Graphics-Driver-Awared Heterogeneous Hardware-Accelerated Rendering Model

Abstract

Abstract: As 3D graphics acceleration hardware technologies become more sophisticated, heterogeneous hardware-accelerated rendering model is one of effective means to improve interactive performance of large-scale data visualization. A graphics-driver-awared heterogeneous hardware-accelerated rendering model was proposed, and adaptive matching graphics architecture and graphics driver library in complex environment-improved the interactive performance of graphics rendering. Key technologies include runtime virtual layer technology, redundant graphics driver pool, running IntelliSense methods and graphics driver library dynamic loading technology. In practical application of visual analysis of nuclear reactor average flux, interactive performance of heterogeneous hardware rendering model available about 14 times speedup, has a certain practicality.

Key words: intellisense method, virtual layer, graphics driver architecture, rendering model

CLC Number:

TP391

Ai Zhiwei, Cao Yi, Xiao Li, Wang Huawei. Graphics-Driver-Awared Heterogeneous Hardware-Accelerated Rendering Model[J]. Journal of System Simulation, 2016, 28(10): 2394-2399.

References 11

[1]	Xiao Li, Ai Zhiwei, Wang Hongkun.Parallel visualization of the simulations on tens of thousands of cores[J]. Computer Engineering & Science (S1007-130X), 2012, 34(8): 160-165.
[2]	沈卫超, 曹立强, 夏芳, 等. 面向数值模拟数据的HDF5性能优化[J]. 计算机研究与发展, 2012, 49(增1): 314-318.
[3]	Engel K, Kraus M, Th Ertl.High-quality pre-integrated volume rendering using hardware-accelerated pixel shading[C]// Eurographics Workshop on Graphics Hardware‘01, ACM SIGGRAPH, 2001. USA: ACM, 2001: 9-16.
[4]	张纯, 毛菁霞, 张如鸿, 等. 基于图形硬件加速的体绘制关键技术综述[J]. 计算机工程与设计, 2005, 26(7): 1732-1734.
[5]	刘华海, 王攀, 蔡勋, 等. 面向多核CPU多GPU的节点内并行混合绘制模型[J]. 系统仿真学报, 2012, 24(1): 94-99.
[6]	张翀, 赵刚, 江勇. 基于VxWorks操作系统的三维图形驱动开发[J]. 四川理工学院学报(自然科学版), 2009, 22(2): 62-64.
[7]	朱奕杰. 基于Linux的OpenGL性能及其跨平台应用程序开发研究 [D]. 哈尔滨: 哈尔滨工程大学, 2006.
[8]	赵海涛, 张晓明, 樊双丽, 等. 跨多种平台的OpenGL解决方案[J]. 测控技术, 2012, 31(8): 102-104.
[9]	官酩杰. 基于OpenGL ES的移动平台图形渲染引擎研究与实现 [D]. 北京: 北京交通大学, 2010.
[10]	金锋, 武志辉. 轻量级嵌入式Linux图形驱动程序与图形用户接口[J]. 北京理工大学学报, 2008, 28(3): 233-236.
[11]	李刚, 张宝印, 邓力, 等. 大内存精细反应堆模型的蒙特卡罗区域分解并行计算[J]. 核动力工程, 2014, (增2): 228-230.

[1]	Dong Zhiming, Hu Zhongqi, Dai Haoran, Gao Jiancheng. An Automated Generation Method for Combat Simulation Scenarios Based on Large Language Models [J]. Journal of System Simulation, 2026, 38(5): 1129-1145.
[2]	Li Xiaonan, Chao Tao, Ma Ping, Yang Ming, Wang Yuxuan. Robust Identification of Black-box Nonlinear SSM Using Expectation-maximization [J]. Journal of System Simulation, 2026, 38(5): 1146-1158.
[3]	Liu Yingang, Ma Ming, Zhang Ronghua. Dynamic Task Planning for Wargaming Based on Large Language Models [J]. Journal of System Simulation, 2026, 38(5): 1187-1204.
[4]	Su Hongjia, Zhang Cheng, Liu Fei. SoS Effectiveness Evaluation Method Based on Fuzzy Functional Dependency Network Analysis [J]. Journal of System Simulation, 2026, 38(5): 1224-1238.
[5]	Mei Huawei, Yang Penghui, Yu Yang. Ultra-short-term Photovoltaic Power Prediction Based on Improved PatchTST Considering Data Drift [J]. Journal of System Simulation, 2026, 38(5): 1239-1254.
[6]	Li Quan, Su Peng, Wan Haiying, Zhang Chengxi, He Zhijian, Ni Yiyang, Zhao Zhonggai, Liu Fei. Modeling of Penicillin Fermentation Process Based on a Multi-stage LHS-EPRCC Method [J]. Journal of System Simulation, 2026, 38(5): 1255-1276.
[7]	Zhou Zicong, Zeng Junjie, Hu Yue, Zhu Zhengqiu, Yin Quanjun. Multi-agent Reinforcement Learning Method for Wargame Simulation Based on Suboptimal Demonstration Guidance [J]. Journal of System Simulation, 2026, 38(5): 1277-1289.
[8]	Shi Min, Guo Shisheng, Wang Suqin, Li Zhaoxin, Zhu Dengming. Annotation-free 6-DoF Grasp Detection Method Integrating Physical and Geometric Priors [J]. Journal of System Simulation, 2026, 38(5): 1290-1302.
[9]	Jiang Yanji, Xiao Xingyi, Dong Hao, Yu Miao, Huang Jinshan, Liu Daqian, Fei Bowen. Detection Method for 3D Lanes Based on Graph Relationship Optimization Integrating Point and Lane Features [J]. Journal of System Simulation, 2026, 38(5): 1303-1319.
[10]	Zhang Xin, Zhang Ping, Zhang Chen, Liu Wei, Han Boyang. Research on Calculation Model of Excavation Resistance Under Heterogeneous Soil Conditions [J]. Journal of System Simulation, 2026, 38(5): 1320-1332.
[11]	Tao Ye, Tang Jinhui, Zhou Chen, Wang Chong. Research on Completion Method for Trajectory Based on Image Representation and Collaborative Feature Perception [J]. Journal of System Simulation, 2026, 38(5): 1333-1349.
[12]	Wang Wei, Liu Dong, Cui Xinhao, Li Bo, Xiao Yiyong, Ren Yi. Multi-level Digital Model of Dynamic Earned Value Management for Complex Engineering Projects and Its Applications [J]. Journal of System Simulation, 2026, 38(5): 1350-1364.
[13]	Peng Lijun, Su Tingqi, Liu Peijin, He Lin, Zhou Xiewu, Zhang Minxin. Detection Method for Laboratory PPE Compliance Wearing Based on Human Key Points [J]. Journal of System Simulation, 2026, 38(5): 1365-1382.
[14]	Teng Jing, Tong Wencong, Zhang Zhongjie, Yao Xing, Li Junxian. Automatic Speed Guidance Method and Simulation Evaluation for Trams at Intersections [J]. Journal of System Simulation, 2026, 38(5): 1426-1439.
[15]	Fan Shuanghao, He Fang, Zhao Jianwei, Hu Haojie, Zhu Fengchao, Li Xiangyang. Hyperspectral Anomaly Detection Algorithm Based on Window Reconstruction and Collaborative Representation [J]. Journal of System Simulation, 2026, 38(5): 1440-1452.