file; determining a plurality of association clusters and two association file sets according to the access time difference; performing cyclic displacement in the second associated file set to obtain a displacement associated cluster; extracting a third associated file set; determining a prefetching file; setting an annular cache queue, and determining a prefetching position according to the position information; when the space of the annular cache queue is smaller than a preset value, the prefetched file corresponding to the prefetched position in the preset interval of the annular cache queue is reserved, and a final prefetched file is obtained; and when it is detected that the user accesses the target file, loading the final prefetched file from the cloud storage server to the edge server. The method and device are used for solving the problem that the cache hit rate of the associated files is reduced, and the cloud storage acceleration speed is increased.

The invention relates to the technical field of cache optimization, and discloses a cache optimization method and device, equipment, a storage medium and a computer program product.The method comprises the steps that data information of all cache nodes in different cache hierarchies is obtained, a cache strategy is updated based on the data information, and an updated cache strategy is obtained, the different cache levels comprise a local cache level, a regional cache level and a global cache level; on the basis of the updated caching strategy, each caching hierarchy is optimized, and the optimized caching content is obtained; in response to a content request of a user, carrying out dynamic path selection at different cache hierarchies to obtain a target request path; and obtaining target cache content from the optimized cache content based on the target request path. The method can effectively adapt to data requests of different scales and types, efficient utilization of storage resources and optimization of access performance are achieved, the cache hit rate is effectively increased, and the content transmission cost is reduced.

The invention discloses a flow-based local message classification method and device, and relates to the field of message classification, and the method comprises the steps: carrying out the parallel comparison of a keyword of a to-be-classified message with a keyword temporarily stored in a shift register, obtaining a comparison result, and generating an index matching result through an arbiter according to the comparison result; according to the locality principle of a message flow, historically queried table item information is cached into a dynamic cache table, an arbiter arbitrates a comparison result of a shift register, calculates an offset address of the dynamic cache table and obtains a matching result, and whether an original rule table needs to be queried and whether a dynamic cache table memory needs to be updated are determined according to a search result. Under the condition that the matching is unsuccessful, the dynamic cache table memory can guide the same message to directly use the offset address to obtain the table item information in the next search without searching from an original rule table, so that the hit rate is increased, the matching efficiency is improved, and the storage resources are saved.

The invention provides a sniping type arresting shooting planning method based on an electromagnetic gun, and the method comprises the steps: 1, obtaining target motion state information through a target state information filtering algorithm; wherein the target motion state information comprises position information, speed information and acceleration information of the target; 2, the main vehicle customizes an array bullet screen according to the target motion state information and the vehicle body motion state information; the arrayed bullet screens are divided into bullet facing face bullet screens and flyswatter bullet screens; 3, the main vehicle predicts the position information and the required movement time when the target reaches the specified interception slant distance according to the target movement state information, so that the maneuvering target is regarded as a fixed point and sniping interception is carried out; and step 4, information intercommunication among multiple cannon vehicles is carried out, a launching time sequence is determined, asynchronous launching is carried out, a plurality of cannon vehicles are shot at the same time, an array bullet screen is formed, and sniping is carried out on a maneuvering target. The method has the capability of actively sniping the maneuvering target.

The invention provides a bad root cause analysis method and system based on a comprehensive analysis framework, and relates to the technical field of bad root cause analysis, and the method comprises the steps: obtaining bad data and processing process data; performing comprehensive analysis on the bad data and the processing process data according to the comprehensive analysis framework so as to position intermediate link factors related to the bad product; performing root cause positioning analysis on the processing process data according to the bad data so as to preliminarily position a root cause station and root cause machine equipment; root cause positioning analysis is carried out on the processing process data according to the intermediate link factors related to the bad products so as to further position root cause machine equipment; and performing fusion judgment on the root cause site and the root cause machine equipment which are preliminarily positioned and the root cause machine equipment which is further positioned to obtain a comprehensive root cause positioning result. The root cause positioning of the processing equipment is carried out based on the comprehensive analysis framework, and the problem that comprehensive analysis and judgment cannot be realized due to isolation between different bad root cause analysis means is solved.

