84 results about "Parallel rendering" patented technology

The invention relates to an intelligent MV generation method, system and device based on AIGC and a medium, and belongs to the technical field of artificial intelligence content generation. The method comprises the following steps: receiving an original music file input by a user and a user instruction; performing audio preprocessing on the original music file to generate a standardized audio signal, and mapping a user instruction into a semantic vector; rhythm features and emotion features are extracted, music feature vectors are generated and subjected to feature alignment with semantic vectors, and an initial key frame sequence is generated based on a diffusion model; performing particle effect density dynamic adjustment and shot switching point generation on the initial key frame sequence, outputting an enhanced key frame sequence, performing optical flow frame insertion and long time sequence prediction, and generating an optimized video frame sequence; and performing block parallel rendering on the optimized video frame sequence according to the target platform parameters to generate an MV file and metadata. According to the invention, deep fusion of audio and visual contents can be realized, and high-quality video contents can be generated according to individual demands of users.

The invention relates to the field of commodity visualization, in particular to a commodity display interaction visualization method and device. The method comprises the following steps: collecting a multi-azimuth image of a commodity, carrying out three-dimensional texture modeling, and constructing a three-dimensional texture mapping model; performing material light rendering on the three-dimensional texture mapping model to generate a material rendering result; collecting an environment detection image of a commodity display environment, and performing environment illumination adaptation compensation on a material rendering result to obtain an illumination compensation rendering commodity; carrying out attribute information visual layout on the illumination compensation rendering commodity to obtain a commodity visual space; and carrying out interaction response animation analysis according to the commodity visualization space, carrying out multi-target parallel rendering, and executing commodity interaction visualization operation. The form and surface details of the commodity in the real world are accurately restored, the visual reality sense is improved, and the interactive experience feeling of browsing the commodity by a user is enhanced.

The invention discloses a lecturer video automatic generation method based on AI speech synthesis and animation driving. The method comprises the following steps: performing structured analysis on a PPT or a text script through an improved interior point method and an incremental shortest path algorithm; performing semantic grouping by applying a full-dynamic parallel single-link clustering algorithm and generating an enhanced script with an expressive mark; a CosyVoice technology is combined with a low-rank approximation method to generate a high-quality voice data stream; establishing a mapping relation between contents and action expressions through semantic analysis, and generating a complete action expression instruction set; and driving the digital human model by using the msueTalk technology, and generating a final lecturer teaching video through a parallel rendering algorithm. According to the invention, the method achieves the efficient and automatic generation of the education video, remarkably improves the content production efficiency, reduces the production cost, and guarantees the specialty and expressive force of the teaching video.

The invention provides a graph rendering method and system based on a GLSL shader, and relates to the technical field of three-dimensional model rendering, and the rendering method comprises the steps: loading a 3D model, extracting data of a control point of the 3D model in a VBO of a GPU, generating a first geometric primitive, extracting vertex data in the first geometric primitive, generating an index array of the vertex data, and creating an EBO, based on an index array stored in the EBO, a vertex shader is used for sequentially processing vertex data, obtaining the position and interpolation data of each vertex, cutting the vertex data, regenerating a second geometric primitive, converting the second geometric primitive into a fragment, and a fragment shader calculates color data of each fragment; and the GPU performs parallel rendering on the color data to obtain a final output image, so that resource consumption and memory occupation are reduced while the 3D model is converted into the 2D image, and the rendering efficiency is improved.

The invention discloses a real-time rendering optimization method based on dynamic rendering and multi-hardware acceleration cooperation, and relates to the technical field of AR and VR real-time rendering, and the method comprises the following specific steps: dividing a user field angle into three-level resolution regions through an eye movement tracking module, and dynamically adjusting the resolution and anti-aliasing strategy of each region; stage processing is realized through an asynchronous time warping hardware acceleration module; the asynchronous time warping hardware acceleration module is combined with the optical flow compensation module to cooperatively optimize anti-aliasing compensation, and dynamic key points are extracted through a sparse optical flow algorithm; a multi-hardware acceleration collaborative architecture is adopted, and GPU rendering pipelines are divided according to a multi-viewport parallel rendering module; and the motion prediction module synchronizes IMU data in real time through a special AXI bus, so that optimization model updating is realized, and a final rendering frame is obtained. Through cooperation of dynamic rendering and multi-hardware acceleration, the bottleneck of a traditional scheme in adaptability, energy efficiency and real-time performance is solved, and the rendering quality and cruising ability of AR / VR equipment are remarkably improved.

