Quick and easy analysis of unreplicated factorials
Technometrics
General atomic and molecular electronic structure system
Journal of Computational Chemistry
Latin supercube sampling for very high-dimensional simulations
ACM Transactions on Modeling and Computer Simulation (TOMACS) - Special issue on uniform random number generation
Modelling Photochemical Pollution using Parallel and Distributed Computing Platforms
PARLE '94 Proceedings of the 6th International PARLE Conference on Parallel Architectures and Languages Europe
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
Parameter scan of an effective group difference pseudopotential using grid computing
New Generation Computing - Grid systems for life sciences
Application of grid computing to parameter sweeps and optimizations in molecular modeling
Future Generation Computer Systems
Design and Modeling for Computer Experiments (Computer Science & Data Analysis)
Design and Modeling for Computer Experiments (Computer Science & Data Analysis)
Model optimization and parameter estimation with nimrod/o
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part I
Nimrod/K: towards massively parallel dynamic grid workflows
Proceedings of the 2008 ACM/IEEE conference on Supercomputing
Parameter Space Exploration Using Scientific Workflows
ICCS '09 Proceedings of the 9th International Conference on Computational Science: Part I
Robust workflows for science and engineering
Proceedings of the 2nd Workshop on Many-Task Computing on Grids and Supercomputers
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The techniques of formal experimental design and analysis are powerful tools for scientists and engineers. However, these techniques are currently underused for experiments conducted with computer models. This has motivated the incorporation of experimental design functionality into the Nimrod tool chain. Nimrod has been extensively used for exploration of the response of models to their input parameters; the addition of experimental design tools will combine the efficiency of carefully designed experiments with the power of distributed execution. This paper describes the incorporation of one type of design, the fractional factorial design, and associated analysis tools, into the Nimrod framework. The result provides a convenient environment that automates the design of an experiment, the execution of the jobs on a computational grid and the return of results, and which assists in the interpretation of those results. Several case studies are included which demonstrate various aspects of this approach.