共查询到20条相似文献，搜索用时 203 毫秒
1.
FORTRAN M在重磁数据处理中的应用 总被引：1，自引：0，他引：1
陈国顺 《长春地质学院学报》1997,27(4):451-454
介绍了ＦｏｒｔｒａｎＭ的基本概念和特点。ＦｏｒｔｒａｎＭ是一个支持分布式环境中并行计算的Ｆｏｒｔｒａｎ语言新成员，它在Ｆｏｒｔｒａｎ７７上扩充而成，不仅能支持数据并行程序设计，而且能支持任务并行程序设计。在重磁数据处理中，常常要进行大计算量的运算，如果采用并行计算方法，可以大大提高低档机器的运算能力，降低运算费用，缩短处理周期。本文用ＦｏｒｔｒａｎＭ把ＧＭＰＳ改造成并行计算系统ＧＭＰＳ－ＦＭ，经实 相似文献
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微机网络并行计算及2.5维CSAMT正演的并行实现 总被引：5，自引：2，他引：5
本简要介绍了如何建立一个简单、易行的微机网络并行计算的开发环境。在该并行环境上完成了２．５维ＣＳＡＭＴ有限单元正演的并行程序，并且获得较好的速比。 相似文献
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金刚石中岩浆熔融包裹体 总被引：1，自引：0，他引：1
在我国数颗金刚石发现了罕见的岩浆熔融包裹体。包裹体质由球粒和基体组成，球粒主要为Ｆｅ质球、Ｓｉ－Ｆｅ质球和Ｓｉ－Ｆｅ－Ｍｇ质球，基体成成Ｓｉ－Ａｌ－Ｋ质、Ｓｉ－Ｍｇ－Ｆｅ质和Ｓｉ－Ｆｅ－Ｃａ质等。不同金刚石中包裹成分变化较大，推测包裹体（球体和基体）是经熔离作用的岩浆熔体在温度下降、氧速度很低和淬火作用条件下形成的。金刚石的结晶可能与火山喷发作用有关。 相似文献
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在叠前深度偏移和非零炮检距声波方程正演计算过程中包含了大量的可并行计算的成分。作者在本文中提出叠前正演模拟与偏移的网络并行计算算法，并基于TCP／IP协议，将该算法设计成网络并行处理程序，极大地提高了计算效率。实际运算结果证明，本文提出的并行算法和技术路线是切实可行的。 相似文献
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应用扫描电子显微镜对白山地区新厂期上斜正笔石式树形笔石的体壁进行了能谱分析，测出了笔石体壁中的Ｍｇ、Ｃａ、Ａｌ、Ｆｅ、Ｓｉ、Ｓ、Ｋ７种元素的含量，其中Ｍｇ、Ａｌ、Ｆｅ、Ｓｉ、Ｓ、Ｋ６种元素含量稳定，含量从高到低依次为Ｆｅ、Ｓｉ、Ａｌ、Ｓ、Ｍｇ、Ｋ。这６种元素能是构成笔石体壁原始化学成分中的重要元素。 相似文献
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本文介绍一种基于γ－循环阵快速分解方法的、新的基数为２的ＤＦＴ快速算法；该算法与具有最小乘法数的Ｐｒｅｕｓｓ算法比较，新算法的乘法数接近Ｐｒｅｕｓｓ算法，但其加法数仅为它的７５％。在Ｓｕｎ－ＳＰＡＲＣＳｔａｔｉｏｎ２工作站上，采用Ｆｏｒｔｒａｎ７７语言编程实现，结果表明：新算法在阶数（Ｎ）小于１０２４时，速度比分裂基（Ｓｐｌｉｔ—Ｒａｄｉｘ）算法快。如果进一步考虑算法中的固定常数乘法，那么新算法将会更加有效。 相似文献
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滑坡数据库管理信息系统 总被引：3，自引：0，他引：3
滑坡数据库管理信息系统由数据库和数据管理系统两部分组成，为滑坡研究提供了系统工具，针对滑坡数据特征，运用Ｆｏｘｐｒｏ，ＴｕｒｂｏＣ，Ｆｏｒｔｒａｎ汇编等多种语言混合编程，开发了重钢滑坡数据管理的信息系统。本文在此基础上，详细介绍了系统的设计思路及实现方法，数据库及数据管理系统的结构，功能及其特点。 相似文献
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超灵敏加速器质谱计测定^32Si样品制备新技术 总被引：1，自引：0，他引：1
介绍了制备元素硅的一种化学方法，它可用于ＡＭＳ装置的离子源。含硅的物质溶解在ＨＦ中，用ＬｉＡｌＨ４把ＳｉＦ４还原成ＳｉＨ４，再将ＳｉＨ４加热分解成元素硅，并且沉淀在石墨盘上，用ＡＭＳ测定ｗ３２Ｓｉ／ｗＳｉ总比值，其灵敏度可达１０＾－１３。 相似文献
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中国油、气源岩有机成分成因划分及地化特征 总被引：1，自引：0，他引：1
作者根据十余年对中国油、气源岩研究，遵循对源岩显微，超微两个层次有机成分，一方面使用ＭＰＶ－Ⅲ、ＴＥＭ、ＳＥＭ、Ｍｉｃｒｏ－ＦＴＩＲ和ＳＩＭＳ来阐明其岩石学和地化特征；另一方面对单组分和全岩样使用小玻管高压釜方法并结合有机岩石学和地化分析来阐明成烃规律。在此基础上提出了中国油、气源岩有机质的分类方案。 相似文献
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浙江西裘晚元古代层状硅质岩热水沉积地球化学标志及其沉积环境意义 总被引：17，自引：0，他引：17
在浙江西裘地区晚元古界地层中存在与地层整合产出的层状硅质岩。硅质岩富Ｆｅ、Ｍｎ，相对贫Ａ１，富集Ａｓ、Ｓｂ、Ｂｉ、Ｇａ，稀土元素总量低，铈负异常，重稀土相对富集，具热水沉积硅质岩的地球化学特征。在Ａ１－Ｆｅ－Ｍｎ和Ｆｅ－Ｍｎ－（Ｎｉ＋Ｃｏ＋Ｃｕ）三角图上均属于热水沉积硅质岩。硅质岩硅、氧同位素地球化学也显示其热水成因之特点。硅质岩的ＭｎＯ／ＴｉＯ２、δＣｅ和δ３０Ｓｉ值分析表明本区层状硅质岩主要是在深海环境下沉积的。硅质岩形成温度较高，约为８２－１６５℃。 相似文献
11.
Viewshed analysis is widely used in many terrain applications such as siting problem, path planning problem, and etc. But viewshed computation is very time-consuming, in particular for applications with large-scale terrain data. Parallel computing as a mainstream technique with the tremendous potential has been introduced to enhance the computation performance of viewshed analysis. This paper presents a revised parallel viewshed computation approach based on the existing serial XDraw algorithm in a distributed parallel computing environment. A layered data-dependent model for processing data dependency in the XDraw algorithm is built to explore scheduling strategy so that a fine-granularity scheduling strategy on the process-level and thread-level parallel computing model can