共查询到19条相似文献，搜索用时 125 毫秒
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关于网格资源调度的探讨 总被引：2，自引：0，他引：2
随着计算机网络技术的飞速发展, 出现了第三代Internet技术网格计算(Grid Computing)。 网格是一种异构、 动态、 分布式的计算环境。 网格资源管理是网格的核心组件, 文中介绍了网格资源管理的特点, 分析了Globus工具集网格资源管理的核心组件。 网格资源调度是网格资源管理的核心部分, 也是网格资源管理中极其繁琐复杂的问题。 基于分析网格计算环境中资源管理的结构特点, 分析和总结了网格调度策略, 提出了多级资源调度模式, 给出了多级资源调度的模式。 相似文献
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基于GT3的网格计算平台的构建及应用 总被引：1，自引：0，他引：1
基于CEDAGrid项目的需求, 通过应用Web服务技术和网格计算技术, 构建了基于GT3的网格计算应用平台, 在有4个节点的网格计算平台上(其中只有3个节点参与了科学计算任务)进行了地震应力触发计算实例(以川滇地区为例, 共有17个断层), 系统耗时为13min25s, 如果只在一个节点上进行计算, 则需要时间为35min10s。 该实例的成功运行证明, 基于网格技术构建的计算平台可以解决传统的地震领域内的科学计算问题, 在时间效率上可以提高许多, 如果应力触发计算本身越复杂, 网格的计算资源越丰富, 网格计算的执行效率会体现的越优越。 通过这一科学计算试验为网格技术在地震领域的应用做了有意的探索。 相似文献
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本文利用交错网格、辅助网格、旋转交错网格、同位网格有限差分方法分别模拟了二维弹性TTI介质和二维黏弹性TTI介质中的地震波传播.在稳定性条件内,选用不同的网格间距及时间间隔,通过波场快照、合成理论地震图较为系统分析对比了这四种不同网格有限差分数值模拟在计算精度、CPU时间、相移、频散、以及保幅方面的优缺点.数值模拟结果表明:1)这四种不同网格有限差分算法都是很好的波场数值模拟算法;2)就CPU计算时间而言,旋转交错网格有限差分算法的计算效率最高;3)从计算精度来看,同位网格有限差分的计算精度最高;4)从振幅保护方面来看,四种网格的保护振幅的能力相当;5)相移方面,当网格间距增大时,交错网格和旋转交错网格有可能出现相移现象;6)频散方面,同位网格的频散现象不明显. 相似文献
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为研究网格间距对网格剪力墙抗震性能的影响，对两个竖肢中心距不同的小剪跨比网格剪力墙进行了拟静力试验及有限元分析。结果表明：横肢中心距相同、竖肢中心距分别为200 mm及300 mm的网格剪力墙破坏模式不同，竖肢中心距为200 mm的网格剪力墙下部和墙底角部混凝土破坏，破坏模式为剪压破坏；竖肢中心距为300 mm的网格剪力墙沿对角线主斜裂缝错动并产生滑移，破坏模式为剪拉破坏。两个试件的极限位移角均在1/100左右，竖肢中心距为300 mm的网格剪力墙刚度和承载力略大。有限元模拟结果与试验吻合良好，验证了模拟方法的有效性。提出了适用于不同间距网格墙的等效厚度计算方法，网格剪力墙可等效为实体剪力墙计算刚度和承载力。 相似文献
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基于平板探测器的锥束CT散射校正方法 总被引：2，自引：1，他引：1
针对基于平板探测器的锥束CT系统固然存在的散射伪影,提出在X射线源和被检测物体之间添加一个射束衰减网格装置的散射校正方法。本文首先介绍了射束衰减网格的实验装置,然后推导了基于射束衰减网格的锥束CT散射校正方法,最后通过圆柱样品实验验证了算法的可行性。实验结果表明,研究提出的散射校正方法能有效减少基于平板探测器的锥束CT系统散射伪影,提高了重建切片图像的质量。 相似文献
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介绍一种基于离散粒子理论地震波传播数值模拟的网格剖分计算方法.根据离散粒子理论,将研究区域划分为由一系列相互作用的粒子组成的正六边形网格,这些粒子在它们的接触点处发生相互作用,并用Hooke定律和Newton定律描述.为解决六边形网格带来的网格交错而难以计算以及波场输出问题,将横向网格进行加密,加密处赋予假想的粒子,输出波场时选取偶数行偶数列点或奇数行奇数列点的波场值.均匀介质和层状介质模型的数值模拟结果表明,该网格剖分计算方法能够将离散粒子理论用于模拟弹性波在非均匀各向同性介质中地震波的传播. 相似文献
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利用交错网格有限差分和旋转交错网格有限差分进行各向异性介质弹性波场数值模拟时, 质点振动速度分量与应力张量的网格节点定义方式均不相同, 从而对各向异性波场分离效果产生不同的影响. 针对这一问题, 本文以具有垂直对称轴的横向各向同性(VTI)介质的波场分离为例, 首先分析了两种网格的参数定义方式以及VTI介质波场的分离过程; 其次, 详细研究和分析了这两种网格的参数定义方式对各向异性介质波场分离的影响, 并依据波前面连续性以及波场分离效果等方面, 通过数值模拟实验对该影响进行分析验证. 结果表明, 旋转交错网格的参数定义方式更有利于进行各向异性介质波场数值模拟和波场分离. 相似文献
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Michael J. Tompkins Juan Luis Fernández Martínez Zulima Fernández Muñiz 《Geophysical Prospecting》2013,61(1):28-41
A new uncertainty estimation method, which we recently introduced in the literature, allows for the comprehensive search of model posterior space while maintaining a high degree of computational efficiency. The method starts with an optimal solution to an inverse problem, performs a parameter reduction step and then searches the resulting feasible model space using prior parameter bounds and sparse‐grid polynomial interpolation methods. After misfit rejection, the resulting model ensemble represents the equivalent model space and can be used to estimate inverse solution uncertainty. While parameter reduction introduces a posterior bias, it also allows for scaling this method to higher dimensional problems. The use of Smolyak sparse‐grid interpolation also dramatically increases sampling efficiency for large stochastic dimensions. Unlike Bayesian inference, which treats the posterior sampling problem as a random process, this geometric sampling method exploits the structure and smoothness in posterior distributions by solving a polynomial interpolation problem and then resampling from the resulting interpolant. The two questions we address in this paper are 1) whether our results are generally compatible with established Bayesian inference methods and 2) how does our method compare in terms of posterior sampling efficiency. We accomplish this by comparing our method for two electromagnetic problems from the literature with two commonly used Bayesian sampling schemes: Gibbs’ and Metropolis‐Hastings. While both the sparse‐grid and Bayesian samplers produce compatible results, in both examples, the sparse‐grid approach has a much higher sampling efficiency, requiring an order of magnitude fewer samples, suggesting that sparse‐grid methods can significantly improve the tractability of inference solutions for problems in high dimensions or with more costly forward physics. 相似文献
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Abdolrahim Javaherian 《地震学报(英文版)》1994,7(3):397-407
