46 results about "Computer performance" patented technology

In some aspects, a cloud-based computer system includes: a quantum computing system comprising a quantum processing unit; a container management and execution system configured to receive a container and execute a program within the container; and a communication channel between the container management and execution system and the quantum computing system for providing program instructions to the quantum computing system. The container management and execution system and the quantum computer system may be co-located in a data center or located in different data centers. The latency of the communication channel may be selected to optimize cost for a required computer performance.

Estimated and actual processor runtimes improve computer functioning in fairly sharing computing resources. Today's computers and cloud-based services serve many users and many software applications sharing CPU resources. An operating system thus implements a scheduling policy that fairly allocates CPU time. A scheduler thread implements the scheduling policy based on estimated processor runtimes, and actual processor runtimes, associated with tasks. The operating system may maintain running tallies or totals for a user / group / organization based on credits (e.g., the estimated processor runtimes) and / or on penalties (e.g., the actual processor runtimes). The scheduler thread may select tasks for worker threads based on the credits and / or the penalties, thus ensuring that no user / group / organization unfairly consumes CPU time.

The invention relates to a model rendering method, a surgery simulation method and a computer readable storage medium, and the method comprises the steps: responding to the interaction between a user and a data model, and determining a user attention region in the data model, the data model comprising voxel data and grid data associated with a preset region of interest; and rendering at least one part of the data model based on the voxel data and the grid data according to the user attention area to obtain a target rendering result. By adopting the method, the reality sense of operation simulation can be improved, and meanwhile, the computer performance requirement required by operation simulation is reduced.

Photonic interposers that enable low-power, high-bandwidth inter-chip (e.g., board-level and / or rack-level) as well as intra-chip communication are described. Described herein are techniques, architectures and processes that improve upon the performance of conventional computers. Some embodiments provide photonic interposers that use photonic tiles, where each tile includes programmable photonic circuits that can be programmed based on the needs of a particular computer architecture. Some tiles are instantiations of a common template tile that are stitched together in a 1D or a 2D arrangement. Some embodiments described herein provide a programmable physical network designed to connect pairs of tiles together with photonic links.

The application belongs to the technical field of computer control, and discloses a notebook computer intelligent heat dissipation control system based on a multi-modal sensor, which comprises the following steps: collecting multi-modal thermal sensing data of a notebook computer; identifying a current running scene type and obtaining user heat dissipation preferences based on the multi-modal thermal sensing data; calculating a thermal trend index of each hardware component of the notebook computer according to historical multi-modal thermal sensing data and the current running scene type; generating a heat dissipation regulation scheme with scene adaptability based on the thermal trend index, the current running scene type and the user heat dissipation preferences; and realizing notebook computer intelligent heat dissipation control in a progressive regulation mode according to the heat dissipation regulation scheme, so that the stability of the notebook computer performance is greatly improved and the hardware service life is prolonged.

The embodiment of the invention provides a memory super-division processing method and system, the memory super-division processing method is applied to a host machine, the host machine runs a plurality of virtual machines, and the method comprises the following steps: determining missing page state data of the plurality of virtual machines in a first historical time period; determining performance loss results of the plurality of virtual machines according to the missing page state data; according to historical cold page data of the multiple virtual machines in a second historical time period, predicted cold page data of the multiple virtual machines in the future time period is determined, the duration of the second historical time period is smaller than or equal to that of the first historical time period, and the duration of the second historical time period is the same as that of the future time period; according to the performance loss result and the predicted cold page data, determining memory super-resolution indexes of the plurality of virtual machines in the future time period; according to the method, the page replacement pressure and the address conversion pressure of the virtual machine are reduced, the performance reduction probability of the host machine is reduced, and the stability of the memory and operation of the host machine is improved.

The invention discloses a computer performance real-time evaluation method and device based on user experience perception, a storage medium and computer equipment, and the method comprises the steps: obtaining the current operation data of the computer equipment, carrying out the use scene recognition based on the current operation data, and determining a current use scene; obtaining a plurality of user experience perception performance indexes corresponding to the current use scene and the index weight of each user experience perception performance index in a pre-constructed use scene and user experience perception performance weight mapping table; performing performance index data acquisition on the computer equipment according to each user experience perception performance index, and calculating a comprehensive performance score of the computer equipment according to each acquired user experience perception performance index data and the corresponding index weight; and performing real-time performance feedback of the computer equipment according to the comprehensive performance score.

