70 results about "Cache capacity" patented technology

The invention relates to the technical field of computing resource optimization, and discloses a joint resource allocation and task unloading optimization method and system, and the method comprises the steps: constructing a global resource view to sense the real-time residence state of each computing node cache line in a distributed system; a cache-aware task unloading and data prefetching combined optimization model is established, decision variables of the model include task unloading variables and data prefetching variables at the same time, and cache capacity constraints are constructed in an endogenous mode by means of a task unloading scheme so as to predict a cache line set to be expelled due to task execution; the joint optimization model is solved with the purpose of minimizing the total task completion time, a task unloading decision and a collaborative prefetching decision are synchronously generated, and the prefetching decision is determined according to the predicted expelling set and the task data dependency relationship. According to the method, task unloading and data prefetching are cooperatively decided in a unified optimization framework, so that the problem of mutual interference caused by independent optimization of task unloading and data prefetching is solved, and global active arrangement of calculation and cache resources is realized.

The invention discloses a high-speed multi-port cache arbiter with a variable word length. Along with the high-speed development of the modern network technology, storage management and scheduling take up most of time in the processing of data packets by network equipment, so that the low-speed caching capability of most memories becomes a bottleneck for limiting the further improvement of a network processor. Therefore, by managing the shared cache of not less than 32 blocks of 256Kbit SRAM units and supporting simultaneous cache writing of a plurality of ports through an arbitration mechanism, write scheduling and read scheduling can be realized without mutual influence, and concurrent read-write conflicts are avoided; meanwhile, each port supports eight priority queues, so that the data transmission bandwidth of each port can reach 1G bps; by processing a data packet, caching and data scheduling according to packets are supported, the length of the data packet is 64-1024 bytes variable, and the influence of the length of the data packet on memory resources can be avoided; and the purpose of storing resources can be achieved by dynamically adjusting space saving through memory recovery, and the data storage efficiency is improved.

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.

This application provides a cache space management method and storage device. The method includes: acquiring indicators for adjusting the allocation of cache resources in the cache space, and calculating the cache urgency factor of the cache space; determining the caching strategy of the cache space based on the cache urgency factor and preset first and second thresholds; in response to the caching strategy of the cache space, adjusting the cache capacity of the cache space, and calculating the cache adjustment amount of the cache space based on the cache urgency factor; and adaptively adjusting the capacity allocation of the first cache area and the second cache area in the cache space based on the cache adjustment amount. The above method, by monitoring cache usage and access patterns in real time, adaptively adjusts the allocation of cache resources, optimizes cache resource utilization, and improves the overall performance of the storage device in scenarios such as random reads.

The invention discloses an online recharging service management system based on cloud edge cooperation. The system comprises a sudden change detection module, an implicit state judgment module, an adjustment factor construction module, a duration modeling module, a cloud updating module and a parameter cooperation adjustment module. The mutation detection module is used for monitoring delay, packet loss density and jitter amplitude and generating a mutation mark. And the implicit state judgment module is used for dividing network states into stable, jitter, weak network and interrupt categories. And the regulation factor construction module is used for extracting interval offset, period increment, category switching and active period information. The duration modeling module is used for calculating the state staying duration. And the cloud updating module is used for correcting duration time distribution in an increment mode and deducing duration time prediction parameters of a future window. And the parameter cooperative adjustment module is used for mapping the prediction result into an acceptance limit, a cache capacity and a strategy threshold value and issuing the values to the edge node. According to the invention, the processing continuity and the resource allocation efficiency under the weak network condition are improved.

The invention provides a cache management method and device, a storage medium and a product. The method comprises the steps that Internet of Vehicles system data in each time period are obtained, the Internet of Vehicles system data comprise state information, position information, cache capacity and an accessibility matrix of each roadside unit, the state information comprises data demand information and identification information and concentration value of cached data, and the data demand information comprises a target position and identification information of target data; based on the Internet of Vehicles system data, a data caching strategy of each time period is obtained through a strategy generation model, and the strategy generation model is established according to a deep reinforcement learning algorithm; based on a data caching strategy, caching management is performed on a target roadside unit set corresponding to the target position, the target roadside unit set comprises a first roadside unit and a second roadside unit, the first roadside unit is the roadside unit closest to the target position, and the second roadside unit is the roadside unit closest to the target position; the first roadside unit and the second roadside unit have communication accessibility meeting a preset condition.

