【摘要】 随着多核处理器的普及,并为了充分利用多核PC机的特性,计算机技术逐渐向多核架构及多核计算技术发展。为提高对湖南地区100m×100m小网格气温插值的速度,采用以OpenMP为标准的基于共享存储的并行编程模型对Kriging插值算法进行改进。在不同核的多核PC机中,采用100m×100m小网格和500m×500m小网格地形数据对平均气温进行插值,不仅有效减少了插值时间和提高了算法的加速比,而且集成到业务系统中大大提升了系统的反应时间及性能。更多还原

【Abstract】 With the popularity of multi-core processors,full use of multi-core PC’s performance,computer technology is increasingly to multi-core architecture and multi-core computing technology development.To improve the small Hunan 100m × 100m grid interpolation rate of temperature,using the OpenMP standard for shared memory based parallel programming model to achieve the kriging interpolation algorithm based on OpenMP.Different multi-core PC,using a small grid 100m × 100m and 500m × 500m grid terrain data for a small average temperature for interpolation,not only effectively reduce the time and interpolation algorithms to improve the speedup,and significantly integrated into business systems enhance the system’s response time and performance.更多还原