The invention discloses a game CPU-oriented model identification method and system, and belongs to the technical field of computer performance optimization, and the method comprises the following steps: S1, collecting a real-time performance vector from a CPU core performance monitoring unit; S2, obtaining a predictive load vector from a game engine; s3, adjusting the dynamic learning rate based on the change degree of the predictive load vectors at the current moment and the previous moment; s4, calculating an instantaneous matching degree for each candidate model in a preset candidate CPU micro-architecture model set based on the real-time performance vector, the predictive load vector and a preset reference performance matrix associated with the candidate model; and S5, updating and generating a dynamic confidence score for each candidate model in combination with the confidence, the instantaneous matching degree and the dynamic learning rate of the previous moment, and winning a precious time window for predictive performance optimization of a game engine.

The application belongs to the technical field of computer hardware testing, and discloses a multi-sensor integrated detection dock system for notebook computer performance testing, which comprises a multi-sensor module, a data acquisition and interface module, a main control module and a hardware component. The application has the following remarkable advantages: high integration and improved efficiency; data synchronization precision and improved analysis value; high automation degree and reduction of human error; consistent test conditions and strong result comparability.

This invention discloses a computer performance data acquisition method and system, relating to the field of computer data processing technology. Based on the load prediction value Ldp, the system automatically adjusts its operating rhythm. When the device is under high pressure, the sampling adjustment coefficient Frs is suppressed due to the increase in the acquisition overhead value Coi, thereby dynamically lengthening the sampling interval Del, thus preventing the acquisition behavior from exacerbating congestion. When the device is idle, the processing utilization Cpuu, memory utilization Memu, and thread switching rate Ths remain at low values, and the load prediction value Ldp derived from the trend base value Tbs and the acquisition overhead value Coi is low, causing the sampling interval Del to be actively shortened. This allows for early capture even when the user is not operating but background programs are gradually increasing. Traditional fixed-frequency acquisition methods often fail to identify performance degradation inflection points in a timely manner, while the continuous accumulation of the trend base value Tbs triggers an increase in the sampling frequency at an early stage.

The invention relates to the technical field of computer performance evaluation, and discloses a three-valued optical computer performance and energy consumption balancing method based on partial synchronous vacation, which introduces a partial service desk synchronous vacation strategy and constructs a three-stage service model comprising task input, core calculation and result output. Key performance indexes such as the average queue length and the average waiting time of each stage are obtained, so that the optimal balance point between the performance and the energy consumption is obtained, and a social utility function comprehensively considering the system performance and the energy consumption is constructed by introducing Nash equilibrium and a social optimal strategy; the three-valued optical computer is controlled to be at an optimal balance point between performance and energy consumption through an operation result, so that low energy consumption is ensured while high performance is achieved.

The invention discloses an industrial personal computer performance acquisition method and terminal based on a third-party control, and the method comprises the steps: firstly judging whether a to-be-acquired industrial personal computer is a local terminal or not, and then automatically selecting a mode of direct calling or remote calling based on a secure shell protocol to acquire the performance; and a third-party control interface is uniformly called to realize efficient acquisition of hardware performance of the industrial personal computer, so that an optimal calling path is automatically selected in a local scene and a far-end scene. Compared with a traditional mode of directly reading the system file, the method has the advantages that a Linux kernel file structure does not need to be deeply analyzed; a key pair is configured between a local industrial personal computer and a to-be-acquired industrial personal computer in advance, and cross-industrial-personal-computer and cross-network remote acquisition is realized by using a secure shell protocol SSH, so that the safety and reliability of cross-computer performance data acquisition are improved. In conclusion, the method obviously improves the efficiency, accuracy and maintainability of performance acquisition of the industrial personal computer.

