48results about How to "Full use of computing power" patented technology

The invention discloses a video analysis and accelerating method. The method comprises the following steps: dividing a video frame processing task into four levels of subtasks according a sequential order, and allocating the subtasks to GPU and CPU to process; realizing each level of subtask through a thread, transmitting data to a thread for the next subtask after processing, and ensuring that all the threads perform concurrent execution; pausing and waiting when new tasks does not exist or a thread for the next level of subtask does not accomplish processing; adopting a first-in first-out (FIFO) buffer queue to transmit data between threads for two adjacent levels of subtasks; realizing asynchronous cooperation concurrency of CPU and GPU subtasks through CUDA function asynchronous invocation for two subtask not in a dependency relationship. According to the method, various computing resources in a heterogeneous system are effectively utilized, a reasonable task scheduling mechanism is established, and communication overhead between different processors is reduced, so that the computing power of each computing resource is given into full play, and the system efficiency is improved.

The invention relates to a power network planning construction method based on network reconstruction and optimized load-flow simulating calculation. The power network planning construction method based on the network reconstruction and the optimized load-flow simulating calculation comprises the steps that load-flow of a power system is calculated by a digital simulation module in a power network simulation platform, constraint of a future power network is set by an operator, interface service calls used for power network planning are increased, a network reconstruction subsystem obtains power network data, rules followed by the network reconstruction subsystem in calculation are determined, calculation constraint is determined, the network reconstruction subsystem acquires an optimal solution, artificial interfering correction is conducted to a network reconstruction result, the result is written into the power network simulation platform, an optimized load-flow subsystem obtains power network data, constraint is determined before the calculation of the optimized loading-flow subsystem, optimized load-flow calculation is developed, the result is exported and sent to the power network simulation platform, artificial interfering correction is conducted to the exported result, and the result after the artificial interfering correction is stored in the power network simulation platform. The power network planning construction method based on the network reconstruction and the optimized load-flow simulating calculation largely improves the working efficiency of power network planning and the efficiency of a power network operation mode, and thus a power network planning working process which is convenient and high in efficiency is created.

The invention discloses an ultra high speed ultrasonic imaging device and method based on a central processing unit (CPU) + a graphic processing unit (GPU) isomeric framework. An FPGA control probe transmits multi-angle plane wave ultrasonic signals to biological texture to be detected and conducts analog-to-digital conversion and pre-amplification on received data. A large amount of data subjected to preprocessing are transferred into a CPU through a high speed PCI e channel. Data beam forming is achieved in the CPU, and functions like human-computer interaction are achieved. GPU reads data in the inner storage of the CPU, and utilizes the parallel calculation capability and variable frame rate plane wave composite technology to combine and demodulate signals to further achieve super speed imaging. By means of the device and the method, the high-integrity transmitting and receiving scheme and the unified data collection framework are adopted to simplify the front end, the beam forming module is moved to the rear end, the front end is further simplified, the rear end processing capability is fully utilized, and the system performance is improved.

The invention provides a load balancing method, device and system for a computing cluster, and relates to the technical field of load balancing of computing clusters. The load balancing method for thecomputing cluster comprises the steps of first reading task state information of a task in a task pool; based on the task state information, judging whether a computing unit in a node server can process the task; if yes, obtaining the task from the task pool; and instructing the computing unit to perform computing processing on the task. The load balancing method of the computing cluster cooperates with the load balancing device and the load balancing system to automatically allocate the information processing requests according to real-time resource conditions of the server without introducing additional devices, thereby avoiding waste of system computing resources caused by reasons of a key node bottleneck, unreasonable task allocation and the like.

The invention discloses a quick medical ultrasonic image system for multiple MV high-definition algorithms based on a GPU. The system comprises an initial starting module, an analog simulation module,an algorithm imaging module and a result display module, wherein the initial starting module completes system initialization setting and the calls the algorithm imaging module for imaging, the analogsimulation module serves as an auxiliary module to produce analog data to be used for other modules, the analog simulation module is a core module of the whole system and receives parameter settingsfrom the initial starting module and data of the analog simulation module or a data acquisition device for imaging calculation, and the result display module conducts last processing and display on the results of other modules and finally achieves quick imaging functions of the multiple MV algorithms. The quick medical ultrasonic image system can complete completed calculation of high-definition medical ultrasonic image algorithms within very short time, used GPU programming for the MV high-definition algorithms can be conveniently deployed on a computer with the GPU, and the quick medical ultrasonic image system can effectively meet the use demand and is good in practicability.