The invention relates to the technical field of path planning, in particular to an intelligent path planning method and system for multi-path VR experience, and the method comprises the following steps: collecting position coordinates and line-of-sight direction data of a user in a VR environment, carrying out time sequence analysis, associating a time point with a user behavior, and extracting a user behavior sequence mode; analyzing the behavior trend of the user according to the extraction result, identifying the potential path selection of the user, and forming a potential path analysis set. According to the method, the position coordinate and the sight line direction of the user are analyzed, behavior pattern recognition is deepened in combination with time sequence analysis, the formation of the prediction path set better meets the personalized requirements of the user, the prediction accuracy and personalized experience are enhanced, the behavior change of the user is analyzed in real time, the pre-rendering path is dynamically adjusted, and the user experience is improved. Seamless and high-quality VR experience is guaranteed, resource use is optimized through parallel rendering and quality dynamic adjustment of multi-path selection, and the response time and load of the system are reduced.

The invention relates to an intelligent operation and maintenance method for power transmission network equipment based on digital twin dynamic coupling, and belongs to the technical field of intelligent detection of power systems. The method comprises the following steps: dynamically splitting a power grid panoramic frame into an equipment physical entity layer and a static background environment layer, and generating a panoramic display picture through cloud and edge parallel rendering and a terminal HMD picture synthesis technology; establishing real-time bidirectional mapping between the physical entity and the virtual twinborn body of the power grid equipment, and synchronizing sensor data to the digital twinborn model; adopting an improved permutation entropy algorithm to extract equipment operation characteristic quantity, and dynamically distributing rendering pipeline resources in combination with a Bayesian network diagnosis model and an analytic hierarchy process evaluation system; and constructing an equipment state quality index, and quantitatively evaluating the health degree of the current equipment and predicting the future degradation trend by dynamically comparing the characteristic parameters with an expected value and combining health factor correction and a time sequence nonlinear prediction model. According to the invention, full-life-cycle efficient management and control of the operation state of the power grid equipment can be realized.

The invention relates to the technical field of data processing, and discloses a BIM model storage system and method based on lightweight data, and the system comprises a tree segment management module which is used for constructing a tree segment structure, and taking each segment as a storage unit; the segment multiplexing creating module is used for creating multiplexing segments in the tree-shaped segment structure, realizing data multiplexing in a reference mode, and creating style segments for centralized management of drawing attribute information; the parallel rendering module is used for rendering the model primitives by adopting a parallel computing method based on the geometric information and the attribute information in the multiplexing segments; the lightweight data generation module is used for organizing the BIM model data according to a tree-shaped segmentation structure and generating a binary data file; and the data compression module is used for compressing the binary data file to generate a compressed format storage file. The technical problem that efficient storage, transmission and application requirements of the BIM model are difficult to meet in the prior art is solved.

The invention provides a high-parallelism rendering method based on AI (artificial intelligence) algorithm capability, which comprises the following steps: learning a user task and rendering software through AI, splitting the user task into a plurality of subtasks according to a splitting principle, and splitting the rendering software into a plurality of granularities according to the requirements of the user task; a learning model is input, the completion time and the resource demand of each subtask are predicted through AI, the minimum waiting time and the maximum resource utilization rate set value are output, and an efficient parallel task scheduling execution plan is generated; distributing corresponding multi-granularity software for each subtask according to the execution plan, and determining an execution sequence of the parallel rendering tasks according to the dependency relationship, priority and resource requirements of the subtasks; and collecting execution data as feedback information, inputting the feedback information into the learning model, and carrying out iterative optimization on the learning model. According to the method, the AI algorithm capability is adopted to improve the degree of parallelism of rendering software, and the execution efficiency and quality of cloud rendering tasks can be improved.

The invention provides a block rendering method and system based on a video stream. The method comprises the following steps: acquiring a task; performing task preview by adopting a dependency decoupling model, and judging rendering elements and dependency among the elements; selecting a blocking mode according to the complexity of the rendering elements and the dependency relationship among the elements; splitting task blocks according to the blocking mode; rearranging the task blocks, rendering the task blocks without the dependency relationship in parallel, and rendering the task blocks with the dependency relationship according to a sequence or a time sequence; and combining the rendered task blocks according to an initial task sequence, and carrying out smooth transition processing on a connection part. By constructing the dependency decoupling model and splitting the task blocks, the rendering process is simplified, the number of parallel rendering task blocks is increased, and the rendering time of a single frame is remarkably reduced, so that the overall rendering efficiency and the computing resource utilization rate are improved.

