24814results about "Digital data processing details" patented technology

The invention discloses a processor and electronic equipment. The processor includes a computing unit including a tensor core configured to perform a matrix multiplication operation using a scaling factor, and a memory, the computing unit further including a scaling factor processing module configured to determine and cache a scaling factor for each tensor associated with the matrix multiplication operation, the computing unit further comprises at least one storage module arranged on a data path between the tensor core and the memory, and the at least one storage module is exclusively occupied by the tensor core when the tensor core executes tensor related operation. And the scaling factor processing module is arranged on the at least one storage module. At present, scaling factors and floating-point number quantization are completed by a vector calculation core, so that performance is reduced, and delay becomes high, and a scaling factor processing module arranged on a storage module in a calculation unit can improve the overall execution efficiency of low-precision matrix multiplication using the scaling factors.

An electric power assisted steering assembly comprises a steering mechanism which operatively connects a steering wheel to the roadwheels of a vehicle, a torque sensing means adapted to produce a first output signal indicative of the torque carried by a portion of the steering mechanism, a means for producing a second output signal indicative from a signal indicative of the angular velocity of the portion of the steering mechanism, an electric motor operatively connected to the steering mechanism, a signal processing unit adapted to receive the two output signals and to produce therefrom an overall torque demand signal representative of a torque to be applied to the steering mechanism by the motor, and a motor drive stage adapted to provide a drive current to the motor responsive to the torque demand signal. The overall torque demand signal includes a damping component that is dependent upon the second output signal. The means for producing the yaw damping component includes a filter having one pole and one zero, and in use the second signal is passed through the filter to produce the damping component, the frequency of the pole and zero being selected such that the filter provides a band between the pole and zero within which the phase of the filtered second signal and the velocity signal are further out of phase or in phase than within the band.

The invention discloses a server heat dissipation device and a heat dissipation control method.The surface of a server mainboard is divided into a core heat dissipation area, a transition heat dissipation area and an edge heat dissipation area, and the method comprises the steps that real-time temperature data of all the areas are synchronously collected through a temperature detection module; constructing a three-dimensional temperature field distribution map containing temperature gradient and heat flow direction; then thermodynamic parameter calculation is carried out, temperature time sequence change characteristics of all the partitions are extracted, and a thermal diffusion path in a future set time period is predicted by fusing the temperature time sequence change characteristics and the thermodynamic parameters; a control instruction set is generated according to the predicted thermal diffusion path, the actual heat dissipation response is monitored through an acoustic sensor in the execution process, monitoring data and the predicted thermal diffusion path are dynamically compared, and control parameters of the control instruction set are updated till all the partitions reach the target temperature threshold value; and the sudden temperature change is pre-judged, the hot spot elimination response time is shortened, and the collaborative breakthrough of the heat dissipation efficiency and the energy consumption control of the high-density server cluster is realized.

The invention discloses a control method and device for heat dissipation equipment, and relates to the technical field of computers, and the method comprises the steps: employing a load dynamic perception and prediction model cooperative control technology, building a dynamic correlation model of a load and heat dissipation, and achieving the mode upgrade of a heat dissipation system from lagging regulation to advanced response. A control instruction is generated by predicting a load change trend in real time, and a dual-mode protection mechanism is combined, so that energy efficiency loss caused by traditional temperature control delay is avoided, system stability and energy efficiency performance are optimized, an efficient and energy-saving active heat dissipation solution is provided for high-load equipment, and the service life of the system is prolonged. The problems of low control efficiency of the heat dissipation equipment and energy efficiency loss caused by delayed adjustment in related technologies are solved, and the technical effects of improving the control efficiency of the heat dissipation equipment and reducing energy consumption are achieved.

