Scalable Submesh Computing
可扩展的子网格计算
基本信息
- 批准号:0074278
- 负责人:
- 金额:$ 15.5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2000
- 资助国家:美国
- 起止时间:2000-08-15 至 2004-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
We will develop new algorithms, mathematical foundations, and a newprogramming methodology for the fast parallel solution of ellipticproblems with aspects that are crucial in practice but present seriousdifficulties to existing methods. We will investigate new robust iterativesubstructuring methods that perform well even in the presence of interfaceroughness on element scale. The performance of existing methodsdeteriorates in this case, but smooth decompositions are typically notavailable in practice. We also propose to investigate fast methods for thediscretization and iterative solution of high frequency wave propagationand scattering problems by representing the solution locally as acombination of waves on a coarse mesh and exploiting connections with thefast multipole method. Finally, we propose to develop new programmingapproaches and prototype tools for latency tolerant implementation onparallel machines, transforming a high level program with new directivesinto multiple independent tasks queued on processors.The project will advance the state of the art in modeling complicatedproblems in Mechanical Engineering with irregular geometries onhigh-performance computers with high accuracy and efficiency, improve thetechnology underlying radar, sonar, and ultrasound imaging, and create anew highly efficient methodology and prototype tools for High-PerformanceComputing. Potential applications include computational analysis andmodeling of automobiles and aircrafts and accurate high resolutionultrasound imaging. It is expected that the new methodology forHigh-Performance Computing will be important for futuristic technologies,where the speed of light is the limiting factor of communication betweenthe processors, as well as for more immediate distributed computing onnetworks of computers.
我们将为椭圆问题的快速并行求解开发新的算法、数学基础和新的编程方法,这些方面在实践中是关键的,但对现有方法构成严重困难。我们将研究新的稳健迭代子结构方法,即使在单元尺度上存在界面粗糙的情况下也能很好地执行。在这种情况下,现有方法的性能会恶化,但平滑分解在实践中通常是不可行的。我们还建议研究高频波传播和散射问题的离散和迭代解的快速方法,将解局部表示为粗网格上的波的组合,并利用快速多极子方法的联系。最后,我们提出了在并行机上实现延迟容忍的新的编程方法和原型工具,将具有新指令的高级程序转化为在处理器上排队的多个独立任务,该项目将在高性能计算机上高精度和高效率地推进复杂几何机械工程问题的建模,改进雷达、声纳和超声成像的底层技术,创建一种新的高效计算方法和原型工具。潜在的应用包括汽车和飞机的计算分析和建模,以及精确的高分辨率超声成像。预计高性能计算的新方法论将对未来技术以及计算机网络上更直接的分布式计算具有重要意义。在未来技术中,光速是处理器之间通信的限制因素。
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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Jan Mandel其他文献
Application of the parallel BDDC preconditioner to the Stokes flow
- DOI:
10.1016/j.compfluid.2011.01.002 - 发表时间:
2011-07-01 - 期刊:
- 影响因子:
- 作者:
Jakub Šístek;Bedřich Sousedík;Pavel Burda;Jan Mandel;Jaroslav Novotný - 通讯作者:
Jaroslav Novotný
Maximum Likelihood Estimation of Diagonal Covariance Matrix
对角协方差矩阵的最大似然估计
- DOI:
- 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
Marie Turčičová;Jan Mandel;K. Eben - 通讯作者:
K. Eben
Analysis of methods for assimilating fire perimeters into a coupled fire-atmosphere model
火灾-大气耦合模型中火灾周界同化方法分析
- DOI:
10.3389/ffgc.2023.1203578 - 发表时间:
2023 - 期刊:
- 影响因子:3.2
- 作者:
A. Kochanski;Kathleen Clough;A. Farguell;D. Mallia;Jan Mandel;Kyle Hilburn - 通讯作者:
Kyle Hilburn
Assimilation of fire perimeters and satellite detections by minimization of the residual in a fire spread model
通过最小化火蔓延模型中的残差来同化火周界和卫星检测
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
Angel Farguell Caus;James Haley;A. Kochanski;Ana Cort´es Fit´e;Jan Mandel - 通讯作者:
Jan Mandel
BDDC by a frontal solver and the stress computation in a hip joint replacement
- DOI:
10.1016/j.matcom.2009.01.002 - 发表时间:
2010-02-01 - 期刊:
- 影响因子:
- 作者:
Jakub Šístek;Jaroslav Novotný;Jan Mandel;Marta Čertíková;Pavel Burda - 通讯作者:
Pavel Burda
Jan Mandel的其他文献
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{{ truncateString('Jan Mandel', 18)}}的其他基金
CC* Compute: Accelerating Science and Education by Campus and Grid Computing
CC* 计算:通过校园和网格计算加速科学和教育
- 批准号:
2019089 - 财政年份:2020
- 资助金额:
$ 15.5万 - 项目类别:
Standard Grant
Data assimilation in scientific computing
科学计算中的数据同化
- 批准号:
1216481 - 财政年份:2012
- 资助金额:
$ 15.5万 - 项目类别:
Standard Grant
Collaborative Research: CDI-Type II--The Open Wildland Fire Modeling E-community: A Virtual Organization Accelerating Research, Education, and Fire Management Technology
合作研究:CDI-Type II——开放荒地火灾建模电子社区:一个加速研究、教育和火灾管理技术的虚拟组织
- 批准号:
0835579 - 财政年份:2008
- 资助金额:
$ 15.5万 - 项目类别:
Standard Grant
Adaptive Multilevel Iterative Substructuring Methods
自适应多级迭代子结构方法
- 批准号:
0713876 - 财政年份:2007
- 资助金额:
$ 15.5万 - 项目类别:
Standard Grant
CSR-CSI: Collaborative Research: Dynamic Sensor/Computation Network for Wildfire Management
CSR-CSI:协作研究:用于野火管理的动态传感器/计算网络
- 批准号:
0719641 - 财政年份:2007
- 资助金额:
$ 15.5万 - 项目类别:
Standard Grant
Data Assimilation in Atmospheric Sciences
大气科学中的数据同化
- 批准号:
0623983 - 财政年份:2007
- 资助金额:
$ 15.5万 - 项目类别:
Standard Grant
MRI: Collaborative Research: Acquisition of an IBM BlueGene/L Supercomputer
MRI:协作研究:购买 IBM BlueGene/L 超级计算机
- 批准号:
0420985 - 财政年份:2004
- 资助金额:
$ 15.5万 - 项目类别:
Standard Grant
ITR/NGS: Collaborative Research: DDDAS: Data Dynamic Simulation for Disaster Management
ITR/NGS:合作研究:DDDAS:灾害管理数据动态模拟
- 批准号:
0325314 - 财政年份:2003
- 资助金额:
$ 15.5万 - 项目类别:
Continuing Grant
Advanced Iterative Solvers for High Order Finite Elements
高阶有限元的高级迭代求解器
- 批准号:
9360015 - 财政年份:1994
- 资助金额:
$ 15.5万 - 项目类别:
Standard Grant
Parellel Methods for Large-Scale Computations
大规模计算的并行方法
- 批准号:
9121431 - 财政年份:1993
- 资助金额:
$ 15.5万 - 项目类别:
Continuing Grant