The invention relates to the technical field of computer vision and robot positioning, and discloses a dynamic 3DGS-SLAM method and system based on Gaussian pyramid and adaptive densification. The method comprises the following steps: generating a semantic mask through real-time dynamic target detection so as to distinguish a static background from a dynamic object; constructing a 3D Gaussian map model of the scene; rendering images in parallel on a full-resolution view and a down-sampling resolution view by adopting a motion perception Gaussian pyramid rendering method, and fusing rendering results by utilizing a dynamic mask so as to eliminate motion edge artifacts; a self-adaptive densification strategy based on a monotonic attenuation function is adopted, the initialization radius of the Gaussian ellipsoid is dynamically adjusted based on the training progress, and high-density initialization and progressive redundancy pruning are executed to optimize the geometric fidelity; and finally, performing coarse-to-fine camera pose optimization, and outputting a precise pose and a high-fidelity static map. According to the method, the problems of tracking drift and rendering artifacts under dynamic interference are effectively solved, and the positioning precision and the rendering quality are improved.

The invention discloses a digital twinborn irrigation district visualization method and browser based on network graphical processing, and belongs to the technical field of irrigation district visualization. An irrigation district visualization scheme in the prior art cannot effectively meet the requirements for data processing timeliness and irrigation district visualization display in a complex irrigation district visualization scene. According to the digital twinborn irrigation area visualization method based on network graphical processing, an irrigation area drainage basin visualization unit, an irrigation area coordinate construction unit, a hydrological change simulation unit and a three-dimensional irrigation area generation unit are created, and hydrological change data of an irrigation area are mapped into simulation information in a geographic information system coordinate system; according to the method, the simulation information and the geographic information map are coupled, and meanwhile, parallel rendering processing is carried out, so that large-scale or complex irrigation area data can be efficiently processed, the processing timeliness requirement of the geographic information data is met, a finer visual effect can be provided, and the requirement of visual display of the irrigation area is met.

The invention provides a real-time three-dimensional greening maintenance system, method and device based on multi-sensor fusion and a medium, and the method comprises the following steps: S1, collecting multi-modal data of a target area through multiple sensors, including point cloud, environmental parameters and multi-view images; s2, performing space-time registration, noise filtering and feature fusion on the multi-modal data to generate a vegetation three-dimensional data set; s3, performing multi-scale modeling on the data set based on a Gaussian mixture model (GMM) to generate a dynamically updated vegetation three-dimensional model; s4, adopting a hierarchical data structure and a GPU parallel rendering technology to realize real-time visualization of more than 30FPS in a dynamic scene; and S5, generating a vegetation health assessment report and an automatic maintenance decision in combination with the environmental parameters and the model data, thereby solving the defects of the existing method in frame rate, illumination simulation and detail modeling, reducing the manual intervention cost, and meeting multiple requirements for real-time performance and authenticity in the actual greening maintenance process.

The invention provides a graph card-based hybrid scheduling rendering method and system, and the method comprises the steps: dividing a frame buffer area, binding the divided frame buffer area with a task, completing the rendering of each card through a hybrid task scheduling strategy, and finally synthesizing and outputting a complete graph; a frame buffer area of a rendering graph is divided into a plurality of graph cards according to display criticality, each graph card is bound with an independent rendering task and a video memory area, a unique task division and resource allocation mode is formed, and the mode is different from a traditional overall rendering mode; and in combination with a hybrid scheduling strategy of high-priority task preemptive scheduling and dynamic card task parallel rendering, the problems of rendering task priority conflict and resource utilization are effectively solved.

The invention relates to the technical field of image recognition, in particular to a digital human action generation system and method based on a diffusion model and emotion recognition. The method comprises the following steps: synchronously collecting a voice stream and a face video stream of a user, and respectively carrying out short-time Fourier transform and face key point detection to obtain a voice Mel spectrogram sequence and a key point displacement vector sequence; performing multi-modal fusion processing on the voice Mel spectrogram sequence and the key point displacement vector sequence to generate an emotion feature vector; and obtaining a digital human skeleton joint rotation state of the current frame, and carrying out emotion adaptive mapping on the emotion feature vector to obtain a conditional latent variable. By fusing a diffusion model, multi-modal emotion recognition and a physiological constraint mechanism and combining efficient inverse solution and parallel rendering technologies, emotion-driven, high-authenticity and low-delay real-time generation and stable interaction of digital human actions are realized.