The invention discloses a server mainboard regional distributed liquid cooling heat exchange adjusting method, which comprises the following steps of: acquiring a temperature parameter set and a power consumption parameter set of each monitoring region in real time, and generating a thermal load parameter feature vector; identifying a high heat load core area set according to the heat load parameter feature vector; generating a liquid cooling branch flow distribution instruction set based on the position distribution of the high heat load core area set; executing the liquid cooling branch flow distribution instruction set, and obtaining an adjusted temperature feedback parameter set; according to the deviation degree of the temperature feedback parameter set and the target temperature interval, dynamic feedback adjustment is carried out by applying the heat conduction compensation coefficient and the fluid viscosity-temperature compensation coefficient, and an updated liquid cooling branch flow distribution instruction set is generated. The method has the following advantages and effects that by sensing the thermal load space distribution characteristics of all areas of the mainboard in real time, cooling flow distribution is dynamically adapted, real-time compensation of the fluid viscosity-temperature effect is integrated, local hot spots are eliminated, and the heat dissipation effect is improved.

A centrally managed system for tuning a plurality of enhanced node-based logistics receptacles includes a backend server, a first enhanced node-based logistics receptacles, and a second node-based logistics receptacles. The backend server transmits a first setup message to a first bridge node, transmits a second setup message to a second bridge node, receives retrieved first event information from the first bridge node and retrieved second event information from the second bridge node, compares the retrieved first event information with a management profile and compares the retrieved second event information with the management profile, revises the management profile based upon the comparison of the retrieved first event information with the management profile and the comparison of the retrieved second event information with the management profile, and transmits an adjustment message that is based upon the revised management profile to the first bridge node.

A mini-computer stand for use with a mini-computer, the mini-computer having a means for activation on a bottom side, the mini-computer stand including a top configured to accept the mini-computer; and a perimeter that substantially follows a perimeter of the mini-computer; wherein the mini-computer stand further comprises a cutaway positioned to expose the means for activation.

An enhanced connected logistics receptacle system that selectively retrieves and reports event information to a backend server to initiate a dispatched logistics operation related to a delivery item. The system includes a storage receptacle for receiving the delivery item, a bridge node mounted to the storage receptacle, and a wireless accessory sensor node coupled to a plurality of sensors. The wireless accessory sensor node is operative to detect a change in state of the storage receptacle based upon sensor data, record timestamped information reflecting the detected change in state, and broadcast an updated advertising signal having a data available flag set within the updated advertising signal. The bridge node processor is operative to detect the data available flag, selectively retrieve event information from the wireless accessory sensor node, and transmit the retrieved event information to the backend server to cause the backend server to initiate the dispatched logistics operation.

An apparatus providing tensor core matrix multiplication and accumulation (MMA) with hardware-based statistics collection and outlier suppression is disclosed. The apparatus includes processor circuitry comprising at least one processor core comprising matrix multiplication circuitry to: execute a matrix multiplication operation on first input data from a first set of registers and on second input data from a second set of registers; collect, as part of executing the matrix multiplication operation via statistics collection hardware circuitry of the matrix multiplication circuitry, output statistics data corresponding to the matrix multiplication operation; and output the output statistics data along with a result of the matrix multiplication operation; and output statistics storage to store the output statistics data.

Disclosed in the present application are a server, and an aerodynamic-noise and heat-dissipation optimization control system therefor. The system comprises a heat dissipation fan, a temperature measurement module, a noise measurement module, a power consumption measurement module, a controller and a phase-change air guide cover, wherein the aerodynamic area of the heat dissipation fan is adjustable; the temperature measurement module is used for measuring the temperature of a case; the noise measurement module is used for measuring the noise inside the case; the power consumption measurement module is used for acquiring a load requirement of a program currently running in a server; and the controller is used for adjusting the working condition of the heat dissipation fan, analyzing the lowest operating power of each server assembly on the basis of the load requirement when internal noise reaches a preset threshold value, and adjusting the current power of each server assembly on the basis of the lowest operating power. The phase-change air guide cover is used for guiding air and absorbing heat by means of a phase-change material.