be accepted to improve the efficiency of the viewshed computation. And a parallel computing algorithm, XDraw-L, is designed and implemented taken into account this scheduling strategy. The experimental results demonstrate a distinct improvement of computation performance of the XDraw-L algorithm in this paper compared with the coarse-partition algorithm, like XDraw-E which is presented by Song et al. (Earth Sci Inf 10(5):511–523, 2016), and XDraw-B that is the basic algorithm of serial XDraw. Our fine-granularity scheduling algorithm can greatly improve the scheduling performance of the grid cells between the layers within a triangle region. 相似文献
12.
在瞬变电磁测深反演中运用并行技术可以减少计算时间,提高反演的运算效率。MPI（Message Passing Interface）是目前最重要的并行编程工具,它具有移植性好、功能强大、效率高等多种优点。这里基于在Windows系统下使用FORTRAN和MPICH2相结合的开发工具,编写瞬变电磁并行算法程序,对瞬变电磁一维采用直接反演法,通过理论模型对该算法进行试算,计算结果证明了该算法的正确性、高效性和稳定性。 相似文献
13.
Gang-Hai Huang Yuan-Zhen Xu Xiong-Wei Yi Ming Xia Yu-Yong Jiao Shu Zhang 《国际地质力学数值与分析法杂志》2020,44(9):1301-1314
The efficiency of solving equations plays an important role in implicit-scheme discontinuous deformation analysis (DDA). A systematic investigation of six iterative methods, namely, symmetric successive over relaxation (SSOR), Jacobi (J), conjugate gradient (CG), and three preconditioned CG methods (ie, J-PCG, block J-PCG [BJ-PCG], and SSOR-PCG), for solving equations in three-dimensional sphere DDA (SDDA) is conducted in this paper. Firstly, simultaneous equations of the SDDA and iterative formats of the six solvers are presented. Secondly, serial and OpenMP-based parallel computing numerical tests are done on a 16-core PC, the result of which shows that (a) for serial computing, the efficiency of the solvers is in this order: SSOR-PCG > BJ-PCG > J-PCG > SSOR>J > CG, while for parallel computing, BJ-PCG is the best solver; and (b) CG is not only the most sensitive to the ill-condition of the equations but also the most time consuming under both serial and parallel computing. Thirdly, to estimate the effects of equation solvers acting on SDDA computations, an application example with 10 000 spheres and 200 000 calculation steps is simulated on this 16-core PC using serial and parallel computing. The result shows that SSOR-PCG is about six times faster than CG for serial computing, while BJ-PCG is about four times faster than CG for parallel computing. On the other hand, the whole computation time using BJ-PCG for parallel computing is 3.37 hours (ie, 0.061 s per step), which is about 36 times faster than CG for serial computing. Finally, some suggestions are given based on this investigation result. 相似文献
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VB与Visual Fortran混合语言编程及其在物探化探数值计算中的应用 总被引：1，自引：0，他引：1
作者在本文中详细介绍了VB与Visual Fortran(VB\VF)混合语言编程技术，尤其是对怎样用VB语言调用Fortran动态连接库（DLL）进行了详细的说明。将VB\VF进行混合语言编程一方面可以达到这两种语言的优势互补的目的，另一方面可以再利用前人留下的大量成熟的Fortan程序，避免了重复编程和资源浪费，节约了大量编程时间。混合语言编程在物探化探数值计算中是一种很有前途的编程方法。 相似文献
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VC与Fortran混合编程及其在大地电磁测深中的应用 总被引：14，自引：4，他引：10
Ｆｏｒｔｒａｎ语言是目前流行较广的适用于科学计算的高级语言,ＶＣ（Ｖｉｓｕａｌ Ｃ）更擅长图形系统的开发,因此,在开发交互式解释系统软件时,常常将ＶＣ与Ｆｏｒｔｒａｎ进行混合语言编程。目前,大地电磁测深的处理与正、反演软件都是用Ｆｏｒｔｒａｎ语言编写的,为了避免资源的浪费,提高大地电磁测深的资料处理与解释系统的开发效率,在开发大地电磁测深一维交互式解释系统时,对大地电磁测深中的计算部分仍用现有的Ｆ 相似文献
18.
