35results about How to "Avoid communication bottlenecks" patented technology

The invention discloses a cell array calculation system, comprising a main control CPU, a cell array, a cell array bus and at least one memory unit array; the cell array is a two-dimension cell array consisting of at least one cell having functions of calculation and storage, wherein each cell comprises a microprocessor and a nonvolatile random storage device; the memory array is a two dimension array consisting of more than one memory unit; the cell array stacks with the memory unit array to form a three-dimension structure; the memory units in each memory unit are connected to the cells of the cell array in one-to-one correspondence; the memory unit cooperates with the nonvolatile random storage device to commonly perform random storage of the data related to the calculation of the microprocessor; a main control CPU performs communication with each cell in the cell array through the cell array bus; a communication interface is arranged between the adjacent cells in the cell array for transmitting data. The invention can overcome the communication bottleneck between the CPU and the memory and storage in the current computer architecture and improves the integral performance of the system.

The invention discloses a cell array calculation system and a communication method between cells. The cell array calculation system comprises a main control CPU, a cell array, a cell array bus and at least one memory unit array; the cell array is a two-dimension cell array consisting of at least one cell having functions of calculation and storage; the main control CPU performs communication with each cell in the cell array through the cell array bus; a communication interface is arranged between the adjacent cells in the cell array for transmitting data; the cells participating the communication between cells in the cell array comprises starting point cells, terminal point cells and transfer cells; the starting point cell transmits data to the terminal point cell; the terminal point cell finally receives the data transmitted from the starting point; and the forwarding cells are adjacent along the communication path between the cells and transfers the data transmitted by the starting point cell through the communication cell. The invention can overcome the communication bottleneck between the CPU and the memory and storage in the current computer architecture and improves the integral performance of the system.

The invention disclose a cell array calculation system and a communication method wherein, comprising a main control CPU, a cell array and a cell array bus; the cell array is a three-dimension cell array obtained through stacking more than one two-dimension cell array; the two-dimension cell array consists of more than one cell having functions of calculation and storage, wherein each cell comprises a microprocessor and a nonvolatile random storage device; the nonvolatile random storage device is used for random access of the data related to the calculation of the microprocessor and is used for storing the software code and the data needed to be stored permanently; each cell stores the position of itself in the cell array as an ID for the software or the hardware in the cell to read; the main control CPU performs communication with each cell in the cell array through the cell array bus; and a communication interface is arranged between the adjacent cells in the cell array for transmitting data. The invention can overcome the communication bottleneck between the CPU and the memory and storage in the current computer architecture and improves the integral performance of the system.

The invention relates to a cell array calculation system and a communication method thereof. The cell array calculation system comprises a main-control central processing unit (CPU), a cell array and a cell array bus, wherein the cell array is a two-dimensional array comprising more than one cell compatible with functions of calculation and storage, the main-control CPU is in communication with each cell in the cell array through the cell array bus, a communication interface is arranged between adjacent cells and can be used for sending data, cells participating communication among cells comprise a starting cell, a terminal cell and transit cells, the starting cell is the cell for sending data to the terminal cell, the terminal cell is the cell for finally receiving the data sent from the starting cell, the transit cells are cells which are sequentially adjacent to one another along a communication path among the cells and are used for transiting the data sent from the starting cell through the communication interface, and an arbitrary cell also can be taken as the starting cell for group-sending communication to all cells in a target region. By the cell array calculation system, the communication bottleneck existing between the CPU and the memory and storage of a conventional computer framework can be overcome, and the comprehensive performance of the system is improved.

The invention discloses a method for informing a resource node message and a network entity device, which is applied to a peer-to-peer network. The method comprises the following steps that: a first index server receives an obtaining request launched by a user end of the network; the obtaining request is used for obtaining the resource node message corresponding to the needed resource; and the first index server determines the resource node message of the network contained in the stored node message of the corresponding resource and returns the resource node message to the user end. The provided resource node message informing method and the network entity device can reduce the cross-network flow to a larger extent, reduce the burden and the operating cost of operator network equipment and avoid the problem of communication bottleneck between different operator networks generated by the cross-network flow.