Provided in the present disclosure are a data processor, a data processing method, an electronic device and a non-transitory computer-readable storage medium. The data processor comprises a tensor operation unit and N compute units, wherein the tensor operation unit is configured to execute tensor computation on input data, so as to obtain tensor computation results; and the N compute units are configured to execute at least one of a vector operation of the tensor computation results and the generation of input data, wherein first data transmission channels are provided between the tensor operation unit and at least some compute units among the N compute units, and the first data transmission channels are used for directly providing the tensor computation results to the compute units, and directly providing the input data from the compute units to the tensor operation unit. By means of the data processor, access to a global memory can be reduced, the waste of resources is reduced, the data transmission delay is shortened, the overall efficiency of operators is significantly improved, the strong computing power of a tensor operation unit itself is effectively used, and the computation efficiency of the data processor is improved.

The invention discloses a data processing system and method, electronic equipment and a storage medium, and relates to the technical field of computers.Original input data are preprocessed into multiple sets of target input data through a data input module, and the multiple sets of target input data are input into multiple iterative calculation units to obtain data to be calculated and code identifiers; when the code identifier represents that the to-be-calculated data needs to be overturned in advance, the to-be-calculated data is overturned in advance to obtain the to-be-calculated inverted data, and a subsequent iterative calculation unit only needs to perform target calculation on the to-be-calculated inverted data to obtain a data processing result; that is, the iterative calculation unit can obtain the data processing result only by performing a small amount of data bit flipping on the to-be-calculated inverted data through the target calculation, the number of data bit flipping in the target calculation is reduced, the dynamic flipping power consumption is reduced, and compared with a power consumption reduction mode in the related technology, the efficiency is improved. High-difficulty chip rear end layout wiring is not needed, and the performance and the power consumption reduction effect of the chip can be ensured.

The invention discloses a dynamic flow control method for a two-phase cold plate liquid cooling system based on multi-modal sensing, and relates to the technical field of equipment cooling. Comprising the following steps: S1, collecting liquid cooling monitoring data in real time, and performing data preprocessing; s2, judging the state risk of the cold plate, carrying out signal cross validation, and taking an abnormal regulation and control measure; s3, cooling liquid flow regulation and control are carried out, and the matching degree of flow regulation and control and chip thermal load is evaluated, so that flow regulation and control correction is carried out; and S4, constructing a big data modeling and simulation feedback platform, evaluating a flow regulation and control self-healing effect, optimizing each parameter and strategy, and carrying out self-learning evolution. The problems that an existing two-phase cold plate liquid cooling system generally only depends on a single temperature signal, lacks a multi-source redundancy check mechanism, has the problems of response lag, weak local reflection capacity, high risk during failure and the like, consequently, the cooling capacity distribution and adjustment precision is insufficient, and the actual requirement of a high-heat-density data center for heat dissipation is difficult to meet are solved.

A cooling system running method includes obtaining an open source data set of a cooling system including components each being configured with parameter(s). The open source data set includes a parameter value corresponding to each parameter, and the parameter(s) configured for one component include a controllable running parameter. The method further includes determining an initial model for predicting power consumption of the cooling system, selecting a target algorithm using an open toolbox, training the initial model using the open source data set and the target algorithm to obtain a target model, deploying the target model to a controller of the cooling system, and causing the controller to at least control operation of the one component according to a parameter value corresponding to the controllable running parameter that is defined in a power consumption optimization policy determined by the controller using the target model.

A rotation connection mechanism includes a first plate, a second plate, a control structure, and a torsion structure. The control structure is configured to control the first plate and the second plate to switch between a first relative position and a second relative position. The first plate and the second plate are at the first relative position, and the first plate and the second plate form a plate. The first plate and the second plate are at the second relative position, and the first plate faces the second plate to have a target angle. The torsion structure is configured to provide torsion support at the first relative position and the second relative position, and provide a force for the control structure to control the first plate and the second plate to switch between the first relative position and the second relative position under an external force.