The invention discloses an image display method for a naked-eye 3D large screen, and particularly relates to the technical field of intelligent display, which comprises the following steps of: firstly, acquiring and tracking the positions of eyes of multiple audiences in front of the screen in real time through a depth camera network, and distributing a unique ID (Identity) for each audience to realize continuous tracking; thirdly, dividing the audiences into a plurality of visual areas based on a dynamic clustering algorithm, and calculating the rendering priority of each visual area according to the number of the audiences in each visual area and the importance of the content of the concerned screen; then, left and right eye views with correct parallax are rendered in parallel for each activated visual area, and digital pre-compensation is performed by using a pre-stored optical model so as to suppress crosstalk and uneven brightness; and finally, according to the distance and angle of the visual area of the audience, querying the human factor engineering database to obtain a comfortable parallax threshold, and dynamically compressing the extreme depth of field exceeding the threshold in the scene. According to the invention, multi-audience self-adaptive high-quality 3D display is realized, and the watching experience, the resource utilization efficiency and the visual comfort are effectively improved.

The invention provides a three-dimensional geologic body rendering method and system which are used in the field of geospatial information visualization, and the method comprises the steps: obtaining a three-dimensional geologic body model; simplifying the three-dimensional geologic body model by a half folding algorithm based on secondary error measurement; blocking the simplified geologic body model through a planar quadtree, and constructing a spatial index tree according to the blocks to generate a geologic body blocking model of an LOD level; obtaining a viewpoint position and a vision field range of a user, calculating a screen space error, switching a geologic body partitioning model corresponding to an LOD level, and preferentially loading a high-precision close-range tile; the calculation shader based on the WebGPU performs parallel rendering on the geologic body block model tiles; and after the tiles of the geologic body block model are compressed through a Draco compression algorithm, the geologic body block model data stream is sent to the client. According to the scheme, the processing efficiency of the geologic body model in the links of loading, rendering, transmission and the like is improved, and the rendering efficiency of the geologic body model under mass requirements can be effectively guaranteed.

The invention provides a front-end graph rendering system and method based on a WebGPU, and the system comprises the steps: firstly carrying out the preprocessing of original scene data through a data preprocessing module, and generating preprocessing resource data, GPU cache address information and a resource loading priority matrix; and then, determining a parallel rendering task queue through a hybrid rendering pipeline module, so as to instruct the rendering pipeline and the calculation pipeline to execute corresponding rendering tasks. Next, executing a rendering task according to the parallel rendering task queue through a rendering processing module, and outputting and caching a rendering task execution result set; and finally, the post-processing and output module performs synthesis based on the rendering task execution result set, and determines and outputs a rendering result image. Therefore, by constructing the parallel rendering task queue and the parallel rendering task queue, corresponding rendering methods can be adopted for different rendering requirements, so that the graphic rendering efficiency and quality at the front end of the WebGPU can be effectively improved.

The invention provides an object rendering method and device, electronic equipment and a storage medium, and relates to the technical field of rendering. Comprising the steps that at least one piece of track data is acquired, and each piece of track data corresponds to a moving path of a to-be-rendered object of one type; sampling each piece of trajectory data, and generating a path data sequence corresponding to each piece of trajectory data; according to each path data sequence and the time step sequence, generating a texture map; and according to the texture map, carrying out parallel rendering on the plurality of to-be-rendered objects. According to the scheme, the trajectory data of the to-be-rendered object is generated, so that the displacement and rotation information of the to-be-rendered object is coded into the texture map for sparse storage by sampling the trajectory data, the data storage amount is reduced, and the data communication performance between the CPU and the GPU is improved. And through the parallel computing capability of the GPU, the to-be-rendered object is subjected to parallel rendering, so that the rendering complexity can be reduced, the rendering frame rate can be improved, and the high-real-time rendering requirement can be met.