The invention relates to the technical field of computers. The invention discloses a task processing method, a task processing device and a computer system. Implementation of the task processing method comprises the following steps: a first processing device generates a plurality of tasks and determines task description information of the plurality of tasks, and the task description information ofthe plurality of tasks is used for indicating a dependency relationship among the plurality of tasks, wherein in any two tasks with the dependency relationship, processing of one task needs to wait for a processing result of the other task; the first processing device sends an instruction to a second processing device, wherein the instruction comprises the plurality of tasks and task descriptioninformation of the plurality of tasks; and the second processing device receives the instruction and processes the plurality of tasks according to the dependency relationship among the plurality of tasks. Thus, the scheme in the embodiment of the invention can effectively reduce the waiting time delay, gives full play to the computing power of the acceleration chip, and improves the task processing efficiency.

The invention provides a marine platform air compressor fault diagnosis method and belongs to the technical field of marine engineering equipment fault diagnosis. According to the marine platform aircompressor fault diagnosis method, marine platform air compressor monitoring signals are firstly divided into three types of temperature signals, pressure signals and mechanical signals, and marine platform air compressor signal collection points are provided with data sensors correspondingly to collect working signals; linear filtering method Kalman filtering is used at a data processing stage torealize multi-sensor data fusion, and fused data are further divided into a training set, a verification set and a test set; and after logical construction is performed on a Rattan Bayesian classifier, likelihood probability control parameters are optimized by the training set data, the complete marine platform air compressor fault diagnosis method is finally obtained, and fault diagnosis can berealized after importing actually-measured data.

The invention discloses a GPU sorting-based MapReduce optimizing method. According to the GPU sorting-based MapReduce optimizing method, MapReduce is composed of a Map stage, a Shuffle stage and a Reduce stage, wherein the Map stage comprises a Spill process and a Merge process; the Reduce stage comprises a Merge process; during the Spill process of the Map stage, a GPU-based rapid sorting process is performed; during the Merge process of the Map stage and the Merge process of the Reduce stage, a GPU-based merging sorting process is performed. By substituting traditional CPU-based (central processing unit-based) rapid sorting, merging sorting and heap sorting algorithms through the GPU-based rapid sorting and merging sorting algorithms, the GPU sorting-based MapReduce optimizing method can improve the intermediate data processing speed and further improve the performance of the MapReduce.

The invention discloses a multi-agent traffic simulation parallel computing method, which uses a multi-thread parallel computing mode to carry out path optimization, state updating and simulation data storage and display on an agent vehicle, can calculate road impedance according to real-time road conditions, calculates and updates the optimal path of the vehicle in combination with vehicle attributes, the thread distribution can be adjusted according to the actual calculation time consumption, and the thread load is balanced. The invention further discloses a multi-agent traffic simulation parallel computing device, individual differences of different simulation vehicles are fully considered, common simulation vehicles and intelligent vehicles capable of carrying out information interaction are supported, a multi-thread parallel computing mode is used, the CPU computing power of equipment can be fully exerted, the simulation efficiency is improved, and dynamic path planning can be realized, so that the simulation result better fits the actual situation. The method can be used for researching vehicle behaviors, predicting traffic flow states and testing management and control measures, and help is provided for relieving traffic congestion, reducing traffic hidden dangers and reducing resource waste.

The invention discloses a convolution calculation data reuse method based on a heterogeneous many-core processor. A CPU completes convolution calculation of a data block C through a data block A and adata block B. The method comprises the following steps: S1, according to the number of cores of the heterogeneous many-core processor, performing two-dimensional mapping into N * N, dividing the datablock A, the data block B and the data block C into N * N blocks, enabling the (i, j)th kernel to read the (j, i)th block data from the memory into the own on-chip memory, wherein convolution calculation of the data block C (i, j) needs a data block A (i, k) and a data block B (k, j), and k = 1, 2,..., N; and S2, entering a cycle k for N cycles from 1 to N, and completing the Kth convolution calculation of the data block C by using the obtained data block A and data block B. The memory access requirement of convolution calculation on the heterogeneous many-core processor is remarkably reduced, and the many-core calculation capability is fully exerted, so that the high performance of convolution calculation is realized, and the calculation performance of convolution calculation on the heterogeneous many-core processor is improved.

The invention relates to a heat exchanger diagnosing method. The primary mass flow of the flowing medium flowing through a heat exchanger (8, 18) is regulated by a regulating valve (6, 16) controlledby a process controller (4, 14), wherein the valve position values provided by the process controller (4, 14) for the regulating valves (6, 16) are obtained and stored. The heat exchanger diagnosing method is characterized in that the valve position value for the regulating valve (6, 16) is recorded during the recording period, so that in at least one sequence of measurement results, the valve position value assigned to a periodic observation period is stored, wherein the observation period reflects that in the same time period of one year, the dirty degree of heat exchanger (8,18) is diagnosed by analyzing a position value of the at least one sequence of measurement results throughout the recording period when a deviation of the stored measurement value from a reference value assigned tothe sequence of measurement results is greater than a predetermined deviation from the reference value.

The invention relates to a method for selecting locating algorithms in a vehicle, wherein the locating algorithms, in particular for satellite navigation or vehicle dynamics sensors, are selected on the basis of driving states.