A hinge, a display panel, and an electronic device are provided. The display panel includes a flexible display panel body and the hinge. The flexible display panel body includes a flexible portion, a first portion, and a second portion. The hinge includes a fixed bracket, a support mechanism, and a rotary mechanism. The support mechanism includes a first support member, a second support member, a third support member, and a fourth support member. The rotary mechanism includes a first connection member, a second connection member, a third connection member, and a fourth connection member.

The invention discloses an AI computing power equipment intelligent energy consumption management system and method based on big data, and relates to the technical field of data center energy consumption management, the method comprises the following steps: obtaining real-time operation data of AI computing power equipment, the real-time operation data comprising load characteristic parameters, energy consumption characteristic parameters, environment characteristic parameters and equipment state parameters; obtaining a load discrimination value according to the load characteristic parameter; obtaining an energy consumption discriminant value according to the energy consumption characteristic parameters; acquiring an environment discrimination value according to the environment characteristic parameters; acquiring a state discrimination value according to the equipment state parameter; fusing the load discriminant value, the energy consumption discriminant value, the environment discriminant value and the state discriminant value to generate a comprehensive energy efficiency index; judging whether the comprehensive energy efficiency index exceeds a preset dual-threshold decision interval or not; if the upper limit threshold value is exceeded, triggering graded consumption reduction response, including dynamic frequency modulation, task migration or equipment dormancy; and if so, determining that the current operation mode is in a high-energy-efficiency state and maintaining the current operation mode.

The invention relates to the field of energy-saving computing, and discloses a low-power-consumption control method and system of a controller, which are used for realizing prediction-sleep-wake-up-response full-link hardware in the controller. Time sequence state data of a controlled object is collected in real time, and a predictive sleep window value is dynamically generated by utilizing a predictive cooperative computing unit, so that intelligent scheduling of sleep and awakening is realized, and the power consumption of a controller is effectively reduced. Meanwhile, in combination with the technologies of threshold comparison, DMA data transmission optimization and the like, the data processing efficiency is improved, and invalid data transmission is reduced. And on the awakening mechanism, an asynchronous awakening circuit and an interrupt request mechanism are adopted to ensure that power supply is quickly recovered and control response is executed when an effective instruction is received, so that the real-time performance of the system is guaranteed. According to the invention, a prediction algorithm, hardware acceleration and an intelligent scheduling technology are fused, the performance of the controller is ensured, the power consumption is obviously reduced, and the endurance time of equipment is prolonged.

The invention discloses a fan control method and device, and relates to the technical field of heat dissipation, and the method comprises the steps: partitioning and numbering a hard disk region, enabling each hard disk to correspond to a fan according to a corresponding number, obtaining the obtaining temperature of a hard disk backboard and hard disk information through a master control node or a slave control node, and dynamically calculating fan control parameters, the heat dissipation efficiency of the server is improved, and the problems that in the related technology, the rotating speed of the fan is controlled only depending on the single temperature sensor parameter and the fan parameter, server fan redundancy control cannot be achieved when the node breaks down, and the reliability of the server is poor are solved. The technical problem that the heat dissipation efficiency and flexibility are poor in the prior art is solved, and the technical effect that the heat dissipation efficiency of the double-control high-density server is effectively improved by dynamically adjusting the rotating speed of the fan according to the working state, the read-write rate and the real-time temperature of the hard disk and achieving partition control is achieved.

The invention provides a mixed data precision matrix multiplication and addition unit and a calculation method, the matrix multiplication and addition unit comprises a calculation unit, and the calculation unit comprises a format division module, a multiplication array module, an addition tree module, an accumulator module, a normalization module and a shift register module. The calculation unit converts the first input matrix and the second input matrix into input data in a middle floating point format; executing parallel multiplication operation on the input data to generate an intermediate product result; performing index alignment and accumulation on the intermediate product result to generate an intermediate accumulated value; accumulating the intermediate product result and the value of the third input matrix in a form of accumulating an intermediate accumulated value, and outputting an accumulated result; and converting an accumulation result into a normalized result and outputting the normalized result. The format division module supports various precisions and converts data with different widths into an intermediate floating point format, so that other hardware units can be reused, and the problems that hardware resources are complex and different model reasoning scenes are difficult to meet are solved.