The embodiment of the application discloses a kind of matrix operation method, device, electronic equipment and storage medium, belong to data processing technical field.The method includes: according to the cache capacity of each exclusive cache layer, determine a plurality of candidate basic block parameters, according to the transmission bandwidth between each adjacent cache layer, determine the estimated data throughput corresponding to each basic block parameter, according to estimated data throughput, determine target basic block parameter from multiple basic block parameters;According to target basic block parameter, determine a plurality of candidate core task quantity parameters, determine the data loading time corresponding to each core task quantity parameter according to target basic block parameter;According to data loading time, determine target core task quantity parameter;Get the first matrix and the second matrix to be processed, according to target basic block parameter and target core task quantity parameter, each computing core is scheduled, matrix operation is carried out on the first matrix and the second matrix and corresponding matrix operation result is obtained.The application improves the efficiency of matrix operation.

The invention discloses a cache optimization method and device based on distributed storage, and relates to the technical field of distributed storage systems. The method comprises the following steps: dynamically calculating a weight factor of a cache file, attenuating the weight factor based on the access frequency and timeliness of the file, and compensating and adjusting according to the size of the file; the maximum file threshold value set by the system is dynamically adjusted according to the size distribution of the files in the cache, and the maximum file threshold value is determined based on a preset quantile range so as to eliminate interference of extremely large files on weight calculation; when the weight factor of the cache file is lower than a preset threshold value, the file is removed from the cache, and the cache space is released; when the cache capacity is insufficient, the file with the minimum weight is selected for replacement based on the weight factor of the current cache file, and the high-value file is preferentially reserved in the cache. According to the method, the cache hit rate of small files in the distributed storage system is effectively increased, cache space waste and metadata operation overhead are reduced, and system performance and resource utilization rate are remarkably improved.

The invention relates to a Sencil calculation memory access concurrency performance prediction method based on a queuing theory. The method comprises the following steps: calculating memory access missing numbers under different cache capacities by utilizing a memory access missing number prediction model calculated by Stencil; obtaining CPU storage subsystem information, and extracting a processing process of the memory access request in the hardware device supporting memory access concurrency according to the CPU storage subsystem information; according to the CPU storage subsystem information, the memory access missing number, the processing process and the assumed condition, a memory access concurrency performance prediction model is constructed by using the queuing theory and the Littele law; calculating the memory access concurrency bottleneck of each memory access stream according to the memory access concurrency performance prediction model, and calculating the actual memory access bandwidth according to the memory access concurrency of the memory access concurrency bottleneck and the dynamic memory access delay by utilizing the Littele law; according to the actual execution bandwidth and the data access amount, the actual execution time of Sencil calculation is obtained through calculation. By adopting the method, the prediction precision of the Sencil calculation performance can be remarkably improved.

The invention discloses an underwater AUV (Autonomous Underwater Vehicle) service caching and switch state switching method based on a D3QN (Digital 3QN). The method comprises the following steps: firstly, for an ocean network formed by a water surface buoy node and an AUV, establishing an AUV service cache state and dormancy / activation state coupling control model; then, through consistent binding of a target switch state and a service cache write-in action, dormancy isolation constraint and a dormancy cache freezing rule, a feasible action mask meeting cache capacity constraint and anti-repeated write-in constraint is constructed; the method comprises the following steps of: firstly, constructing a comprehensive cost function according to cache update time overhead, write-in energy consumption, switch state switching cost and invalid activation penalty, and finally, solving in a legal action subspace by using D3QN, and outputting an AUV service cache and switch state switching control strategy. According to the invention, AUV service cache updating and switch state switching under the dynamic load can be effectively realized, and underwater network energy consumption and service cache updating delay are reduced.