The invention relates to a cell array calculation system. The cell array calculation system comprises a main-control central processing unit (CPU), a cell array, a cell array bus and at least one storage unit array, wherein the cell array is a two-dimensional array comprising more than one cell compatible with functions of calculation and storage, each cell comprises a micro-processor and a non-volatile random access memory, the storage unit array is a two-dimensional array comprising more than one storage unit, the cell array and all storage unit arrays are laminated to form a three-dimensional structure, the storage unit in each storage unit array is connected with each cell of the cell array in one-to-one correspondence, the storage units and the non-volatile random access memory are matched and are jointly used for storing an instruction code of software and data required to be permanently stored, the main-control CPU is in communication with each cell in the cell array through the cell array bus, and a communication interface is arranged between adjacent cells and can be used for sending data. By the cell array calculation system, the communication bottleneck existing between the CPU and the memory and storage of a conventional computer framework can be overcome, and the comprehensive performance of the system is improved.

The invention relates to a method for realizing neural network calculation by using a cell array calculation system. The cell array calculation system includes a main control CPU, a cell array and a cell array bus; the cell array is a two-dimensional array composed of more than one cell with a calculation function and a storage function; the main control CPU communicates with each cell in the cell array through the cell array bus; and communication interfaces are arranged between adjacent cells and can transmit data to each other. The method includes the following steps that: each cell in the cell array, which participates in neural network calculation, stores the code of one or more than one neuronal function; any cell in the cell array, which participates in neural network calculation, receives execution results for the codes of the neuronal functions which are outputted by other cells and adopts the execution results as input data of the cell so as to execute the codes of the neuronal functions stored by the cell, and outputs an execution result, or stores the execution result into a preset address. With the method of the invention adopted, communication bottlenecks between the CPU and memory as well as between the CPU and storage of an existing computer architecture can be eliminated, and the overall performance of the system can be improved.

The invention discloses a cell array calculation system, comprising a CPU, a cell array, a cell array bus and a memory unit array; the cell array is a three-dimension cell array obtained through stacking more than one two-dimension cell array; the two-dimension cell array consists of more than one cell having functions of calculation and storage; at least one two-dimension cell array stacks with one or more than one corresponding memory unit arrays to form a three-dimension structure; the memory units in each memory unit are connected to the cells of the corresponding two-dimension cell array in one-to-one correspondence; each cell stores the position of itself in the cell array as an ID for the software or the hardware in the cell to read; a main control CPU performs communication with each cell in the cell array through the cell array bus; a communication interface is arranged between the adjacent cells in the cell array for transmitting data. The invention can overcome the communication bottleneck between the CPU and the memory and storage in the current computer architecture and improves the integral performance of the system.

The invention relates to a fine-grained cloud platform security access control method based on user identity capabilities, belonging to the technical field of resource access; the invention divides files uploaded by data owners into control fields and ciphertext fields, and stores the ciphertext fields in Cloud physical nodes, the cloud server saves the control field, and the cloud server agent performs intervention control, reasonably allocates network resources, reduces the burden on data owners, and only needs to update the control list locally in the process of access authorization redirection , associate each globally unique file number identifier with a globally unique user identity identifier, and bind the user's operation authority to achieve fine-grained access control, and encrypt the uploaded identity-permission-ciphertext list , to ensure the confidentiality and integrity of user information and file information, and reduce the risk of information leakage on the third-party cloud platform.

The present invention discloses a message transmission method and equipment. The method includes: a virtual switch receives a first flow table and a second flow table delivered by an SDN controller; when the virtual switch receives a message from a virtual machine, if the report If the text can match the first flow table, the virtual switch uses the first flow table to send the packet to the virtual NAT device, and the virtual NAT device performs NAT translation on the source IP address of the packet, and sends the NAT-translated packet For the virtual switch; when the virtual switch receives a message from the virtual NAT device, if the message can match the second flow table, the virtual switch uses the second flow table to perform VXLAN encapsulation on the message , and send the VXLAN-encapsulated packet to the VXLAN gateway. In the embodiment of the present invention, the VXLAN gateway is prevented from performing NAT conversion on the message of the virtual machine, the CPU resource of the VXLAN gateway is saved, and the processing performance of the VXLAN gateway is reduced.

The invention discloses a graph-based large-scale embedding model training method and system for click-through rate prediction. The system includes a dense parameter module and a client-side module, adopts a hybrid communication architecture, and distributes the click-through rate prediction input data set to different jobs. Each worker node maintains a client, and the local model parameters are directly stored in the GPU memory; each worker node holds a copy of the model parameters and synchronizes them during training. The present invention adopts the Embedding model parameter to represent the importance of the feature value of the corresponding category of the input data of click-through rate prediction, expresses the click-through rate prediction data and the embedding model vector as a binary graph model, and uses the graph locality and degree skew characteristics to perform parallel training of the model; Design graph-based partitioning and bounded synchronization to improve scalability and parallel computing efficiency for training large embedding models.