The invention discloses a multi-level cache system and method based on REDIS. The multi-level cache system comprises N Node nodes, a plurality of application programs and proxy services are deployed on each Node node, and a first-level cache is configured on a driving layer closest to the application programs; simultaneously deploying a proxy cache database proxy service on a server where the application program is located, and configuring a second-level cache; and finally, the cache database Redis itself is used as a third-level cache. According to the method, by reasonably distributing cache responsibilities of different levels, the read load of the Redis database is reduced, the cache hit rate is increased, the network I / O overhead is reduced, and the overall performance and stability of the system are improved.

The invention relates to a cache data processing method and device, computer equipment, a storage medium and a computer program product. The method comprises the steps of obtaining task related data of a current running task, and inputting the task related data into a pre-trained prediction model; the prediction model is a machine learning model which is obtained based on self-attention mechanism training and is used for determining correlation among the operation tasks; a to-be-cached data list for the next task is output through the prediction model, the to-be-cached data list comprises respective caching probabilities of a plurality of data units, and each data unit comprises a data table and a data path; and determining target cache data according to the to-be-cached data list, and storing the target cache data in a preset cache. By adopting the method, the hit rate of the cache can be improved.

The invention discloses an importance perception KV cache management system and method, and aims to solve the problems of long reasoning time and low throughput rate caused by low efficiency of a traditional K and V cache management strategy in a large model reasoning process. According to the method, the importance is introduced into the management strategy of the K and V caches, the cache hit rate on a relatively fast medium in storage is improved by tracking the importance of the K and V, combining the read frequency of the K and V and using the importance score as the basis of cache management, the time for reading the K and V is shortened, the overall time delay of an inference system is reduced, and the throughput is improved. The method is suitable for importance-based large model reasoning tasks with shared prefixes, the model reasoning precision can be maintained, meanwhile, the output time delay is shortened, and the throughput capacity is improved by about two times.

The invention provides a cache which comprises at least two layer structures, each layer structure comprises a first cache unit and a second cache unit, first cache access instructions of different layer structures enter different pipelines to access the first cache unit in the corresponding layer structure, and second cache access instructions of different layer structures enter different pipelines to access the second cache unit in the corresponding layer structure. The second cache access instructions of different layer structures enter different assembly lines to access the second cache units in the corresponding layer structures; the cache comprises a plurality of layer structures, the cache capacity can be expanded, the data hit rate is increased, and the overall performance of a CPU is improved; moreover, the cache access instruction of each layer structure independently accesses the respective cache unit by mistake, so that the cache processing efficiency can be ensured. The invention further provides a data processing device and a chip.

The invention discloses a mobile robot performance system popularity racking method based on an improved TabNet algorithm. Comprising the following steps: collecting historical order data; the historical order data is preprocessed; a TabNet algorithm is improved, and a popularity model based on the improved TabNet algorithm is constructed; training a popularity model based on an improved TabNet algorithm by using the preprocessed data set, calculating a popularity score of each SKU, and performing real-time data updating and dynamic recalculation of the popularity score; and according to the SKU popularity score obtained through calculation, goods are put on different goods shelf areas. The invention provides a novel mobile robot performance system popularity shelving method based on an improved TabNet algorithm, so that high-popularity SKUs can be effectively identified and shelved in a concentrated manner through dynamic feature selection and a popularity scoring mechanism, thereby improving the order line hit rate of an RMFS system and optimizing the sorting efficiency.

This invention discloses a cache adjustment method, apparatus, device, and computer-readable storage medium, comprising: collecting access characteristic data from the client layer, object storage daemon layer, and device layer respectively; determining the object access mode of the system based on the access characteristic data; and adjusting the cache priority of each access task, the cache capacity ratio between the client layer and the object storage daemon layer, and the data residence time in the cache layer according to the object access mode; wherein the cache layer includes the client layer and the object storage daemon layer. This invention improves cache hit rate and overall read / write throughput performance, and reduces access latency.

