1282 results about "Datapath" patented technology

An FPGA-based accelerator for bootstrappable fully homomorphic encryption (FHE) employs (1) acceleration of scalar arithmetic operations using a multi-word approach for efficient utilization of standard-width components (multipliers / adders) on custom-width operands; (2) a performant, shift-based modular reduction technique that avoids the need for expensive multipliers; (3) an improved datapath for an expensive Key Switch operation; and (4) an efficient organization of on-chip memory for storing custom-width operands and supplying them at high bandwidth to computation units.

A method for performing an application migration operation includes initiating the application migration operation to migrate an application from a source device to a target device, where the source device includes a source data migration agent and the target device comprises a target data migration agent. The method also includes initiating an active scan of network traffic at a transmission control protocol layer. The method further includes establishing a secure data path between the source device and the target device. In addition, the method includes beginning migration of the application from the source device to the target device using the secure data path. Moreover, the method includes making a first determination, using the active scan, that a data packet is associated with suspicious activity and rejecting the data packet based on the first determination.

The invention discloses a container tracking management system and method. The method comprises the following steps: S1, carrying out dynamic encryption binding and multi-dimensional data acquisition on an RFID chip; s2, realizing real-time position data acquisition of the container under different environmental conditions through a multi-source signal fusion and error correction algorithm; s3, various sensor modules are installed inside and outside the container, and data processing is carried out through distributed edge nodes; s4, performing on-chain storage on total data generated in the transportation process through a Hash encryption algorithm, and realizing automatic data verification, state tracking and abnormity alarm in combination with an intelligent contract; s5, carrying out real-time dynamic modeling analysis on the transportation path and resource allocation, and dynamically adjusting the transportation plan by using a distributed scheduling strategy; and S6, integrating the real-time state data, the path optimization model and the transportation scheduling decision, and providing a report for a user. The method has the advantages of high positioning precision, high data security, high transportation efficiency and good real-time performance.

A fabric control protocol (FCP) is a data transmission protocol that enables spraying of individual packets for a given packet flow across a data center from an ingress interface of the source data processing unit (DPU) across a plurality of parallel data paths of a logical tunnel in the network fabric to the egress interface of the destination DPU. The FCP has congestion control mechanisms used to determine a degree of congestion at the egress interface of the destination DPU and to modify a send window size at the source DPU based on the degree of congestion. Reliable FCP (rFCP) extensions provide reliability enhancements and improved failure resilience within the data center. The rFCP extensions provide an unsolicited mode for low latency operation with enhanced reliability mechanisms. The rFCP extensions provide failure resilience mechanisms to identify and avoid failed paths among multiple parallel data paths within the logical tunnel.

Some embodiments of the invention provide a method for increasing system capacity of a RIC in a RAN, the RIC including a first datapath pod for forwarding communications between a first set of RAN applications connected to the RIC and a first set of base station components connected to the RIC. The method uses the first datapath pod to forward communications between the first set of RAN applications and the first set of base station components. The method determines that the first datapath pod has insufficient resources for forwarding traffic between the first set of base station components and the first set of RAN applications. Based on said determination, the method configures a second datapath pod on the RIC for forwarding traffic between the first set of base station components and the first set of RAN applications. The method assigns a first subset of the first set base station components to the first datapath pod and a second subset of the first set of base station components to the second datapath pod.

The invention relates to the technical field of AUVs (Autonomous Underwater Vehicles), in particular to a real-time communication and positioning data fusion processing method for AUV (Autonomous Underwater Vehicle) collaborative operation, which comprises the following steps of: deploying a multi-modal sensor, acquiring communication data, kinematics data, acoustic positioning data and visual data required by an AUV, and preprocessing the data; the method comprises the following steps: fusing multi-modal data by using an extended Kalman filtering algorithm, calculating three-dimensional position and attitude information of the AUV in real time, carrying out dynamic path planning by using an ant colony optimization algorithm based on fused positioning data, optimizing a collaborative operation path between the AUVs, and sharing the positioning data and a path planning result in real time through an underwater communication network. And dynamically adjusting a task allocation strategy by using an improved task allocation algorithm, optimizing the cooperation efficiency, and finally, storing all data, path planning records and task allocation schemes in a database. According to the invention, the accuracy and stability of AUV collaborative operation are improved.

