[1]刘晖[] [],田泽[][],马城城[][],等. 图形处理显示列表的设计与实现[J].计算机技术与发展,2016,26(04):119-122.
　LIU Hui[][],TIAN Ze[][],MA Cheng-cheng[][],et al. Design and Realization of Display List Function in Graph Process[J].,2016,26(04):119-122.
点击复制

 图形处理显示列表的设计与实现()
分享到：

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
26
期数:
2016年04期
页码:
119-122
栏目:
应用开发研究
出版日期:
2016-04-10

文章信息/Info

Title:
 Design and Realization of Display List Function in Graph Process
文章编号:
1673-629X（2016)04-0119-04
作者:
 刘晖[1] [2]; 田泽[1][2];  马城城[1][2];  张骏[1] [2]; 薛凌艺[3]
1. 中国航空工业西安航空计算技术研究所；2.集成电路与微系统设计航空科技重点试验室；3.西安翔腾微电子科技有限公司
Author(s):
 LIU Hui[1][2]; TIAN Ze[1][2];  MA Cheng-cheng[1][2];  ZHANG Jun[1] [2]; XUE Ling-yi[3]
关键词:
 ; 图形处理器; OpenGL; 显示列表; 空间管理
Keywords:
 ; GPU; OpenGL; display list; memory management
分类号:
TP39
文献标志码:
A
摘要:
 显示列表功能是图形处理器3D处理引擎的核心功能，通过将一段图形绘制指令存储到图形处理器内部，来完成复杂场景下同一物体的重复绘制。该功能极大地减少了主机与图形处理器之间的数据吞吐量，降低数据带宽的压力、高效地绘制复杂场景。文中基于Xilinx XC7VX1140T构建FPGA原型系统，参考ALT-M9芯片的实现能力，提出了一种软硬件协同方式的显示列表设计实现方法。该方法充分利用了CPU与GPU的处理能力，灵活实现了图形处理命令在不同实现方式下显示列表的设计与实现。验证结果表明，软硬件协同方式实现的显示列表性能优越，空间分配管理灵活，可靠性高。
Abstract:
 Display list is the core function of 3D process engine in GPU,through storing a number of graph commands to GPU to com-plete repeat drawing for the same object in complex scene. It reduces the amount of data between CPU and GPU in a large degree,and lows pressure of data bandwidth and draws complex scene efficiently. Based on FPGA system built by Xilinx XC7VX1140T,taking a consideration in the capability of ALT-M9 chip,a method of collaborating hardware and software in display list design and realization is proposed. This method makes full use of the ability with CPU and GPU to complie the display list flexibly based on different way in graph commands realization. Verification results show that performance of collaborating hardware and software in display list is superior, with flexible the space allocation management and high reliability.

相似文献/References:

[1]马城城,田泽,黎小玉.基于GPU FPGA芯片原型的VxWorks下驱动软件开发[J].计算机技术与发展,2013,(07):84.
　MA Cheng-cheng,TIAN Ze,LI Xiao-yu.Development of Driver Software for GPU Based on FPGA in VxWorks[J].,2013,(04):84.
[2]曾文权,胡玉贵,何拥军,等.一种基于OPENACC的GPU加速实现高斯模糊算法[J].计算机技术与发展,2013,(07):147.
　ZENG Wen-quan[],HU Yu-gui[],HE Yong-jun[],et al.Implementation of a Gaussian Blur Algorithm Based on GPU Accelerated by OPENACC[J].,2013,(04):147.
[3]张志宏,吴庆波,邵立松,等.基于飞腾平台TOE协议栈的设计与实现[J].计算机技术与发展,2014,24(07):1.
　ZHANG Zhi-hong,WU Qing-bo,SHAO Li-song,et al. Design and Implementation of TCP/IP Offload Engine Protocol Stack Based on FT Platform[J].,2014,24(04):1.
[4]梁文快,李毅. 改进的基因表达算法对航班优化排序问题研究[J].计算机技术与发展,2014,24(07):5.
　LIANG Wen-kuai,LI Yi. Research on Optimization of Flight Scheduling Problem Based on Improved Gene Expression Algorithm[J].,2014,24(04):5.
[5]黄静,王枫,谢志新,等. EAST文档管理系统的设计与实现[J].计算机技术与发展,2014,24(07):13.
　HUANG Jing,WANG Feng,XIE Zhi-xin,et al. Design and Implementation of EAST Document Management System[J].,2014,24(04):13.
[6]侯善江[],张代远[][][]. 基于样条权函数神经网络P2P流量识别方法[J].计算机技术与发展,2014,24(07):21.
　HOU Shan-jiang[],ZHANG Dai-yuan[][][]. P2P Traffic Identification Based on Spline Weight Function Neural Network[J].,2014,24(04):21.
[7]李璨,耿国华,李康,等. 一种基于三维模型的文物碎片线图生成方法[J].计算机技术与发展,2014,24(07):25.
　LI Can,GENG Guo-hua,LI Kang,et al. A Method of Obtaining Cultural Debris’ s Line Chart Based on Three-dimensional Model[J].,2014,24(04):25.
[8]翁鹤,皮德常. 混沌RBF神经网络异常检测算法[J].计算机技术与发展,2014,24(07):29.
　WENG He,PI De-chang. Chaotic RBF Neural Network Anomaly Detection Algorithm[J].,2014,24(04):29.
[9]刘茜[],荆晓远[],李文倩[],等. 基于流形学习的正交稀疏保留投影[J].计算机技术与发展,2014,24(07):34.
　LIU Qian[],JING Xiao-yuan[,LI Wen-qian[],et al. Orthogonal Sparsity Preserving Projections Based on Manifold Learning[J].,2014,24(04):34.
[10]尚福华,李想,巩淼. 基于模糊框架-产生式知识表示及推理研究[J].计算机技术与发展,2014,24(07):38.
　SHANG Fu-hua,LI Xiang,GONG Miao. Research on Knowledge Representation and Inference Based on Fuzzy Framework-production[J].,2014,24(04):38.

更新日期/Last Update: 2016-06-16