The present disclosure provides a memory resource management method, an electronic device, a readable medium and a program product. The memory resource management method of the present disclosure is applied to a storage server, the storage server comprising at least one adjustment object, the adjustment object being a storage service unit meeting a cache memory adjustment requirement, and the method comprising: obtaining, in response to a dynamic adjustment instruction, memory parameter target values of the adjustment objects according to a preset allocation strategy based on an allocable memory capacity; the memory parameter target value of the adjustment object being a parameter value for adjusting the cache capacity of the adjustment object, and the preset allocation strategy comprising allocation according to allocation weights of the adjustment objects or average allocation according to the number of the adjustment objects; and for any one of the at least one adjustment object, updating the memory parameter of the adjustment object by using the memory parameter target value of the adjustment object in the case that the memory parameter target value of the adjustment object and the corresponding memory parameter current value are different.

The application belongs to the technical field of electronic evidence, and particularly relates to a full-link adaptive parallel data stream acceleration method and device and a storage medium, which comprises the following steps: monitoring the data stream state of a multi-protocol interface in real time; adopting an intelligent prefetch engine and an asynchronous decoupling pipeline to perform data reading scheduling; performing hardware parallel analysis on the data from different protocol interfaces in the physical layer and the link layer, extracting effective data load and address information, and reconstructing into a unified format data descriptor; storing the unified format data descriptor into a cache matrix; if the output rate of a device connected with the protocol interface is greater than the processing rate of a host, dynamically expanding the cache capacity of the cache matrix; when detecting that the host side is idle, initiating burst data transmission according to the maximum effective bandwidth of a PCIe interface connected with the host, and simultaneously adopting a write pointer lag control strategy to smoothly output the data stream; and through a DMA mechanism, directly writing the burst transmission data stream into the host memory bypassing the host CPU. The scheme realizes efficient electronic evidence.

The invention relates to the technical field of control or regulation systems, and discloses a special equipment display screen data interaction method with CAN communication. According to the method, CAN bus operation parameters and data frame attribute information are collected, the transmission priority is calculated through multi-dimensional indexes, the Baud rate of sending equipment is automatically recognized, analysis parameters are adjusted, the data cache capacity is dynamically adjusted, and a display screen is controlled to process and display data according to the priority. According to the method, the problems of data transmission congestion, key data delay and poor baud rate compatibility in the prior art are solved, the data transmission integrity and key information timeliness are guaranteed, the method is adaptive to CAN equipment with different baud rates, the method is suitable for a multi-equipment CAN communication data interaction scene of special equipment, and the real-time and safety requirements are met.

The application provides a kind of star-ground fusion network differentiated service flow deterministic transmission scheduling method and system, belongs to communication network technical field, according to the total demand of service flow, based on the elastic transmission algorithm of cache utilization of genetic, calculate the complementary star-ground cross-domain peak cache resource reserved, and carry out the adaptive optimization of cache resource in domain, obtain the domain node resource allocation result;According to node resource allocation result, based on the transient routing and variable queue algorithm of deep reinforcement learning, the two-dimensional scheduling of routing-queue is carried out to service flow, and deterministic transmission scheduling is carried out to meet the differentiated cache capacity demand and time demand of service flow.The application makes up the defects of traditional STIN network architecture, such as lack of differentiated deterministic service concept and loose adaptation between protocol stack levels, significantly improves the deterministic communication guarantee capability of network in different scenarios, and provides strong support for efficient operation and reliable transmission of STIN.

Embodiments of the present application relate to the technical field of electronics. Disclosed are an electronic device and a method for accessing data. The electronic device comprises: a first processor, comprising an on-chip memory; and a system cache, comprising a first tag array, a second tag array, and a data array, wherein the first tag array is used for storing first tag information of the on-chip memory, and the second tag array is used for storing second tag information of the data array. The system cache is configured to: enable, by means of the first tag information, access to first system data stored in the on-chip memory; and enable, by means of the second tag information, access to second system data stored in the data array. According to the electronic device and the method for accessing data provided by the embodiments of the present application, the cache capacity of the electronic device can be improved.

