Model optimization and parameter estimation with nimrod/o

Authors:
David Abramson;Tom Peachey;Andrew Lewis
Affiliations:
Caulfield School of Information Technology, Monash University, Melbourne, Australia;Caulfield School of Information Technology, Monash University, Melbourne, Australia;Division of Information Services, Griffith University, Brisbane, Australia
Venue:
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part I
Year:
2006

Citing 5
Cited 3

Parallel non-linear optimization: towards the design of a decision support system for air quality management

SC '97 Proceedings of the 1997 ACM/IEEE conference on Supercomputing
An automatic design optimization tool and its application to computational fluid dynamics

Proceedings of the 2001 ACM/IEEE conference on Supercomputing
A computational economy for grid computing and its implementation in the Nimrod-G resource broker

Future Generation Computer Systems - Grid computing: Towards a new computing infrastructure
High Performance Parametric Modeling with Nimrod/G: Killer Application for the Global Grid?

IPDPS '00 Proceedings of the 14th International Symposium on Parallel and Distributed Processing
RSCS: A Parallel Simplex Algorithm for the Nimrod/O Optimization Toolset

ISPDC '04 Proceedings of the Third International Symposium on Parallel and Distributed Computing/Third International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Networks

Fractional factorial design for parameter sweep experiments using Nimrod/E

Scientific Programming - Large-Scale Programming Tools and Environments
Robust workflows for science and engineering

Proceedings of the 2nd Workshop on Many-Task Computing on Grids and Supercomputers
The effects of heterogeneity on asynchronous panmictic genetic search

PPAM'07 Proceedings of the 7th international conference on Parallel processing and applied mathematics

Quantified Score

Hi-index	0.00

Visualization

Abstract

Optimization problems where the evaluation step is computationally intensive are becoming increasingly common in both engineering design and model parameter estimation. We describe a tool, Nimrod/O, that expedites the solution of such problems by performing evaluations concurrently, utilizing a range of platforms from workstations to widely distributed parallel machines. Nimrod/O offers a range of optimization algorithms adapted to take advantage of parallel batches of evaluations. We describe a selection of case studies where Nimrod/O has been successfully applied, showing the parallelism achieved by this approach.