The invention relates to the technical field of space-time big data processing, and discloses a Web-end-oriented space-time big data efficient rendering optimization method and system, a storage medium and electronic equipment, and the method carries out unified and intelligent management on the whole rendering process by introducing a central rendering task scheduler. Space-time big data fragments are split into fine-grained vector tile rendering tasks, a dynamic rendering priority score is calculated for each task, and the vector tile rendering tasks with high priorities are sequentially taken out from the head of a dynamic priority queue according to a current available rendering resource threshold value of a Web end. The method comprises the following steps: acquiring a plurality of rendering tasks, distributing the rendering tasks to a plurality of parallel execution rendering task execution units for real-time rendering processing, outputting a final spatio-temporal data visual image, and dynamically adjusting a task execution sequence and resource allocation in combination with real-time system monitoring, thereby preferentially ensuring that contents most concerned by a user are quickly rendered under limited Web end resources, and improving the user experience. And an efficient and smooth visual effect is realized.

The invention discloses a rendering method and device, electronic equipment and a readable storage medium, and relates to the technical field of computers. The method comprises the following steps: acquiring a rendering configuration file which is generated by a first graphic processing device for a virtual target and has a target format; the target format is a format which can be identified by a RenderMan renderer; writing the storage path of the rendering configuration file into a RenderMan renderer configuration file; rendering configuration information in the RenderMan renderer configuration file is written into a Deadline job file, and the Deadline job file is written into the RenderMan renderer configuration file; and submitting the Deadline job file to a Deadline server, so that the Deadline server distributes a rendering task aiming at the virtual target to a rendering node configured with the RenderMan renderer according to the Deadline job file, and performing distributed parallel rendering aiming at the rendering task through the rendering node.

The embodiment of the invention discloses an information visualization method and system applied to parallel turbulent transport, and belongs to the technical field of data visualization. According to the embodiment of the invention, trajectory integral operation is performed on flow field sampling points through a Lagrange tracking method, and an original streamline set containing time evolution information is generated; performing topological structure analysis processing on the original streamline set to generate a streamline topological characteristic spectrum containing branch points, sink points and saddle points; constructing a multi-scale parallel rendering task queue based on the map, and distributing an original streamline set to a plurality of computing nodes for collaborative rendering through a spatial region division algorithm to obtain a collaborative rendering intermediate result; and according to the result, streamline density self-adaptive adjustment processing is executed, a turbulent transport visualization image sequence with a dynamic detail level is generated, the turbulent transport visualization image sequence is used for presenting the spatial distribution characteristics and the time evolution trend of the turbulent transport phenomenon in the flow field, and the efficiency and the accuracy of flow field visualization are improved.

This invention discloses a method for displaying Linux container applications on the HarmonyOS platform based on virtual compositing nodes. Using HarmonyOS as the host and Linux as the container, the host-side Vulkan resource management hub pre-checks GPU characteristics, allocates shared Vulkan resources, creates rendering channels, and initializes global timeline semaphores to build a unified resource pool. After the container starts, it requests resources from the host to import shared video memory objects, and the container compositor registers virtual nodes. During the rendering phase, the application uses shared resources to complete parallel rendering and sends notifications to the container compositor. The container compositor, based on the global display state, uses Vulkan instructions to perform window blending, transformation, and other processing, encapsulates global compositing units, and submits them to the HarmonyOS global compositing scheduler. The scheduler reads the global compositing units and, when the timeline semaphore meets the on-screen conditions, completes the global compositing of the container application window and the host's native window, driving the display service to output the screen.

The invention discloses a large-screen data visualization component library system based on an adaptive algorithm and interactive optimization, and relates to the technical field of large-screen visualization, and the system comprises a layout and typesetting module which relies on a CasSowary constraint solver and realizes grid layout dynamically adapted to a multi-resolution screen by constructing a linear equation set; the chart generation module provides multiple types of chart components and supports dynamic data updating through a data binding interface; the expansion decoration module is used for generating a particle effect and dynamic decoration by adopting SPH fluid dynamics simulation and a GPU parallel rendering algorithm; the digital display module provides a plurality of dynamic digital display modes; the geographic visualization module supports loading of a user-defined map component, integrates various geographic data display forms, and realizes visual presentation of diversified geographic information; all the modules form an integrated large-screen visualization system through a unified event bus mechanism and a data format standard. According to the invention, diversified requirements of users in large-screen display can be met.