The invention relates to a data transmission arbitration method and device and a storage medium. The method comprises the following steps: executing an arbitration operation on at least one received first command, and determining a thread group of a second command received in a current period; performing merging processing based on the thread group of the second command to obtain at least one related cache access request; adding the at least one cache access request to an access queue; executing an arbitration operation on at least one third command applying for arbitration in the access queue, and selecting a fourth command; and returning part or all of the data requested by the fourth command to the request module, and releasing the cache space occupied by the returned data. According to the embodiment of the invention, on the premise that the cache capacity is not increased and the structure of the upstream request module is not modified, the problems of read request accumulation and system deadlock caused by the fact that cache resources are fully occupied in the memory access process are effectively solved, and the continuous availability of a data path and the overall throughput performance of the system are remarkably improved.

The invention provides a multi-dimensional BOM collaborative management method based on a knowledge graph, a medium and a system, and belongs to the technical field of BOMs. Multi-dimensional BOM collaborative management architecture based on the knowledge graph is established, and multi-data-source BOM information is fused into a unified knowledge graph structure by adopting entity alignment and relation reasoning technologies, so that a multi-dimensional BOM collaborative management system based on the knowledge graph is obtained. A data organization mode is optimized by using a horizontal fragmentation storage strategy and a primary key attribute index, an intelligent cache strategy is constructed to identify a hotspot BOM sub-graph, and memory resource configuration is optimized by using a cache capacity function; a BOM intelligent optimization model is introduced, a multi-head attention mechanism and a recursive feature refining structure are adopted to realize intelligent decision-making of part type selection and an assembly path, and accurate BOM change influence analysis and control are realized through a graph traversal algorithm and a change propagation depth function. The technical problem of low query response efficiency caused by lack of unified collaborative management of multi-data-source BOM information is solved.

This invention relates to the field of data processing technology, and in particular to a data request processing method, apparatus, device, and medium. The method includes: adopting a scheme of separating cached metadata and cached data; using a redundant independent disk array card to uniformly manage read cached metadata; and utilizing a large-capacity host memory as a cached data storage area to decouple cached metadata and cached data. When a user's data processing request hits a cache line node in the cache area of ​​the redundant independent disk array card, the redundant independent disk array card sends the cached data address corresponding to the hit target cache line node to the host. The host processes the cached data corresponding to the cached data address on the host. Data processing can be performed directly from the host memory. By using the host memory as a cache pool, the cache capacity is greatly increased, thereby improving the data hit rate and data access speed.

The invention discloses an SVC hierarchical edge cache optimization method and device based on unmanned aerial vehicle cooperation, and belongs to the technical field of wireless communication. A system applied to the method comprises a remote server, a ground base station, unmanned aerial vehicles and ground users. The unmanned aerial vehicle service stage keeps hovering, a ground user initiates a video image quality request to the associated unmanned aerial vehicle, and the associated unmanned aerial vehicle selects a video transmission link mode according to a cache hit condition; the optimization method comprises the following steps: establishing an optimization problem of minimizing the total video transmission delay of a system under the constraint conditions of the cache capacity and the coverage range of the unmanned aerial vehicle; based on the cache capacity and coverage constraint of the unmanned aerial vehicle, the optimization problem is decomposed into sub-problems of user unmanned aerial vehicle association and unmanned aerial vehicle cooperative association, unmanned aerial vehicle cache strategy and unmanned aerial vehicle service hovering position optimization; the optimal solution of each sub-problem is solved and obtained, and the global optimal solution is found through alternate iteration, so that the total video transmission delay of the system is minimized.

This application relates to a memory-aware sparse matrix multiplication method suitable for edge embedded platforms. The method includes: first, dividing the sparse matrix into row blocks and storing them in column-major order as column segments; second, dividing the dense matrix and the result matrix into column blocks, with the layout as continuous row segments. Blocking parameters are determined based on the on-chip cache capacity to ensure that each block of the result matrix can reside in the cache. Active column segments of the sparse matrix are traversed, and matching dense matrix row segments are preloaded into registers for element reuse. Non-zero elements of the column segments are multiplied and added to elements of the dense row segments, and the results are accumulated into the corresponding blocks of the result matrix. After completing all column segment operations, the result matrix format is restored, and the final multiplication result is output. This method can reduce computational latency and memory power consumption.