Systems and methods for efficient convolution based on matrix multiply and add (MMA) are described. An example processor having a plurality of processing lanes is configured to perform convolution of a matrix of activation elements and a filter matrix in accordance with a configurable series of instructions including a plurality of MMA instructions and shift instructions while reusing activation elements already loaded to the datapath or associated memory over a plurality of MMA operations. Associated methods are also described.

The invention discloses a computing platform management system based on artificial intelligence, particularly relates to the technical field of distributed storage resource dynamic allocation, and is used for solving the problem of resource allocation oscillation caused by hardware performance difference and dynamic attenuation in the prior art. Acquiring the hardware performance, the load state and the data path of the storage node through a real-time acquisition module; the entropy judgment module calculates a path topology entropy and triggers a reconstruction instruction; the resonance analysis module analyzes the group association strength of hardware performance degradation and marks a resonance node group; the weight generation module fuses the parameters to generate a dynamic allocation weight; the error compensation module optimizes a weight coefficient in combination with historical error data; the migration execution module executes migration according to the weight and limits the load of the resonance node; through cooperative regulation and control of topological entropy monitoring and hardware resonance analysis, local oscillation diffusion is inhibited, unnecessary migration operation is reduced, system stability is improved, and the service life of hardware is prolonged.

The invention discloses mixed precision multiply-add operation hardware, which comprises an input processing unit used for obtaining standard symbols, standard indexes and standard mantissas according to a pre-configured input format and unpacked input multiply-add operation factors, and obtaining input and output special value detection results; the floating point multiplier-adder is used for calculating an operation result after the operand multiplies the scaling factor and the offset is accumulated according to the symbol, the exponent and the mantissa of each multiplication-addition operation factor; and the output processing unit is used for obtaining a target format result according to a pre-configured output format, a rounding type and a normalization and rounding operation result, packaging the target format result according to a detection result and outputting the target format result, and by multiplexing a data path of the floating-point multiplier-adder, the chip area is saved, format conversion is integrated, a data stream is simplified, and the data processing efficiency is improved. The requirements for automatic reconstruction of the multiply-add operation unit according to input and output formats and quantization and inverse quantization of floating points and integers are met, and the reuse rate of computing resources is increased.

The invention relates to the technical field of digital marketing, and discloses an omni-channel marketing funnel intelligent attribution model and an automatic budget distribution system, and the model comprises a data collection module which is used for collecting data through a contact recording device and a user identification device which are disposed at a marketing terminal, and a behavior tracking device and a channel classification device which are disposed at a user side. Acquiring information such as multi-channel marketing contact interaction data, user behavior data and channel types; the path analysis module realizes data path analysis through time sequence synchronization of a time alignment unit, feature matching of a path association unit and dynamic adjustment of a computing power scheduling unit; the attribution calculation module generates the conversion attribution weight of each channel based on the matching data; and the budget mapping module establishes a dynamic mapping relationship between the weight and the budget and updates the dynamic mapping relationship. The system outputs the attribution result through the model application module, and the budget execution module distributes the budget according to the dynamic mapping, so that the channel contribution can be accurately evaluated, the scientific distribution of the marketing budget is realized, and the marketing efficiency and the rate of return on investment are improved.

Vector-scaled hierarchical codebook quantization reduces precision (bitwidth) vectors of parameters and may enable energy-efficient acceleration of deep neural networks. A vector (block array) comprises one or more parameters within a single dimension of a multi-dimensional tensor (or kernel). For example, block array comprises 4 sub-vectors (blocks) and each sub-vector comprises 8 parameters. The parameters may be represented in integer, floating-point, or any other suitable format. A vector cluster quantization technique is used to quantize blocks of parameters in real-time. Hardware circuitry within a datapath identifies an optimal codebook of a plurality of codebooks for quantizing each block of parameters and the block is encoded using the identified codebook. During processing, the identified codebook is used to obtain the quantized parameter and perform computations at the reduced precision.

