摘要
笔者介绍了一种在PGI Fortran平台上开发的重力三维GPU并行反演算法。该方法采用重加权正则化共轭梯度算法(Re-Weight Regularized Conjugate Gradient),可以在具有NVIDIA显卡的个人计算机上使用CUDA进行并行计算,无需借助工作站即可实现几十至上百倍的计算加速,提供稳定可信的反演结果。并对可视化操作系统进行了优化,实现了在高端计算机系统上亿网格点的反演计算,同时在中、低端计算机也可以实现加速。模型计算结果表明,该算法是一种高效且可靠的重力三维反演并行方法。
We introduce a new 3D parallelgravity inversion method based on CUDA GPU in PGI Fortran,which could be used in PCs and Laptops with NVDIA graphic cards to accelerate iteration speed for Re-Weight Regularized Conjugate Gradient method up to hundreds times.Storage and threads optimization was made for visual OS, leading a more than 0.1 billion cell＇s number for inversion in PCs.The result of model study shows that this method is an efficient and believable parallel computing algorithm.
出处
《物探与化探》
CAS
CSCD
2016年第1期179-184,共6页
Geophysical and Geochemical Exploration
基金
国家自然科学基金项目(41574074
41430319)
