LASSO: A grid-enabled simulation optimization framework

被引：0
|
作者：
Tryby, M [1 ]
Mirghani, B [1 ]
Ranjithan, R [1 ]
Mahithakumar, K [1 ]
Baessler, D [1 ]
Karonis, N [1 ]
机构：
[1] N Carolina State Univ, Dept Civil Engn, Raleigh, NC 27695 USA
来源：
2005 6TH INTERNATIONAL WORKSHOP ON GRID COMPUTING (GRID) | 2005年
关键词：
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper, we report our experiences developing a grid-enabled framework for solving environmental inverse problems. The solution approach taken here couples environmental simulation models with global search methods and requires the readily available computational resources of the grid for computational tractability. We present a set of results for a ground water release history reconstruction problem, and report significant performance improvements observed for a deployment of the application on the TeraGrid.
引用
收藏
页码：333 / 336
页数：4
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