An FPGA-based accelerator for bootstrappable fully homomorphic encryption (FHE) employs (1) acceleration of scalar arithmetic operations using a multi-word approach for efficient utilization of standard-width components (multipliers / adders) on custom-width operands; (2) a performant, shift-based modular reduction technique that avoids the need for expensive multipliers; (3) an improved datapath for an expensive Key Switch operation; and (4) an efficient organization of on-chip memory for storing custom-width operands and supplying them at high bandwidth to computation units.

Methods, systems, and devices for data management are described. A data management system (DMS) may obtain metadata associated with a snapshot stored by the DMS and including information associated with data paths in the snapshot. The DMS may scan an index registry for identifiers of the data paths to determine whether the index registry includes namespace and hierarchical index information that map the data paths to path identifiers and to descendent data paths within the snapshot, respectively. The DMS may generate term and count index information based on the metadata. The term and count index information may map terms to data paths that include the terms and numerical values associated with the terms, respectively. The DMS may store, in the index registry, the term and count index information with an identifier of a corresponding index group. The namespace and hierarchical index information may be common to multiple index groups.

The invention belongs to the field of eye movement data tracking, particularly relates to a pilot eye movement tracking method, system and equipment based on multi-camera fusion and a storage medium, and aims to solve the problems that in the prior art, the visual angle of a traditional eye tracker is limited, and sight estimation errors are caused by head movement. The method comprises the following steps of: constructing a multi-view visual perception network by deploying multiple cameras and eye trackers in a cockpit; multi-source data space-time alignment is achieved through space coordinate system mapping and time synchronization, and head motion errors are compensated by combining dynamic cutting of eye interested areas and three-dimensional head posture estimation. The geometric path generates a physical driving vector based on iris fitting and an eyeball model, and the data path regresses the vector through a deep learning model; and converting to a world coordinate system through a head posture after fusion. High-precision data of the eye tracker is preferentially adopted in the central area, and field-of-view data of the system is expanded in the edge area. According to the invention, the tracking precision under field angle coverage and motion interference is obviously improved.

A method for performing an application migration operation, the method includes initiating the application migration operation to migrate an application from a source device to a target device, where the source device includes a source data migration agent and the target device includes a target data migration agent. The method also includes initiating an active scan. Further, the method includes establishing a secure data path between the source device and the target device. Moreover, the method includes making a first determination, using the active scan, that the network traffic or the source performance metrics are indicative of suspicious activity and logging information about the suspicious activity. The method also includes making a second determination that the application migration operation is complete and terminating the active scan and the secure data path based on the second determination.

The invention provides a data consanguinity traceability analysis method based on a power grid data center. The method comprises the steps that an execution log is generated and collected based on Hive and YARN, a plurality of SQL statements are obtained based on the execution log, AST trees are constructed based on the SQL statements respectively, and a data consanguinity mapping relation and data node information are obtained based on the AST trees; and combining the same data nodes in the plurality of SQL statements based on an information entropy data alignment method, converting the data consanguinity mapping relation and the data nodes into a data consanguinity map based on Neo4j, and performing data path tracing on the data consanguinity map based on breadth-first search and an A * algorithm. Through the technical scheme of the invention, the occurrence position of problem data can be quickly and accurately positioned, the whole process of power grid data from acquisition, transmission, storage to analysis is transparent and traceable, and the requirements of enterprises for timeliness and reliability of data service in data are met.

The invention relates to the technical field of financial knowledge maps, in particular to a large language model-based data structure adaptive visualization method, which comprises the following steps of: acquiring internal quantitative data and external unstructured text data of an investment portfolio; processing the quantized data and the text data by using a large language model, constructing a dynamic financial knowledge graph, and updating a risk conduction weight between entities in the dynamic knowledge graph in real time by using a causal event extracted from the text data; receiving a risk impact hypothesis input by a user, and performing prospective simulation based on the dynamic financial knowledge graph and the risk impact hypothesis to generate a plurality of synthetic risk data paths; generating a visual result based on the plurality of synthetic risk data paths; and in response to the selection of the user on the specific simulation result on the visual result, executing anti-fact analysis, and generating an attribution report containing the contribution degree, so that the interactive risk simulation and automatic attribution analysis of the visual result are realized.

