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重磁探测是金属矿勘探的主要手段之一,其处理和解释方法技术已得到很大的发展,研发与其相适应的重磁软件是重要的研究课题.在国家863课题的支持下,我们设计并研发了重磁处理解释集成化软件系统.在分析国内外现有软件不足的基础上,我们对重磁软件系统所应具有的操作行为进行了针对性的设计,提出了具有特色的功能设计思路,并进行了针对性的研发实现.为满足深部矿产资源勘探需求和精细化解释需要,提出了更加具有针对性的软件设计解决方案,研发了特色的处理解释模块,核心突出软件的实时可视化和协同交互操作,使软件系统能高效地服务于使用者的目标任务.在优化改进处理、正反演算法的基础上,提出多核并行化方案并实现,提高了软件整体运行速度.最终形成了将数据管理、数据可视化、数据处理及解释有机结合的特色软件系统,为金属矿探测提供了一个高效、有力的工具. 相似文献
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基于处理器制造工艺的提升接近极限,传统的单纯靠提高主频来提升性能已不适合时代需求,促使处理器从单核向多核转化。经过近年发展,多核处理器在当前成为主流配置,而气象程序大部分还是串行的,极大地浪费了处理器的计算资源。MPI和OpenMP作为两种主要的并行环境,具有各自的优势。MPI适用于分布式内存计算机,但是需要对程序进行的修改较多,难度大。OpenMP使用共享内存方式,对程序修改较少。相对来说,OpenMP更适合于多核处理器的并行计算。通过对CALMET进行OpenMP并行化加快CALMET运行速度的尝试,介绍了对串行程序进行OpenMP并行化的一般方法。主要步骤包括：对串行程序进行性能分析,找出计算时间最长的程序段进行并行改写;对循环进行OpenMP并行化,修改中间变量为单个线程私有;编译运行并行程序,进行性能比较;比较并行与串行的运行输出结果是否一致。 相似文献
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In this study, we contribute a comprehensive framework for simultaneously assessing solution quality and scalability for massively parallel multiobjective evolutionary algorithm (MOEA)-based search using a highly challenging optimization—assimilation application. Visual analytics are used to evaluate how changes in search metric performance relate to actual decision relevant changes in the Pareto approximate set. The application focuses on a four objective groundwater monitoring application in which parallel scalability is tested across compute core counts ranging from 64 to a maximum of 8192. This study demonstrates that parallel search performance must be assessed in terms of how well speedup is exploited to improve the quality of search results and that solely focusing on differences in computational time can be deceptive. Our results demonstrate how visualization can clarify when an MOEA’s search shifts from “translating” the approximation set to “diversifying” its coverage over the extent of the objectives. This is an important observation. If shorter parallel run durations are required, the rapid early translation of the set may yield a reasonable approximation of the Pareto approximate set where further search is unnecessary. Although a groundwater application is used to demonstrate our parallelization, the visual analytics and metrics utilized to characterize the parallel scalability of MOEA-based search are broadly applicable in water resources and beyond. 相似文献
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Inversion of gravity and/or magnetic data attempts to recover the density and/or magnetic susceptibility distribution in a 3D earth model for subsequent geological interpretation. This is a challenging problem for a number of reasons. First, airborne gravity and magnetic surveys are characterized by very large data volumes. Second, the 3D modelling of data from large‐scale surveys is a computationally challenging problem. Third, gravity and magnetic data are finite and noisy and their inversion is ill posed so regularization must be introduced for the recovery of the most geologically plausible solutions from an infinite number of mathematically equivalent solutions. These difficulties and how they can be addressed in terms of large‐scale 3D potential field inversion are discussed in this paper. Since potential fields are linear, they lend themselves to full parallelization with near‐linear scaling on modern parallel computers. Moreover, we exploit the fact that an instrument’s sensitivity (or footprint) is considerably smaller than the survey area. As multiple footprints superimpose themselves over the same 3D earth model, the sensitivity matrix for the entire earth model is constructed. We use the re‐weighted regularized conjugate gradient method for minimizing the objective functional and incorporate a wide variety of regularization options. We demonstrate our approach with the 3D inversion of 1743 line km of FALCON gravity gradiometry and magnetic data acquired over the Timmins district in Ontario, Canada. Our results are shown to be in good agreement with independent interpretations of the same data. 相似文献
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Reactive transport codes that use a Gibbs Energy Minimization (GEM) to solve chemical equilibria are uncommon. We present a new coupling of the Richards flow module of the Finite Element (FE) based OpenGeoSys code with the GEM based chemical solver GEMS3K. The coupled code is highly parallelized using an overlapping domain decomposition approach in combination with execution of multiple threads that solve chemical equilibria in parallel. FE reactive transport schemes are often affected by spurious concentration oscillations. We effectively suppress these oscillations with a linearized algebraic flux corrected transport (FCT) algorithm. An application example is presented which investigates the evolution of material interfaces in a deep geological repository for nuclear waste. The example uses all features of the new coupled code: flow and multi-component transport in variably saturated media, and a very complex chemical setup which makes extensive use of (non-linear) solid solution formulations for mineral phases. 相似文献
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从串行程序分析、并行方案选择到具体算法实现, 依次介绍了基于神威机的集合数值天气预报系统中“客观分析子系统”的并行化过程, 并给出了并行化后的性能评测。 相似文献
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This study uses a formal metrics-based framework to demonstrate the Master–Slave (MS) and the Multiple-Population (MP) parallelization schemes for the Epsilon-Nondominated Sorted Genetic Algorithm-II (ε-NSGAII). The MS and MP versions of the ε-NSGAII generalize the algorithm’s auto-adaptive population sizing, ε-dominance archiving, and time continuation to a distributed processor environment using the Message Passing Interface. This study uses three test cases to compare the MS and MP versions of the ε-NSGAII: (1) an extremely difficult benchmark test function termed DTLZ6 drawn from the computer science literature, (2) an unconstrained, continuous hydrologic model calibration test case for the Leaf River near Collins, Mississippi, and (3) a discrete, constrained four-objective long-term groundwater monitoring (LTM) application. The MP version of the ε-NSGAII is more effective than the MS scheme when solving DTLZ6. Both the Leaf River and the LTM test cases proved to be more appropriately suited to the MS version of the ε-NSGAII. Overall, the MS version of the ε-NSGAII exhibits superior performance on both of the water resources applications, especially when considering its simplicity and ease-of-implementation relative to the MP scheme. A key conclusion of this study is that a simple MS parallelization strategy can exploit time-continuation and parallel speedups to dramatically improve the efficiency and reliability of evolutionary multiobjective algorithms in water resources applications. 相似文献
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