The invention discloses a user-friendly brain-computer interface system, and relates to the technical field of brain-computer interfaces. The system comprises a stimulation presentation module, a signal acquisition module, a signal processing module and a signal decoding module. The stimulus presentation module is used for presenting static color block stimulus at different positions on the display equipment; the signal acquisition module is used for acquiring scalp surface electroencephalogram signals when a user watches a color block; the signal processing module adopts a TRCA algorithm to carry out signal-to-noise ratio enhancement on the electroencephalogram signals, and an electrode channel weight coefficient is obtained by solving a target function; the signal decoding module adopts a Manhattan distance method to describe electroencephalogram signal characteristic differences stimulated by different color blocks. Visual fatigue is remarkably reduced, decoding performance is stable, color combination is visual, and requirements for different control instruction numbers can be flexibly met; static color block stimulation does not need to occupy a large number of computing resources, the high requirement of traditional flicker stimulation for computer performance is met, and the method is suitable for more hardware environments.

Photonic interposers that enable low-power, high-bandwidth inter-chip (e.g., board-level and / or rack-level) as well as intra-chip communication are described. Described herein are techniques, architectures and processes that improve upon the performance of conventional computers. Some embodiments provide photonic interposers that use photonic tiles, where each tile includes programmable photonic circuits that can be programmed based on the needs of a particular computer architecture. Some tiles are instantiations of a common template tile that are stitched together in a 1D or a 2D arrangement. Some embodiments described herein provide a programmable physical network designed to connect pairs of tiles together with photonic links.

The application relates to a CPU performance test method and application under a Conda environment, belongs to the field of computer performance evaluation and optimization, and realizes comprehensive evaluation of CPU performance in combination with LAMMPS and LLCBench tools. The method quickly builds a test platform through the Conda environment, can evaluate the computing performance and parallel processing capability of the CPU by using LAMMPS, and can test the bandwidth and delay characteristics of CPU caches (L1, L2 and L3) through LLCBench. In combination with the two tools, the method realizes comprehensive testing of the computing performance and cache performance of the CPU, has the advantages of high efficiency, repeatability and wide application range, and provides scientific support for hardware performance evaluation and optimization.

Photonic interposers that enable low-power, high-bandwidth inter-chip (e.g., board-level and / or rack-level) as well as intra-chip communication are described. Described herein are techniques, architectures and processes that improve upon the performance of conventional computers. Some embodiments provide photonic interposers that use photonic tiles, where each tile includes programmable photonic circuits that can be programmed based on the needs of a particular computer architecture. Some tiles are instantiations of a common template tile that are stitched together in a 1D or a 2D arrangement. Some embodiments described herein provide a programmable physical network designed to connect pairs of tiles together with photonic links.

This invention relates to the field of computer system performance and security testing technology, specifically a computer performance and security testing method and system. Specifically, it involves: acquiring and standardizing performance indicators, behavioral characteristics, and security event data of the target system in real time; using a Gaussian mixture model to cluster the dimensionality-reduced behavioral characteristics to establish normal behavior pattern clusters; combining a Hidden Markov Model to perform time-series analysis of the behavioral sequences to identify system state transition paths; employing a weighted combination strategy to inject normal and attack-type loads, and adjusting abnormal behavior chains through a perturbation function; constructing a directed weighted association between abnormal events and performance indicators based on an event-driven causal performance graph, quantifying the system risk index, and triggering alarms; outputting performance bottlenecks, security vulnerabilities, and optimization suggestions, and updating the knowledge base to optimize subsequent models. This invention achieves deep coupling of performance and security testing, intelligent scheduling of dynamic loads, and interpretable location of risk paths.

The utility model discloses a double -deck formula HDD module support structure, including assembly frame, the inside fixed mounting of assembly frame has a plurality of transverse arrangement's lower support board, each lower support board all is provided with upper support board, each lower support board with upper support board inside all movably inserts and is provided with HDD module, and the lower support board includes a primary support plate, and the top of primary support plate is provided with front baffle, and the lower surface one side of primary support plate is provided with primary fixed hole for installing assembly frame, and the upper surface fixed mounting of front baffle is provided with the frame plate assembly hole for with upper support board assembly, the support structure of the utility model has double -deck formula's HDD module support installation effect, can carry out up -and -down stacked frame body assembly work, and in this way can when HDD module assembly, through the structural design of double -deck support, can effectively promote the assembly number of HDD module, promote computer performance, and simultaneously will not occupy too much cabinet transverse space, reduces the space occupation effect when module assembly.