《Physics and Chemistry of the Earth, Part A: Solid Earth and Geodesy》1999,24(2):131-137
Cellular Automata (CA), a paradigm of parallel computing, represent an alternative to differential equations and are used for modelling and simulating very complex phenomena; CA models have been developed by our research group for the simulation of landslides. We present SCIDDICA-3, our most efficient model, a two-dimensional CA model together with the simulation results of the Mount Ontake (Japan) debris avalanche which occurred in 1984. Landslides are viewed as a dynamic system based exclusively on local interactions with discrete time and space, where space is represented by square cells, whose specifications (states) describe physical and chemical characteristics (friction, viscosity, altitude, debris thickness, etc.) of the corresponding portion of space. At the time t=0, cells are in states which describe initial conditions; the CA evolves then changing the state of all cells simultaneously at discrete times. Input for each cell is given by the states in the adjacent cells; the outflow computation from the cells gives the evolution of the phenomenon. The comparison between the real and simulated event is satisfying within limits to forecast the surface covered by debris. 相似文献
19.
Hector A. Duran-Limon Jesus Flores-Contreras Nikos Parlavantzas Ming Zhao Angel Meulenert-Peña 《Earth Science Informatics》2016,9(3):365-382
There are many scientific applications that have high performance computing (HPC) demands. Such demands are traditionally supported by cluster- or Grid-based systems. Cloud computing, which has experienced a tremendous growth, emerged as an approach to provide on-demand access to computing resources. The cloud computing paradigm offers a number of advantages over other distributed platforms. For example, the access to resources is flexible and cost-effective since it is not necessary to invest a large amount of money on a computing infrastructure nor pay salaries for maintenance functions. Therefore, the possibility of using cloud computing for running high performance computing applications is attractive. However, it has been shown elsewhere that current cloud computing platforms are not suitable for running some of these kinds of applications since the performance offered is very poor. The reason is mainly the overhead from virtualisation which is extensively used by most cloud computing platforms as a means to optimise resource usage. Furthermore, running HPC applications in current cloud platforms is a complex task that in many cases requires configuring a cluster of virtual machines (VMs). In this paper, we present a lightweight virtualisation approach for efficiently running the Weather Research and Forecasting (WRF) model (a computing- and communication-intensive application) in a cloud computing environment. Our approach also provides a higher-level programming model that automates the process of configuring a cluster of VMs. We assume such a cloud environment can be shared with other types of HPC applications such as mpiBLAST (an embarrassingly parallel application), and MiniFE (a memory-intensive application). Our experimental results show that lightweight virtualisation imposes about 5 % overhead and it substantially outperforms traditional heavyweight virtualisation such as KVM. 相似文献
20.
非连续变形分析（DDA）方法严格满足平衡要求和能量守恒,具有完全的运动学及数值可靠性,但对大规模岩土工程问题的数值模拟耗时太长,尤其是线性方程组求解,并行计算可以很好地解决该问题。首先基于DDA方法的基本理论,阐述了适用于DDA方法中的基于块的行压缩法和基于“试验-误差”迭代格式的非零位置记录;其次,引入块雅可比迭代法并行求解DDA方法的线性方程组,并改进了相应的非零存储方法;最后,基于OpenMP实现了DDA线性方程组求解并行计算,并将其应用于地下洞室群的破坏过程分析,以加速比为并行效率的指标评价,结果表明,该并行计算策略可以极大提高DDA的计算效率,而且适合各种规模的问题。 相似文献