The invention relates to a retiming circuit applied to an ultra-high-speed and high-precision DAC (Digital-to-Analog Converter), which comprises an alignment module, a cross point adjusting module, a coding module, a phase detection module and a digital module, the coding module is connected with the alignment module, the phase detection module is connected with the cross point adjusting module and the coding module, and the digital module is connected with the phase detection module and the alignment module. According to the circuit structure provided by the invention, the sampling clock can be accurately aligned to the center of a data eye pattern, so that the delay difference between a clock tree and a data path caused by process deviation and the like is effectively reduced, the high-frequency spurious suppression performance is improved by eliminating nonlinear distortion caused by time sequence errors, the SFDR is greatly improved, and compared with a traditional scheme, the SNR is effectively improved.

A networking device in a HA configuration processes network flows for a VNIC. Network configurations include networking policies that govern network packet processing by the networking device. Global epoch values are associated with each version of the network configuration. The networking device has a control plane, a data plane, and a flow table. The control plane uses the most recent network configuration to produce flow table entries to be stored in the flow table and the data plane uses the flow table entries to process network packets. Flow table entries include flow epoch values that match the global epoch value associated with the network configurations used to create the flow entries. A datapath epoch value, a VNIC peer epoch value, and a VNIC local epoch value are associated with each VNIC. The various epoch values are used to ensure consistent flow table entries among the peers in the HA configuration.

An optical measurement system may improve the accuracy with which it estimates distances to surrounding objects by upgrading various aspects of its data path. Spatial resolution may be increased by subdividing histogram buckets or integration registers based on spatial location. Saturation at any point in the data path can be detected and used to stop counting photons in individual pixels, which can then be normalized after a measurement is over. Multiple peaks can be detected using recursive or iterative techniques to identify a largest remaining peak at each stage. Instead of iterating through the histogram memory multiple times, a threshold can be pre-calculated based on an estimated ambient noise level, and peaks can be detected in a single pass.

A system and method in a building or vehicle for an actuator operation in response to a sensor according to a control logic, the system comprising a router or a gateway communicating with a device associated with the sensor and a device associated with the actuator over in-building or in-vehicle networks, and an external Internet-connected control server associated with the control logic implementing a PID closed linear control loop and communicating with the router over external network for controlling the in-building or in-vehicle phenomenon. The sensor may be a microphone or a camera, and the system may include voice or image processing as part of the control logic. A redundancy is used by using multiple sensors or actuators, or by using multiple data paths over the building or vehicle internal or external communication. The networks may be wired or wireless, and may be BAN, PAN, LAN, WAN, or home networks.

A direct memory access (DMA) system includes a read request circuit configured to receive read requests from a plurality of client circuits. The DMA system includes a response reassembly circuit configured to reorder read completion data received from a plurality of different hosts in response to the read requests. The DMA system includes a read scheduler circuit configured to schedule conveyance of the read completion data from the response reassembly circuit to the plurality of client circuits. The DMA system includes a data pipeline circuit implementing a plurality of data paths coupled to respective ones of the plurality of client circuits for conveying the read completion data as scheduled by the read scheduler circuit.

Disclosed are systems, apparatuses, methods, and computer-readable media for machine learning of data path rules for gateway services. A method includes: receiving a command related to a configuration of a firewall of a gateway; obtaining a subset of rules from a collection of rules to apply to a second instance of the firewall that replaces a first instance of the firewall, wherein the collection of rules are expressly associated with the firewall of the gateway; loading the subset of rules and the second instance of the firewall; and when the first instance is available after loading the subset of rules, processing network traffic of the gateway based on the subset of rules

The invention relates to the field of numerical control machining center control, in particular to a control system and method suitable for a five-axis machining center, and the system comprises a data input module, a path planning module, a data processing module, a data processing module and a control module, the motion path generating module is used for generating a motion path of a cutter according to the geometrical shape and process requirements of a machined part, the motion control module is used for controlling motion of all axes in real time, the interference detection module is used for adjusting the path or posture of the cutter according to a detection result, and the feedback control module is used for collecting state data in the machining process through all sensors. And real-time adjustment and error compensation are carried out on the machining process according to the data, so that the problems of poor machining precision and relatively low working efficiency due to the fact that a machining tool path needs to be manually demonstrated during operation of the five-axis machining center at the present stage and parameters such as tool compensation, feeding amount and cutting speed need to be manually input according to a tool model are solved.