The present invention relates to the technical field of data comparison and analysis, and proposes a method and system for automatic comparison and analysis of ultra-large-scale data, including inputting a target document, classifying the target document, obtaining a target document library, and obtaining a target virtual vector value of the target document library; calculating the vector of the target document and each document in the target document library; calculating the vector difference D1 from the target vector to the target virtual vector value, and calculating the vector difference D2 from the vector of each document in the target document library to the target virtual vector value; and selecting a document whose vector difference D2 is close to the vector difference D1 as the first approximate document of the target document. Data indexing is performed using a vector indexing method, and its indexing speed is orders of magnitude higher than that of traditional text indexing, and the retrieval results are more conducive to subsequent data mining using statistical formulas.

The invention discloses a data prefetching method and device, electronic equipment and a computer readable medium, and the method comprises the steps: when to-be-processed data is stored in a first storage space, and the data size of the to-be-processed data comprises size characterization values under at least two dimensions, determining a thread division description parameter corresponding to each dimension according to the data size; according to the thread division description parameters corresponding to the at least two dimensions, selecting a target dimension meeting a preset condition from the at least two dimensions; performing thread division processing on the to-be-processed data on the target dimension to obtain at least one piece of block data and thread processing time constraints corresponding to the block data; and for any block of data, the block of data is prefetched from the first storage space to the second storage space according to the thread processing time constraint corresponding to the block of data, so that the moment when the block of data is stored in the second storage space meets the thread processing time constraint corresponding to the block of data, and the prefetching effect is improved.

The invention relates to a double-propellant configuration barrel rocket gun, in particular to a smoothbore barrel rocket gun using a double-propellant configuration rocket projectile, and aims to solve the problem that a large-power weapon is long in barrel and large in dead weight due to the fact that killing power of a traditional light weapon and a medium and small caliber gun is limited by barrel bore pressure at present. And the practical requirements that the weapon hit precision is superior to or at least not lower than that of an existing traditional barrel gun and the weapon and ammunition cost does not exceed that of the existing traditional barrel gun can be met. The main technical advantages of the invention are concentrated in the field of medium-and-small-caliber and limited-range direct aiming gun and gun weapons, and can be applied to infantry light weapons, such as pistols (individual self-defense weapons), submachine guns, automatic rifles, sniper rifles and light and heavy machine guns, and medium-and-small-caliber direct aiming artillery, such as tank cannons, antitank cannons, air defense cannons and aviation machine cannons.

The invention discloses a building vector graph multi-scene intelligent simplification method and system, and belongs to the technical field of geographic information systems. Comprising the following steps: establishing a four-level data system comprising an original data layer, an engineering cache layer, a display cache layer and a terminal view layer; monitoring data change and user interaction events through an event bus; the event is responded, the current application scene is intelligently recognized, and the corresponding simplified parameter configuration is dynamically loaded; based on the configuration, executing simplification logic on the target building vector graph; querying a topological relation to carry out cooperative processing on the contours of the adjacent buildings; and synchronously updating a processing result to the four-level data system. Through four-stage data caching, dual-drive triggering and scene self-adaptive judgment, efficient, high-quality and self-adaptive processing of building simplification in multiple scenes such as cartographic integration, real-time display and spatial analysis is realized, and the system flexibility, the resource utilization rate and the user experience are improved.