The application provides a kind of multi-dimensional BOM collaborative management method, medium and system based on knowledge graph, belongs to BOM technical field, and the application establishes the multi-dimensional BOM collaborative management framework based on knowledge graph, adopts entity alignment and relation reasoning technology to fuse multiple data source BOM information into unified knowledge graph structure, utilizes horizontal fragmentation storage strategy and primary key attribute index to optimize data organization mode, constructs intelligent cache strategy, identifies hot BOM subgraph and utilizes cache capacity function to optimize memory resource configuration, introduces BOM intelligent optimization model, adopts multi-head attention mechanism and recursive feature refining structure to realize intelligent decision of component selection and assembly path, realizes accurate BOM change influence analysis and control through graph traversal algorithm and change propagation depth function, and solves the technical problem that multiple data source BOM information lacks unified collaborative management, resulting in low query response efficiency.

The invention discloses a network abnormal attack behavior identification method. The method comprises the following steps: S1, constructing an SDN network architecture on a path between an external network and an internal network; s2, intercepting all network action behaviors of the current monitoring node through an SDN network architecture; s3, defining network action behaviors by adopting a flow table rule of the SDN network architecture, and classifying the network action behaviors; s4, analyzing whether the network action behavior of the current monitoring node is an abnormal attack network flow or not according to the threshold values of the network action behavior dynamic classification operation storage capacity and the cache capacity preset by the SDN network architecture, if the network action behavior is the abnormal attack network flow, entering the step S4, and if the network action behavior is not the abnormal attack network flow, entering the step S5; s5, judging that the current network action is an abnormal attack behavior, and performing early warning; and S6, judging that the current network action behavior is normal, and returning to the step S2 to identify the next round of network abnormal attack behavior. According to the invention, multiple types of network abnormal attack behaviors can be identified.

Embodiments of the present application disclose a data processing method and device for an AI chip, a chip and a computer device, and belong to the technical field of chips. After obtaining the structural features of a neural network, at least two candidate inter-layer fusion strategies can be determined based on the features, and a target inter-layer fusion strategy that meets the least target exchange amount and the peak value of inference memory consumption that meets the total on-chip cache capacity of the AI chip is selected from the at least two candidate inter-layer fusion strategies. Finally, the adjacent network layers in the neural network are fused based on the target inter-layer fusion strategy to obtain a fused neural network, so that the to-be-reasoned data is processed based on the fused neural network. Since the target exchange amount is the data exchange amount between the on-chip cache and the off-chip storage in the target dimension in a single inference, the present application can determine the available target inter-layer fusion strategy to fuse the neural network while reducing the on-chip and off-chip data exchange amount, thereby improving the inference efficiency of the neural network while the AI chip hardware remains unchanged.

The application discloses a cache capacity solver for a nonvolatile storage and computing integrated architecture, comprising a configuration port, a CNN model loading interface, an operator analysis and fusion module, a weight splitting and mapping module, a communication network mapping module, a Tile model interface and a cache capacity iteration module; the application simulates a runtime peak demand according to a cache type divided according to a demand source, facilitates a user to customize an optimization scheme according to the cache type, abstracts a specific Tile implementation and only provides a Tile design principle and a template, and allows the user to flexibly adjust according to a self architecture without changing the entire accelerator.

