一种高效的大规模三维地形遥感影像纹理映射方法

针对大规模虚拟战场地理信息建模与绘制的需求,研究提出一种可充分发挥GPU和多CPU核微处理器处理能力的、高效的大规模三维地形遥感影像纹理映射方法。该方法直接利用GPU进行高效的纹理压缩解压,采用基于多CPU核微处理器的多线程并行调度策略,实现了视点相关的纹理数据的高效预取和调度,并根据等地理长度映射原理实现了单一精度的大规模遥感影像纹理数据在大规模LOD地形上的精确匹配。实验表明,此方法可有效提高大规模三维地理信息场景绘制的速度,纹理和地形的匹配精度高,增强了三维地理信息漫游的真实感。

大型服务器的软件嵌入式开发与改进设计

为了提高大型服务器的并行处理能力,进行软件嵌入式开发优化设计,提出一种基于分散控制和多线程并行调度的大型服务器软件开发技术。对服务器软件系统的网络管理模块、文件信息存储模块、总线控制模块和内核接口模块等子系统进行设计描述,在Linux/Windows CE开发平台下进行服务器的嵌入式设计,实现服务器信息处理的分散控制和多线程并行调度,提高服务器的运行效率。实验结果表明,该软件系统能提高服务器的并行处理效率,性能优于传统方法。

High performance computing of DGDFT for tens of thousands of atoms using millions of cores on Sunway TaihuLight

High performance computing(HPC)is a powerful tool to accelerate the Kohn–Sham density functional theory(KS-DFT)calculations on modern heterogeneous supercomputers.Here,we describe a massively parallel implementation of discontinuous Galerkin density functional theory(DGDFT)method on the Sunway Taihu Light supercomputer.The DGDFT method uses the adaptive local basis(ALB)functions generated on-the-fly during the self-consistent field(SCF)iteration to solve the KS equations with high precision comparable to plane-wave basis set.In particular,the DGDFT method adopts a two-level parallelization strategy that deals with various types of data distribution,task scheduling,and data communication schemes,and combines with the master–slave multi-thread heterogeneous parallelism of SW26010 processor,resulting in large-scale HPC KS-DFT calculations on the Sunway Taihu Light supercomputer.We show that the DGDFT method can scale up to 8,519,680 processing cores(131,072 core groups)on the Sunway Taihu Light supercomputer for studying the electronic structures of twodimensional(2 D)metallic graphene systems that contain tens of thousands of carbon atoms.