CN103455356B - Concurrence loading and rendering method of 3D (three-dimensional) models on multi-core mobile device - Google Patents
Concurrence loading and rendering method of 3D (three-dimensional) models on multi-core mobile device Download PDFInfo
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- CN103455356B CN103455356B CN201310406709.7A CN201310406709A CN103455356B CN 103455356 B CN103455356 B CN 103455356B CN 201310406709 A CN201310406709 A CN 201310406709A CN 103455356 B CN103455356 B CN 103455356B
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Abstract
The invention relates to a concurrence loading and rendering method of 3D (three-dimensional) models on a multi-core mobile device, comprising the following steps of taking a CPU (Central Processing Unit) core number of the current device as the capacity of a thread pool to create the thread pool; respectively creating 3D model data loading tasks for each 3D model file stored on a secondary storage device; respectively creating a rendering task for each 3D model; submitting all data loading tasks to a buffering queue of the thread pool, and carrying out concurrent execution on the data loading tasks by the thread pool; after the data loading tasks are all executed, submitting the rendering tasks into the buffering queue of the thread pool and carrying out concurrent execution on the rendering tasks by the thread pool; finally, after all rendering tasks are completed, destroying the thread pool and releasing system resources.
Description
Technical field
The invention belongs to field of embedded software.3D model on more particularly, to a kind of mobile device in multinuclear concurrently loads
And rendering intent.
Background technology
With the continuous development of embedded technology, the mobile device headed by smart mobile phone, panel computer has obtained rapidly
Development.The central processing unit of mobile device went so far as present double-core, four cores even from former single core
Eight cores.In 3D application aspect, multinuclear mobile device not only can show the 3D figure of complexity, or even can run large-scale 3D trip
Play.
For the 3D of complex scene applies, need to load and render multiple 3D models.Existing method is first by institute
Some 3D model files are loaded onto in internal memory in a serial fashion, then render one by one in a serial fashion.But move in multinuclear
In dynamic equipment, the 3D processing method of this serial can not play the advantage of polycaryon processor to improve 3D processing speed.
Content of the invention
The technical problem solving required for the present invention is to provide the 3D model on a kind of mobile device in multinuclear concurrently to add
Carry and rendering intent.
The technical scheme that present invention solution technical problem is taken is as follows：
In the CPU core calculation loading and first judging before rendering 3D model current mobile device.Core cpu with current device
Number to create thread pool as the capacity of thread pool.Then each the 3D model file being respectively stored on external equipment is created respectively
Build 3D model data loading tasks.Data loading tasks are used for loading the vertex data of 3D model file, normal vector data, texture
Coordinate data, face data, material quality data are to internal memory.It is respectively created rendering task for each 3D model again.Finally again by all numbers
It is submitted in the buffer queue of thread pool according to loading tasks, data loading tasks are concurrently executed by thread pool.Appoint etc. data loading
After business is fully completed, rendering task is submitted in the buffer queue of thread pool, rendering task is concurrently executed by thread pool.?
After afterwards etc. all rendering tasks are finished, destroying threads pond free system resources.
The present invention has the advantages that with respect to prior art：The present invention is according to the central processing unit core of mobile device
Calculation is creating thread pool.Thread pool concurrently to execute asynchronous 3D model file number with the several worker thread of central processing unit core
According to loading tasks, asynchronous 3D model rendering task.Whole process has given full play to the process performance of multinuclear mobile device.And it is every
Individual task all executes in an asynchronous manner, eliminates the synchronization overhead between each task.Multinuclear therefore can be greatly improved move
Equipment loads and renders the speed of 3D model.
Brief description
Fig. 1 is the flow chart of the present invention.
Specific embodiment
Below in conjunction with accompanying drawing, the invention will be further described.
As shown in figure 1, the concurrently loading of 3D model and rendering intent comprise the steps on multinuclear mobile device：
Step one：Obtain the CPU core calculation of current mobile device, specifically：
The operating system being used according to mobile device, directly uses the API of operating system offer or by judging literary composition
The number of files of the CPU information CPU core calculation to obtain current mobile device is deposited in part system.Operating system includes but is not limited to
IOS system and android system.
For the mobile device of IOS, the core number of CPU can be obtained using " sysctlbyname " function；
For the mobile device of Android operation system, by judging "/sys/devices/system/cpu/ " catalogue
The core number to obtain CPU for the number of files of lower record CPU information.The number of files of record CPU information is the core number of CPU；
Step 2：Create the thread pool that capacity is CPU core calculation, specifically：
Create the thread pool number variable nThread of an integer, the CPU core calculation being obtained by the first step is assigned to variable
nThread；
Thread pool class in the application development tool kit of the operating system being used using mobile device creates capacity
Thread pool for nThread, operating system includes but is not limited to IOS system and android system；
For the mobile device of IOS, using " NSOperation " in IOS application development tool kit
To create thread pool, to use
″queue setMaxConcurrentOperationCount：NThread " sentence arrange thread pool capacity be
nThread；
For the mobile device of Android operation system, can use in Android application development tool kit "
Executors " class come to help create thread pool.Specifically used " Executors.newFixedThreadPool (nThread) "
To create the thread pool that capacity is nThread；
Step 3：It is respectively created asynchronous data loading tasks for each 3D model file, specifically：
First traversal is stored in the 3D model file on external equipment, and obtain each model file deposits path, and is placed in
In array；
Create asynchronous data loading tasks again, specific tasks flow process is：
Flow process one：File I/O is opened according to the file path of the 3D model file being stored in array；
Described 3D model file form includes OBJ form and 3DS form；
Flow process two：Extract the data of the 3D model file being stored on external equipment, including：Vertex data, normal vector data,
Texture coordinate data, face data, material quality data；
Flow process three：The 3D model data of extraction is individually packaged into a data object；
The data loading tasks number altogether creating is equal to the number of 3D model file；
Step 4：It is respectively created asynchronous rendering task for each 3D model, rendering task flow process is specifically：
Flow process one：Using the 3D model data in the 3D model data objects of step 3 encapsulation, it is paintbrush binding number of vertex
According to, normal vector data, texture coordinate data, face data, and material characteristic is set；
Flow process two：The gl.glDrawElements function of OpenGl ES is called to render 3D model.
