Title :
LASSO: a grid-enabled simulation optimization framework
Author :
Tryby, Michael ; Mirghani, Baha ; Ranjithan, Ranji ; Mahithakumar, Kumar ; Baessler, Derek ; Karonis, Nicholas
Author_Institution :
Dept. of Civil Eng., North Carolina State Univ., Raleigh, NC, USA
Abstract :
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.
Keywords :
application program interfaces; environmental science computing; grid computing; groundwater; inverse problems; message passing; LASSO; TeraGrid; computational tractability; environmental inverse problems; global search methods; grid-enabled simulation optimization; ground water release history reconstruction problem; Computational modeling; Computer architecture; Computer networks; Design engineering; Design optimization; Distributed computing; Grid computing; Inverse problems; Large-scale systems; Mathematical model;
Conference_Titel :
Grid Computing, 2005. The 6th IEEE/ACM International Workshop on
Print_ISBN :
0-7803-9492-5
DOI :
10.1109/GRID.2005.1542766