The application discloses a kind of FPC defect classification methods based on CNN and TRANSFORMER, the method with CTNet designed based on CNN and TRANSFORMER as classification model, steps are as follows: S1. collect target defect image, pre-process FPC original image data;S2. data enhancement processing is carried out to the image after pre-processing, expand image data set;S3. manual classification is carried out to the image data set after enhancement;S4. image data after artificial classification is proportionally divided into training set and verification set;S5. model training, the well divided image training set is sent into CTNet network model and is trained;S6. the performance evaluation of trained FPC classification detection model is carried out;S7. parameter optimization fine-tuning, in combination with the evaluation result of S6, the model is further optimized.The application realizes the automatic classification of FPC defect, has good universality, and classification speed is fast and low to computer performance requirement, can greatly reduce the production cost of enterprise.

The invention relates to a CPU performance test method in a Conda environment and application, belongs to the field of computer performance evaluation and optimization, and realizes comprehensive evaluation of CPU performance by combining LAMMPS and LLCBench tools. According to the method, a test platform is quickly built through a Conda environment, and the computing performance and the parallel processing capacity of a CPU can be evaluated by using LAMMPS; the bandwidth and delay characteristics of caches (L1, L2 and L3) at all levels of the CPU can be tested through LLCBinch. By combining the two tools, the method realizes the comprehensive test of the computing performance and the cache performance of the CPU, has the advantages of high efficiency, repeatability and wide application range, and provides scientific support for hardware performance evaluation and optimization.

The application discloses a kind of marine integrated navigation system performance optimization method, the zooming and dragging of chart are optimized, when displaying chart, optimization is carried out by only loading partial layer, to improve the fluency of chart zooming and dragging operation.The determination steps of loaded layer are as follows:(1) test layer display performance;(2) create layer priority queue;(3) determine the layer directory that needs to be loaded and displayed by layer priority queue and layer display performance.The application draws part of layer preferentially, and the requirement of computer performance is low, and good performance can be achieved when frequent zooming and dragging operation is carried out.

A method of computer operation may include (a) providing a first computer and a second computer; (b) operating the second computer; (c) modifying settings of the second computer; (d) monitoring, via the first computer, changes to a plurality of operational parameters of the second computer after the settings are modified to identify a plurality of covariant parameters of the plurality of operational parameters; and / or (e) controlling, via the first computer, operation of the second computers according to the identified plurality of covariant parameters to increase computational efficiency of the second computer.

The invention discloses a computer performance detection device, and belongs to the field of detection devices. The fixed rod is fixedly connected to the top of the base; the supporting block is fixedly connected to the top of the base; the supporting plate is fixedly connected to the front surface of the supporting block; the inserting plate is assembled on the back surface of the fixing rod; a water pump is assembled on the front face of the inserting plate, a driving hydraulic bin is fixedly connected to the back face of the fixing rod, and a detector body is assembled on the back face of the inserting plate. Through the cooperation of a hydraulic cylinder and a hydraulic rod, when an insertion plate does not deform, the whole system can smoothly perform insertion and extraction detection; once the plugboard deforms, flowing of hydraulic oil in the hydraulic pipeline is limited, a buzzer is triggered to give an alarm, and an operator is timely reminded that the plugboard deforms and needs to be replaced. The real-time monitoring mechanism can effectively avoid the damage of the power supply module caused by the deformation of the plugboard.

Prediction of CPEs using banners greatly improves computer functioning. Many web services have an unknown common platform enumeration (CPE). When the CPE is unknown, a computer system is unable to obtain cybersecurity flaws and software fixes for a software product or web service. A CPE, though, is predicted by banner-prompting a large language model using a web service banner. Once the CPE is predicted, vulnerabilities may be identified.