Disclosed herein are methods and systems to generate code for a workflow. A non-limiting example of a method comprises executing, by a processor, a large language model, which receives an input of an intent associated with a workflow and provides a machine-readable description by: identifying, by searching a hierarchical data structure using a vector embedding associated with the intent, an object corresponding to the intent; identifying a set of data paths within the hierarchical data structure to retrieve the identified object; and generating the machine-readable description, the machine-readable description describing the object and at least one data path within the set of data paths; and generating, by the processor, code for the workflow using the machine-readable description.

Embodiments of the invention provide a tree form data processing method and apparatus, an electronic device and a readable storage medium. The method comprises the steps of determining selected information corresponding to a selected instruction; monitoring a dragging action of a mouse cursor, predicting a real-time terminal point position of the model through a dragging terminal point, and dynamically rendering a visual prompt layer at the same time; when monitoring that the dragging action is a stop action, determining the placed data and obtaining a data path, and when the data type of the to-be-dragged data is a combination type, obtaining a data set of a to-be-dragged combination where the to-be-dragged data is located and an index position where first data in the to-be-dragged combination is located, assigning the index position to a tail end index in a data path of the data to be dragged; and traversing data elements adjacent to the placed data in the data path of the placed data to update the key value distribution. According to the method, the defect of performance optimization in the process of executing the dragging action by the preset tree form is effectively solved, and the experience feeling in the process of operating the preset tree form by a user is remarkably improved.

An example method for verifying data integrity in a storage system includes detecting a data access operation that processes data via a data path between a client and a storage device of the storage system, the data path including at least a first and a second processing stage; generating, based on the data access operation, a first instance of a first checksum at a first time based on a first intermediate representation of the data; generating, a second instance of the first checksum at a second time; modifying, based on the second checksum being different from the first checksum, the first intermediate representation to generate a corrected first intermediate representation; generating, based on the corrected first intermediate representation, a third checksum; and directing, based on verifying that the third checksum matches the first checksum, the second processing stage to generate the second intermediate representation.

The invention relates to the technical field of factory intelligent inspection, and discloses a distributed factory intelligent inspection path dynamic planning and fault linkage processing system. The system comprises four core modules, namely a partition monitoring module, a path planning module, a fault analysis module and a linkage execution module. The subarea monitoring module obtains current operation data of each production area and provides basic data for a subsequent process; the path planning module generates an initial inspection path, breaks through the limitation of a traditional fixed path, and optimizes the distribution of inspection resources. The fault analysis module calculates a path deviation value according to the real-time operation state data of the path nodes, and captures node state changes to identify fault risks; and the linkage execution module triggers the linkage processing instruction of the corresponding area according to the deviation value, thereby reducing information transmission links and realizing rapid fault response. The system forms a complete closed loop of data monitoring, path planning, deviation analysis and linkage processing, and ensures the production stability and safety of distributed factories.

Systems and methods are provided for customized grouping of end user devices using a new group identifier tag (GIT) in addition to role-based access (e.g., administrator or guest) and device identifier access (e.g., IP or MAC address). Two components may be implemented at a network access device, including a data plane component and a control plane component. For example, the control plane component may authenticate an end user device, store the MAC and IP addresses for authenticated end user devices, and define access roles for the end user device in the datapath. The data plane component may perform packet processing (e.g., forwarding and policy enforcement) pursuant to previously-defined rules. Whenever a packet arrives at the Network Access Device, the packet is forwarded according to the rules specified by the “role” and GIT present in the entry, allowing for improved processing and scalability of network traffic processing.

A system and method in a building or vehicle for an actuator operation in response to a sensor according to a control logic, the system comprising a router or a gateway communicating with a device associated with the sensor and a device associated with the actuator over in-building or in-vehicle networks, and an external Internet-connected control server associated with the control logic implementing a PID closed linear control loop and communicating with the router over external network for controlling the in-building or in-vehicle phenomenon. The sensor may be a microphone or a camera, and the system may include voice or image processing as part of the control logic. A redundancy is used by using multiple sensors or actuators, or by using multiple data paths over the building or vehicle internal or external communication. The networks may be wired or wireless, and may be BAN, PAN, LAN, WAN, or home networks.