3D density inversion of gravity gradiometry data with a multilevel hybrid parallel algorithm

Hou Zhen-Long; Huang Da-Nian; Wang En-De; Cheng Hao

首页> 外文期刊>应用地球物理（英文版） >3D density inversion of gravity gradiometry data with a multilevel hybrid parallel algorithm

【24h】

3D density inversion of gravity gradiometry data with a multilevel hybrid parallel algorithm

机译：多层混合并行算法对重力梯度数据进行3D密度反演

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相关主题

摘要

The density inversion of gravity gradiometry data has attracted considerable attention; however, in large datasets, the multiplicity and low depth resolution as well as efficiency are constrained by time and computer memory requirements. To solve these problems, we improve the reweighting focusing inversion and probability tomography inversion with joint multiple tensors and prior information constraints, and assess the inversion results, computing efficiency, and dataset size. A Message Passing Interface (MPI)–Open Multi-Processing (OpenMP)–Computed Unified Device Architecture (CUDA) multilevel hybrid parallel inversion, named Hybrinv for short, is proposed. Using model and real data from the Vinton Dome, we confirm that Hybrinv can be used to compute the density distribution. For data size of 100×100×20, the hybrid parallel algorithm is fast and based on the run time and scalability we infer that it can be used to process the large-scale data.

机译：重力梯度数据的密度反演引起了广泛关注。但是，在大型数据集中，多重性和低深度分辨率以及效率受到时间和计算机内存需求的限制。为了解决这些问题，我们使用联合多个张量和先验信息约束来改善重加权聚焦反演和概率层析成像反演，并评估反演结果，计算效率和数据集大小。提出了一种消息传递接口（MPI）–开放多处理（OpenMP）–计算统一设备体系结构（CUDA）多级混合并行反转，简称为Hybrinv。使用来自Vinton Dome的模型和实际数据，我们确认Hybrinv可用于计算密度分布。对于100×100×20的数据大小，混合并行算法是快速的，并且基于运行时间和可伸缩性，我们推断它可以用于处理大规模数据。

著录项

来源
《应用地球物理（英文版）》 |2019年第2期|141-152|共12页
作者
Hou Zhen-Long; Huang Da-Nian; Wang En-De; Cheng Hao;
展开▼
作者单位

Key Laboratory of Ministry of Education on Safe Mining of Deep Metal Mines, School of Resources and Civil Engineering, Northeastern University, Shenyang 110819, China;

College of Geo-exploration Science and Technology, Jilin University, Changchun 130026, China;

Key Laboratory of Ministry of Education on Safe Mining of Deep Metal Mines, School of Resources and Civil Engineering, Northeastern University, Shenyang 110819, China;

Key Laboratory of Ministry of Education on Safe Mining of Deep Metal Mines, School of Resources and Civil Engineering, Northeastern University, Shenyang 110819, China;

展开▼
收录信息中国科学引文数据库(CSCD);
原文格式 PDF
正文语种 eng
中图分类
关键词

3D density inversion of gravity gradiometry data with a multilevel hybrid parallel algorithm

摘要

著录项

相关主题

期刊订阅