A rotating shaft assembly and an electronic device, where the rotating shaft assembly includes a panel and a rotatable support mechanism. The rotatable support mechanism includes a swing arm, a fixed structure, a limit part, and a support structure. The support structure is provided with a mounting plane, and the panel is fastened to the mounting plane; a first limit portion is formed on the swing arm; and the limit part is connected to the support structure, and a second limit portion is formed on the limit part. When the screen is in a folded state, the limit part is separated from the swing arm. When the screen is in an unfolded state, the second limit portion of the limit part can abut against the first limit portion of the swing arm, thereby implementing mutual constraint between the swing arm and the support structure.

The present invention relates to an aperture unit having an optical axis. The aperture unit includes a fixed portion, a guiding element, a first blade and a driving assembly. The guiding element is movably connected to the fixed portion, and the first blade is movably connected to the guiding element and the fixed portion. The driving assembly is disposed on the guiding element for driving the guiding element to move relative to the fixed portion in a first moving dimension. When the guiding element moves relative to the fixed portion in the first moving dimension, the first blade is driven by the guiding element to move relative to the fixed portion in a second moving dimension, and the first moving dimension and the second moving dimension are different.

An illustrative method includes accessing, by a data platform configured to monitor a compute environment, permissions data representative of a set of permissions that specify how an entity is entitled to interact with resources within the compute environment; collecting, by the data platform, runtime workload data representative of an actual interaction by the entity with the resources over a period of time; and performing, by the data platform based on the runtime workload data, an operation associated with modifying the set of permissions for the entity.

The invention discloses a tensor core, a processor, a data processing method, electronic equipment and a storage medium, and is applied to the field of tensor processing. The tensor kernel comprises a first dot multiplication unit and a scaling factor matrix multiplication processing module, the scaling factor matrix multiplication processing module comprises a second dot multiplication unit, and the first dot multiplication unit and the second dot multiplication unit support dot multiplication operations of different floating-point number precisions. The tensor core is configured to receive a first tensor, a second tensor, a scaling factor of the first tensor, a scaling factor of the second tensor, an offset term of the first tensor, and an offset term of the second tensor, perform a matrix multiplication operation using the scaling factor and the offset term using a first dot multiplication unit and a scaling factor matrix multiplication processing module, and obtaining a matrix multiplication operation result of the first tensor and the second tensor. Matrix multiplication operation using scaling factors is executed by multiplexing dot multiplication units with different precisions in a tensor kernel, extra hardware area cost is reduced, and existing hardware resources are fully multiplexed.

The invention belongs to the technical field of intelligent hardware control methods, and discloses a low-power-consumption intelligent hardware control method which comprises the following steps: acquiring working state parameters and user interaction information of intelligent hardware, and generating an equipment state feature vector; judging whether a dormancy condition is met or not according to the equipment state feature vector; when the sleep condition is satisfied, sending a network communication agent instruction; the coprocessor configures an internal timer and awakens signal output after receiving the instruction; the master control stores a system operation state, configures a wake-up source and then enters a deep sleep state; the coprocessor cuts off the power supply of the inactive module; when a timer of the coprocessor reaches a preset network heartbeat cycle, a wake-up signal is sent to the master controller; and the master control recovers the system state, updates the feature vector and re-decides whether to sleep or not. And through multi-dimensional state perception and a master-slave cooperation architecture, and through refined power management and a dynamic reevaluation mechanism, the equipment power consumption is obviously reduced on the premise of ensuring the user experience.