The invention discloses a software self-description method interacting with an artificial intelligence agent. A function list part is embedded in a software package; and analyzing the function list, compiling and preprocessing the function list by the AI agent, and generating an operation sequence. The technical problem that the AI agent cannot effectively understand and operate human software is solved, the technical means of embedding the function list in the software package and compiling and caching by the AI agent is adopted, and the technical effects of improving the operation efficiency of the AI agent, reducing the operation failure rate and improving the computer performance are achieved.

This invention discloses a method and system for optimizing deep learning load mapping on a multi-accelerator heterogeneous SoC platform, relating to the field of computer performance and energy consumption collaborative optimization technology, to improve the performance of deep learning inference applications while reducing energy consumption. The key technical points of this invention include: first, extracting sub-networks with performance or energy consumption optimization potential; then, measuring and fusing the performance and energy consumption data of nodes and sub-networks; next, establishing an analytical performance and energy consumption prediction model to predict the runtime and energy consumption of the inference engine under different mapping configurations; then, using a mapping optimization algorithm based on a variable-length sliding window to search for a mapping configuration with better performance and energy consumption; finally, generating the inference engine and iterating through the search for the optimal number of CUDA streams. This invention requires no user intervention and can automatically find a mapping configuration with better performance and energy consumption and generate an inference engine. Compared with existing methods such as JEDI, this invention offers greater performance improvement, greater energy savings, and a shorter optimization time.

The invention relates to the technical field of computer parts, in particular to a computer heat dissipation case convenient to adjust, which comprises two outer shells I and an outer shell II sleeved in the outer shells I. An installation part is arranged in each of the two outer shells I and the outer shell II; a first vertical plate and a second vertical plate are arranged in the first outer shell and the second outer shell correspondingly, and a plurality of cooling fans are arranged on the first vertical plate and the second vertical plate correspondingly. According to the computer cooling device, by changing the inclination angle of the air guide plate, the direction of air blown out by the cooling fan can be flexibly adjusted according to the heat distribution condition of electronic elements in a computer, the cooling efficiency is effectively improved, and the influence of local overheating on the performance and the service life of the computer is avoided; therefore, an efficient heat dissipation air channel is formed, so that air blown out by the heat dissipation fan can flow to electronic elements needing heat dissipation more intensively, and the overall heat dissipation performance is improved.

The present application belongs to the technical field of computer performance detection, and discloses a computer performance degradation prediction and anomaly detection method based on multi-source data fusion, and the specific steps are as follows: S1. Multi-source data acquisition: collect hardware sensor data, software performance counter data, and user behavior and system log data of the computer. By fusing hardware, software and system log multi-source data, the one-sidedness of a single data source is avoided, the computer performance is accurately and comprehensively reflected, the detection accuracy is improved, and the false alarm and missed alarm rates are reduced; based on the historical data of the health state, a personalized model is trained to build a health region, which is adapted to different user habits, solves the drawbacks of fixed threshold one-size-fits-all, and enhances adaptability; the health degree trend is predicted through the LSTM model, the change from "post-detection" to "pre-prediction" is realized, and the user is helped to carry out preventive maintenance in advance; with the help of the SHAP method, the abnormal root cause is located, the fault diagnosis and repair time is shortened, and the operation and maintenance efficiency is improved.

A method improves performance of a computer that provides binaural sound to a listener. A memory stores coordinate locations that follow a path of how the head of the listener moves. This path is retrieved in anticipation of subsequent head movements of the listener to improve computer performance of executing binaural sound.

The embodiment of the invention provides a code detection method and device and a loop statement code detection method and device.The code detection method comprises the steps that a to-be-detected code is determined, syntactic analysis is conducted on the to-be-detected code, and an intermediate code corresponding to the to-be-detected code is obtained; matching the intermediate code with a code template in a code template set to obtain a target code template matched with the intermediate code; a code execution condition corresponding to the target code template is determined, code execution detection is conducted on the intermediate code according to the code execution condition, a code detection result is obtained, and the code execution condition is used for limiting the code execution process of the intermediate code. According to the method, the accuracy of code detection results is improved; and the code detection result is obtained by reasoning the intermediate code instead of really executing the code, so that the problems of path explosion and the like are avoided, and the risk of reducing the computer performance by code detection is reduced.