The application discloses a domain name resolution method and device based on domain name request risk management and control, the method comprises the following steps: identifying domain name requests as normal domain name requests or abnormal domain name requests; according to the user domain name access behavior data set and the abnormal domain name association strength, evaluating the security rating and the security score of the user; sending the normal domain name requests initiated by users with different security ratings to the DNS server subset cluster corresponding to their levels, so that the DNS server subset cluster of the level responds to the normal domain name requests in order based on the security score; predicting the normal domain names with high probability of access to form a domain name resource list, which is used to cache the domain name resource list to the selected DNS server when the security rating of the user is higher than the set threshold, so as to improve the domain name resolution cache hit rate and the resolution efficiency. The application solves the problem of reduced performance of the domain name server caused by the low utilization rate of the conventional DNS server due to the zombie network attack.

The invention discloses a remote desktop frame query method and device, and relates to the field of remote desktops, and the method comprises the steps: dividing a current frame into a plurality of target bitmap lines corresponding to a displacement direction according to the pixel length of the bitmap lines, and calculating the hash values of the target bitmap lines; the Hash values are stored in a target two-dimensional array, the Hash values located in the same row form a continuous storage dimension, and the Hash values located in different rows form a discrete storage dimension, or the Hash values located in the same column form the continuous storage dimension, and the Hash values located in different columns form the discrete storage dimension; aiming at each target hash value in the target two-dimensional array, inquiring and judging whether a first hash value with the same row and column sequence number as the target hash value in a first two-dimensional array of a previous frame is the same as the target hash value or not; and if the first hash value is the same as the second hash value, determining that the processing mode of the target bitmap line corresponding to the target hash value is moving, so that the client takes the data corresponding to the first hash value as the data of the target hash value, thereby effectively reducing bandwidth occupation, CPU consumption and image display delay.

The invention discloses a cache management method and device, equipment, a storage medium and a product, and the method comprises the steps: responding to a cache access, and obtaining a hit condition of the cache access; adjusting global leapfrogging parameters according to the hit condition; and according to the hit condition and the global leapfrogging parameter, adjusting the item level of the data item. According to the embodiment of the invention, the adjustment step length of the item level of the data item is reduced during hit, it is ensured that the hot data partition stores the high-frequency accessed data item, the occasionally accessed data item is prevented from mistakenly entering the hot area, the hot data partition entering speed of the sudden hot data item can be reduced, and the hot data partition entering efficiency is improved. The concerned data items are prevented from being quickly deleted; when the new inserted data is not hit, a large entry level is configured for the new inserted data, the new inserted data is placed in a cold data area, storage of high-frequency access data is prevented from being affected, negative feedback closed-loop control over a cache area is achieved, cold and hot data are effectively distinguished, the problem of access delay caused by the fact that the cold and hot data are difficult to distinguish is solved, and the access efficiency is improved. And the response speed and the cache stability are dynamically balanced.

The invention provides a computing device, method and equipment based on an RISC-V instruction and a medium. An instruction fetching unit is set to generate a first instruction address of a current period, and a first instruction of the current period is acquired according to the first instruction address; the first instruction address of the current period is compared with the jump address of the branch instruction in the branch prediction cache, and if branch prediction succeeds, the jump address of the branch instruction serves as the first instruction address of the next period; the decoding unit decodes the first instruction of the current period to obtain a decoded second instruction; the address generation unit generates a data access address of the current period according to the second instruction; the execution unit performs calculation according to the data in the data access address to obtain an execution result of the current period; and the write-back unit writes back the execution result of the current period, the current period is ended, and branch prediction is performed by using the branch prediction cache, so that high-hit-rate branch prediction is realized, delay is reduced, the performance is high, and the cost is low.

The present invention relates to the technical field of online marketing, and discloses a marketing method for online sales, comprising: obtaining user's favorite products, dividing a day into multiple time periods, and calculating the user's historical average browsing time in each time period; judging in real time whether the user has opened a shopping software, and if the user has opened it, obtaining the current time period and calculating the total number and total time of the user's browsed products to determine the browsing time of a single product; recommending a specific number of products from a set of intended products according to the user's browsing time and average browsing time of a single product in the current time period; obtaining the user's browsing status of the recommended products in real time, and adjusting subsequent recommended products according to the user's browsing feedback.