OpenMP并行计算在卫星重力数据处理中的应用

本文对新一代卫星重力数据处理中的计算密集型任务进行了分析,总结出需要采用并行计算技术提高效率的几个关键任务。对不同的并行手段进行了比较,采用了OpenMP并行方法,并通过算例验证了并行设计方法的有效性。结果表明,并行计算能明显提高GRACE/GOCE任务的数据处理效率。     

A strategy for raster-based geocomputation under different parallel computing platforms

The demand for parallel geocomputation based on raster data is constantly increasing with the increase of the volume of raster data for applications and the complexity of geocomputation processing. The difficulty of parallel programming and the poor portability of parallel programs between different parallel computing platforms greatly limit the development and application of parallel raster-based geocomputation algorithms. A strategy that hides the parallel details from the developer of raster-based geocomputation algorithms provides a promising way towards solving this problem. However, existing parallel raster-based libraries cannot solve the problem of the poor portability of parallel programs. This paper presents such a strategy to overcome the poor portability, along with a set of parallel raster-based geocomputation operators (PaRGO) designed and implemented under this strategy. The developed operators are compatible with three popular types of parallel computing platforms: graphics processing unit supported by compute unified device architecture, Beowulf cluster supported by message passing interface (MPI), and symmetrical multiprocessing cluster supported by MPI and open multiprocessing, which make the details of the parallel programming and the parallel hardware architecture transparent to users. By using PaRGO in a style similar to sequential program coding, geocomputation developers can quickly develop parallel raster-based geocomputation algorithms compatible with three popular parallel computing platforms. Practical applications in implementing two algorithms for digital terrain analysis show the effectiveness of PaRGO.     

OpenMP在水动力数学模型并行计算中的应用

采用PGI Fortran7.1-2(Portland Group)的OpenMP技术对二维水动力数学模型进行了并行优化试验。并行后,数学模型运行时间明显减少,在对同一算例的水流计算模拟中,串行和并行所需运行时间分别为5 336.781 s和3 454.296 s,平均加速比为1.56,平均并行计算节省时间36%,明显提高了水动力学数学模型的运算速度。     

基于OpenMP多核并行算法的垂线偏差快速计算

针对利用超高阶地球重力场模型计算大范围、高分辨率区域垂线偏差效率低的问题,提出基于OpenMP多核并行技术的数组升维和分区计算方法。实验表明,该方法计算垂线偏差的加速比最高达到5.6倍,显著提高了超高阶垂线偏差的计算效率,也为解决重力场数据处理过程中类似的快速计算问题提供了思路。     

OpenMP并行算法在卫星重力场模型反演中的应用

利用卫星重力数据反演地球重力场需要解决重力场模型的高效计算问题。分析了最小二乘直接法求解重力场模型涉及的密集型计算任务,基于OpenMP实现了卫星重力场模型直接求解的并行算法。利用30天、5秒采样间隔的沿轨扰动位T和径向扰动重力梯度Tr数据,分别反演了60阶次的卫星重力场模型,计算结果表明,OpenMP并行算法能够有效提高直接法求解卫星重力场模型的计算效率,并具有很好的稳定性。     

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基于OpenMP的并行图像相减算法实现与分析

图像相减是一种精确地获得密集星体区域中变星的相对光度变化的技术,其基本原理为通过同一区域不同时间的图像间差异来获得该区域的时间变化信息.传统上图像相减变源测光算法只有串行性算法,计算效率不高.讨论了图像相减测光算法的基本原理,在开源软件ISIS基础上提出了一个基于OpenMP技术的图像相减算法的可靠并行化实现,提高了程...