The present application relates to the technical field of computer vision, in particular to a method for fast processing 2D video and color fusion of real scene reconstruction three-dimensional model based on GPU, comprising the following steps: data acquisition and space-time reference calibration preprocessing; real scene three-dimensional basic model construction; GPU parallel space-time joint pose compensation projection mapping; re-projection error calculation and pose compensation iterative optimization; GPU accelerated color fusion optimization output. The present application designs the GPU parallel space-time joint pose compensation projection mapping, combines the acquisition timestamp difference and device motion parameter to calculate the pose compensation amount, matches the re-projection error iterative optimization, adapts the real scene three-dimensional reconstruction dynamic acquisition scene, corrects the space-time asynchronization and pose offset, accelerates the GPU parallel operation and guarantees the projection mapping accuracy; at the same time, relying on the GPU parallel rendering engine to complete the color difference correction, color tomography smoothing and edge transition processing, realizes the uniform fusion of 2D video color and three-dimensional model, and solves the problems of uneven color and connection trace.

The present application relates to the field of space intelligence and real-time graphics rendering, and provides a space intelligence panoramic Gauss block streaming rendering method and system, on the one hand, by structuring the space scene and using Gauss parameters for explicit expression, each rendering unit has clear spatial position, direction information and energy distribution attribute, and the explainability and traceability of the rendering process are improved; on the other hand, by using cross-block energy conservation constraint and geometric continuity correction mechanism, the problems of brightness drift between blocks, boundary fault and topological discontinuity in traditional parallel rendering are effectively eliminated. At the same time, by integrating rendering, splicing and performance feedback mechanism into a dynamic closed-loop system, the performance state of the execution body and the rendering quality index are collected in real time in each frame rendering process, and the block granularity, sampling density and illumination weight and other parameters are adaptively adjusted, so that the millisecond-level streaming output and stable continuous panoramic rendering effect are realized.

The present application provides a graphics rendering method and system based on GLSL shader, which relates to the technical field of three-dimensional model rendering. The rendering method includes: loading a 3D model, extracting data of control points of the 3D model in a VBO of a GPU, generating a first geometric primitive, extracting vertex data in the first geometric primitive, generating an index array of the vertex data, creating an EBO, processing the vertex data in sequence using a vertex shader based on the index array stored in the EBO, obtaining the position and interpolation data of each vertex, clipping the vertex data, regenerating a second geometric primitive, converting the second geometric primitive into a fragment, using a fragment shader to calculate the color data of each fragment, and a GPU rendering the color data in parallel to obtain a final output image. While converting a 3D model to a 2D image, the present application reduces resource consumption and memory occupancy, thereby improving rendering efficiency.

The invention relates to the technical field of coal mine goaf intelligent treatment, and discloses a coal mine goaf collapse intelligent prediction system based on multi-source data fusion. Goaf exploration data are obtained through a direct current method, a geological radar and a transverse wave two-dimensional seismic method, a three-dimensional geological model is constructed through multi-physics field joint inversion of W-SSIM constraint, and the goaf collapse intelligent prediction system based on multi-source data fusion is obtained. Minute-level local smooth evolution is achieved by means of Kalman-finite element incremental updating, a curtain hole net is automatically generated on the basis of a three-dimensional envelope-diffusion radius-Voronoi-Lloyd algorithm in combination with drilling machine accessibility verification, and a Bayesian network-MCMC is used for sampling and coupling grouting monitoring data and establishing a four-dimensional collapse probability body. A 0.5 m precision risk thermodynamic diagram is output through GPU parallel rendering, and rolling prediction in the next 28 days is achieved. According to the invention, through a full-link integrated closed-loop architecture of exploration, modeling, governance, monitoring, prediction and display, the technical blank of digital closed loop of coal mine goaf governance is filled.

The invention relates to the technical field of computer aiding, and discloses a parallel rendering method and system for a molecular dynamics trajectory based on a supercomputing platform so as to improve the rendering efficiency. The method comprises the following steps: acquiring deployment of corresponding molecular dynamics visualization related components matched by a user aiming at a current supercomputing environment; the main node splits the big data track file by using Gromacs, generates sub-task track files related to task requirements, and distributes the sub-task track files to corresponding nodes; executing a non-interactive VMD task in parallel by each node which obtains the sub-task track file, calling a renderer to perform rendering operation, and storing a rendering result in a file folder corresponding to each node task in a shared memory in a tga file format; and the main node re-numbering the rendering subtask generation tga file, and then carrying out picture processing on the rendering tga through FFmpeg to generate an animation video file.