The rendering task number altogether creating is equal to the number of 3D model file；
Step 5：All of asynchronous data loading tasks are concurrently executed by thread pool, specifically：
The all asynchronous data loading tasks being created by step 3 are submitted to the slow of the thread pool being created by step 2
Rush in queue；
Start thread pool, be executed concurrently all asynchronous data loading tasks in buffer queue.
Step 6：All of asynchronous rendering task is concurrently executed by thread pool, specifically：
After being all finished etc. the asynchronous data loading tasks of step 5, all of rendering task is submitted to by step
In the buffer queue of two thread pools being created；
Start thread pool, be executed concurrently all asynchronous rendering tasks in buffer queue；
After being finished etc. all asynchronous rendering tasks, destroying threads pond free system resources.
Claims (1)
1. the concurrently loading of 3D model and rendering intent on multinuclear mobile device, its feature comprises the following steps：
Step one：Obtain the CPU core calculation of current mobile device, specifically：
The operating system being used according to mobile device, directly uses the API of operating system offer or by judging file system
The number of files of the CPU information CPU core calculation to obtain current mobile device is deposited in system；
Step 2：Create the thread pool that capacity is CPU core calculation, specifically：
Create the thread pool number variable of integer, the value of this variable is set to the CPU core calculation being obtained by step one；
Using the thread pool number variable of integer as the capacity parameter of thread pool, the operating system being used using mobile device should
Create the thread pool that capacity is CPU core calculation with the thread pool class in program development tools bag；
Step 3：It is respectively created asynchronous data loading tasks for each 3D model file, specifically：
First traversal is stored in the 3D model file on external equipment, and obtain each model file deposits path, and is placed in array
In；
Create asynchronous data loading tasks again, tool flow of task is：
Flow process one：File I/O is opened according to the file path of the 3D model file being stored in array；
Flow process two：Extract the data of the 3D model file being stored on external equipment, including：Vertex data, normal vector data, texture
Coordinate data, face data, material quality data；
Flow process three：The 3D model data of extraction is individually packaged into a data object；
Step 4：It is respectively created asynchronous rendering task for each 3D model, rendering task flow process is specifically：
Flow process one：Using the 3D model data in the 3D model data objects of step 3 encapsulation, it is paintbrush binding vertex data, method
Vector data, texture coordinate data, face data, and material characteristic is set；
Flow process two：The gl.glDrawElements function of OpenGl ES is called to render 3D model；
Step 5：All of asynchronous data loading tasks are concurrently executed by thread pool, specifically：
The all asynchronous data loading tasks being created by step 3 are submitted to the buffering team of the thread pool being created by step 2
In row；
Start thread pool, be executed concurrently all asynchronous data loading tasks in buffer queue；
Step 6：All of asynchronous rendering task is concurrently executed by thread pool, specifically：
After being all finished etc. the asynchronous data loading tasks of step 5, all of rendering task is submitted to by step 2 institute
In the buffer queue of thread pool creating；
Start thread pool, be executed concurrently all asynchronous rendering tasks in buffer queue；
After being finished etc. all asynchronous rendering tasks, destroying threads pond free system resources.
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| CN105094920B (en) * | 2015-08-14 | 2018-07-03 | 网易（杭州）网络有限公司 | A kind of game rendering intent and device |
| CN106559447A (en) * | 2015-09-25 | 2017-04-05 | 中兴通讯股份有限公司 | The method for processing business and system of JSLEE containers |
| CN105245372A (en) * | 2015-10-12 | 2016-01-13 | 浪潮软件集团有限公司 | Optimization method for loading network resources based on cache and asynchronous mechanism |
| CN105979242A (en) * | 2015-11-23 | 2016-09-28 | 乐视网信息技术（北京）股份有限公司 | Video playing method and device |
| CN105741227A (en) * | 2016-01-26 | 2016-07-06 | 网易（杭州）网络有限公司 | Rending method and apparatus |
| CN111465966B (en) | 2018-05-31 | 2023-06-02 | 华为技术有限公司 | Apparatus and method for command stream optimization and enhancement |
| CN112596811B (en) * | 2020-12-17 | 2022-08-05 | 杭州艾芯智能科技有限公司 | Method, system, computer equipment and storage medium for reducing memory overhead by dynamic data loading |
| CN115035228B (en) * | 2022-06-08 | 2023-01-17 | 北京领为军融科技有限公司 | Rendering method for generating texture by reading satellite film file in real time through asynchronous io |
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