Development and Performance Evaluation of Parallel Algorithms for Synthetic Seismograms

合成地震图并行算法的开发和性能评估

基本信息

  • 批准号:
    8812147
  • 负责人:
  • 金额:
    $ 10.2万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    1988
  • 资助国家:
    美国
  • 起止时间:
    1988-10-01 至 1991-12-31
  • 项目状态:
    已结题

项目摘要

This project will develop parallel algorithms for the description of problems in wave propagation. A series of models based on the two-dimensional wave equation will be considered. These are: i) the simplest representation of wave motion, as described by the acoustic wave equation ii) wave propagation described by the homogeneous formulation of the spatial displacements, and iii) the corresponding heterogeneous formulation for spatial displacement. Geometrically complex subsurface models can be investigated by the latter formulation. In each case parallel algorithms based on finite difference approximations will be implemented. The artificial boundaries to the physical domain can be replaced by a damping boundary layer or numerically absorbing boundaries. The accuracy and efficiency of the algorithms will be compared with their serial counterparts. Additionally, the pseudospectral method, which may be supposed to have greater accuracy, will be implemented for each of these models. Its accuracy and efficiency will be compared with the finite difference solutions.
这个项目将开发并行算法的描述 波传播的问题。 一系列基于 将考虑二维波动方程。 这些是: (1)最简单的波动表示,如所述 根据声波方程 ii)波传播由均匀 空间位移公式,以及 iii)对应的空间异构公式 位移 几何复杂的地下模型可以通过以下方式进行研究: 后一种配方。 在每种情况下,基于有限差分的并行算法 将进行近似计算。 人为的界限, 物理区域可以用阻尼边界层代替 或数值吸收边界。 精度及效率 的算法将与他们的串行 同行 此外,伪谱方法,这可能是假设, 更准确,将为每一个 模型 它的准确性和效率将与 有限差分解

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Rosemary Renaut其他文献

Special Issue on Mathematical Methods in Medical Imaging
  • DOI:
    10.1007/s10915-012-9576-9
  • 发表时间:
    2012-01-18
  • 期刊:
  • 影响因子:
    3.300
  • 作者:
    Anne Gelb;Rosemary Renaut;Svetlana Roudenko;Douglas Cochran
  • 通讯作者:
    Douglas Cochran

Rosemary Renaut的其他文献

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{{ truncateString('Rosemary Renaut', 18)}}的其他基金

Collaborative Research: Randomized Numerical Linear Algebra for Large Scale Inversion, Sparse Principal Component Analysis, and Applications
合作研究:大规模反演的随机数值线性代数、稀疏主成分分析及应用
  • 批准号:
    2152704
  • 财政年份:
    2022
  • 资助金额:
    $ 10.2万
  • 项目类别:
    Standard Grant
Approximate Singular Value Expansions and Solutions of Ill-Posed Problems
近似奇异值展开及不适定问题的解
  • 批准号:
    1913136
  • 财政年份:
    2019
  • 资助金额:
    $ 10.2万
  • 项目类别:
    Standard Grant
Collaborative Research: Computational techniques for nonlinear joint inversion
合作研究:非线性联合反演计算技术
  • 批准号:
    1418377
  • 财政年份:
    2014
  • 资助金额:
    $ 10.2万
  • 项目类别:
    Standard Grant
Algorithms for Total Least Squares: Development, Evaluation and Novel Applications
总体最小二乘算法:开发、评估和新颖应用
  • 批准号:
    0513214
  • 财政年份:
    2005
  • 资助金额:
    $ 10.2万
  • 项目类别:
    Continuing Grant
Scientific Computing Research Environments for the Mathematical Sciences (SCREMS)
数学科学的科学计算研究环境 (SCREMS)
  • 批准号:
    9977234
  • 财政年份:
    1999
  • 资助金额:
    $ 10.2万
  • 项目类别:
    Standard Grant
Mathematical Sciences: Numerical Solutions of Partial Differential Equations
数学科学:偏微分方程的数值解
  • 批准号:
    9402943
  • 财政年份:
    1995
  • 资助金额:
    $ 10.2万
  • 项目类别:
    Standard Grant
U.S.-Switzerland Cooperative Research on Order Stars, Riemann Surfaces, and Implicit Solutions of Hyperbolic Problems (Applied Mathematics)
美国-瑞士合作研究有序星、黎曼曲面和双曲问题的隐式解(应用数学)
  • 批准号:
    9123314
  • 财政年份:
    1992
  • 资助金额:
    $ 10.2万
  • 项目类别:
    Standard Grant

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