This invention discloses a mobile edge caching method based on user location prediction. For multi-base station caching scenarios, this method caches a portion of files in nodes of a mobile edge network with storage capabilities. When users request these cached files, they can obtain them directly through the edge nodes without sending requests to the server via the backhaul link, avoiding duplicate file transmission and alleviating pressure on the operator's backhaul link. Simultaneously, a user location prediction mechanism is introduced, using an LSTM model to predict user locations, obtain the user group within the base station's service area for a certain time period, and calculate the file request distribution. Under cache capacity constraints, by optimizing the global caching strategy, a problem of maximizing operator caching revenue is constructed, simplified to a knapsack problem, and a dynamic programming algorithm is used to find the optimal solution for the caching strategy of each base station at each time step. This effectively reduces backhaul link overhead and improves the operator's caching revenue.

Disclosed is a network device (1) for packet switching in accordance with a bounded end-to-end delay. The network device comprises a plurality (11) of n first-in first-out, FIFO, queues, being servable in accordance with a round-robin based service policy and a fixed packet processing time (T). A respective queue of the plurality is associated with a bounded delay (Dmax) depending on the service policy of the plurality of queues and being a function of an adaptable buffer capacity (Be) of the respective queue. The network device further comprises a processor (12), being configured to determine a threshold crossing of an extent of reservation of the buffer capacity of the respective queue; and to adapt the buffer capacity of the respective queue in accordance with the determined threshold crossing. This enables network devices of a network to trade off QoS and capacity locally in a distributed manner, without a centralized controller.

This application discloses a method, device, electronic device, storage medium, and vehicle for dynamic management of vehicular Ethernet threshold queues. The method includes: acquiring cache capacity requirement information; the cache capacity requirement information includes the cache capacity requirements of low, medium, and / or high priority data frames; adjusting cache space partitions according to the cache capacity requirements; setting expansion levels according to the cache space partitions; and adjusting the cache space occupancy of data frames according to the cache capacity requirement information and the expansion levels. Through the above scheme, dynamic management of Ethernet threshold queues fully utilizes the cache space, enhances the ability to cope with changes in data frame volume, and dynamically adjusts each partition in the shared area through backpressure and bounce mechanisms, ensuring that the cache space always adapts to the increase in data frames.

The embodiment of the invention discloses an electronic device and a method for accessing data, and relates to the technical field of electronics, the electronic device comprises a first processor comprising an on-chip memory; the system cache comprises a first tag array, a second tag array and a data array, the first tag array is used for storing first tag information of the on-chip memory, and the second tag array is used for storing second tag information of the data array; the system cache is used for enabling access to the first system data stored in the on-chip memory through the first tag information; and enabling access to the second system data stored in the data array through the second tag information. According to the electronic device and the data access method provided by the embodiment of the invention, the cache capacity of the electronic device can be improved.

The application discloses a kind of graphic processor, key value cache reading and writing method, equipment and storage medium, graphic processor includes: instruction analysis unit, vector compression unit, key value cache unit, data management unit and vector decompression unit.Instruction analysis unit determines access instruction parameter by parsing instruction.Vector compression unit determines vector compression data by vector compression.Key value cache unit stores vector compression data.Data management unit retrieves target vector compression data corresponding to target vector from key value cache unit.Vector decompression unit is used to decompress reconstruction target vector compression data, and obtain target vector.The application successfully realizes that key value vector is kept in compressed form in the whole process of writing, caching and reading out, effectively reduces the pressure of on-chip cache capacity and on-chip interconnection bandwidth when key value cache reading is carried out in graphic processor, and improves key value cache reading and writing efficiency, improves the task execution efficiency and quality of graphic processing.

The application discloses a cache method based on node state and content heat, which is applied to NDMANET and comprises the following steps: if there is a PIT table item corresponding to a data packet in an intermediate node, then the cache score S of the intermediate node is calculated based on the connectivity, cache free amount and heat of the node cache and the cache score threshold T score ; S cache is compared with T score ; if S cache is less than T score , the cache process is not executed, and the data packet is directly forwarded; if the cache score S cach is greater than or equal to T score , the content is cached in the CS when the cache capacity is sufficient, and the content is attached with an expiration time; when the cache capacity is insufficient, a cache replacement algorithm is executed first, then the cache free amount is updated, and the data packet is forwarded. The application can cache the content with higher heat to a suitable node, so that the node cache hit rate is improved while reducing the user request time delay.