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Surface water storage—including wetlands and other small waterbodies—has largely been disregarded in traditional hydrological models. In this paper, the grid resampling method is adopted to study the influence of the digital elevation model (DEM) grid resolution on depression storage (DS) considering different rainfall return periods. It is observed that the DEM grid size highly affects DS, and the higher the grid resolution is, the larger the DS value. However, when the grid resolution reaches a certain value, the maximum DS value decreases. This suggests that a critical grid resolution value exists at which the water storage capacity of depressions is maximized, namely, 20 m in this work (except for the overall area simulation under infiltration). This phenomenon is further verified in two test cases with and without the infiltration process, that is, calculations of the local area and without infiltration area, respectively. This research may facilitate the accurate computation of the DS process, which is greatly affected by the grid resolution, thereby improving the reliability of hydrological models. 相似文献
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提出了一个新的水平跳点网格（LE网格），这种网格将h放置在格点上，u,v同时放置在x方向和y方向格点中间.并采用一种推导频散关系的通用方法，研究在该LE网格上与Arakawa A E网格上描述Rossby波产生误差的情况，分可分辨和不可分辨两种情况.采用二阶中央差或四阶紧致差分格式从频率和群速度两个方面进行对比分析，结果表明不论在可分辨或不可分辨情况下，还是采用二阶中央差或四阶紧致差分格式，在频率和群速度两方面，LE网格在描述Rossby波产生的误差均较Arakawa A E网格要小，同时也表明不论在可分辨还是不可分辨的情况下，采用高精度的四阶紧致差分格式，LE网格和Arakawa A_E网格在描述Rossby波时产生的频率误差和x、y方向群速度误差并非必然减少. 相似文献
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提出一种新的数值微分运算方法，即错格实数傅里叶变换微 分法. 该方法的运算速度 比错格复数傅里叶变换数值微分解法快0.33倍；因为该微分算法在整个微分运算过程中保留 了奈奎斯特分量，使得它比普通分格的实数傅里叶变换数值微分算法的精度高，稳定性好. 将该方法和Cagniard De Hoop解析法在求解半无限空间地震波动的问题中进行比较，结果 表明，新微分法的精度和解析方法的精度相同. 在非均匀介质中的地震波传播数值模拟的结 果表明，该方法是一种研究非均匀介质中地震波传播问题的有效的数值微分方法. 相似文献
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DEVELOPMENT OF EARTHQUAKE EMERGENCY DISASTER INFORMATION PRE-EVALUATION DATA BASED ON KM GRID 
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下载免费PDF全文 After an earthquake, earthquake emergency response and rescue is one of the effective ways to reduce casualties from the earthquake. Earthquake emergency disaster information is one of crucial factors to effectively guide the rescue work. However, there is a "black box effect" on the emergency disaster information acquisition after an earthquake, which means real-time earthquake disaster information is insufficient. Hazard estimates are usually used as a substitute for the real-time disaster information in the "black box" period. However, it is subject to the accuracy and speed of the estimation.
The development of the km grid technology provides good prospect to solve this problem. The paper suggests to develop earthquake disaster information pre-estimation data with the support of the km grid technology. The definition and source of the pre-estimation data are introduced and its possibility in improving the estimation speed and accuracy are analyzed theoretically.
Then, we elaborate the calculation model of the pre-estimation data. The framework of the model includes disaster-bearing body data, disaster-causing factors used in calculation and calculation formula. The disaster-bearing body data in km grid format are introduced, including population data in km grid format and building data in km grid format. Then the four elements of the earthquake(earthquake occurrence time, earthquake location, earthquake magnitude and focal depth)are selected as disaster-causing factors for calculation. Map algebra method is used to realize the calculation model in which calculation parameters are associated with base map in the km grid format. So the pre-estimation data are developed by python and ArcGIS, which includes building damage dataset(100 layers), death toll dataset(10 layers)and direct economic loss dataset(5 layers).
Finally, the pre-estimation data based method for earthquake emergency disaster information estimation is presented. With the support of this method, two real earthquake cases are used to validate the effect of the pre-estimation data. The validation results show the pre-estimation data can not only significantly improve the speed of the estimation but also greatly improve the accuracy of the estimation. Another good result is found in the validation process that with the support of the pre-estimation data, the estimated result can display the spatial distribution of the disaster information, which will effectively aid earthquake emergency response and rescues. 相似文献