Interactive data visualization using focusing and linking
VIS '91 Proceedings of the 2nd conference on Visualization '91
Data farming coevolutionary dynamics in RePast
WSC '04 Proceedings of the 36th conference on Winter simulation
Work smarter, not harder: guidelines for designing simulation experiments
WSC '05 Proceedings of the 37th conference on Winter simulation
Data farming: discovering surprise
WSC '05 Proceedings of the 37th conference on Winter simulation
Simulation environment to assess technology insertion impact and optimized manning
WSC '05 Proceedings of the 37th conference on Winter simulation
Using agent models and data farming to explore network centric operations
WSC '05 Proceedings of the 37th conference on Winter simulation
Work smarter, not harder: guidelines for designing simulation experiments
Proceedings of the 38th conference on Winter simulation
Work smarter, not harder: guidelines for designing simulation experiments
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Modeling and simulation in the analysis of a joint test and evaluation methodology
SpringSim '07 Proceedings of the 2007 spring simulation multiconference - Volume 3
Better than a petaflop: the power of efficient experimental design
Proceedings of the 40th Conference on Winter Simulation
Data farming around the world overview
Proceedings of the 40th Conference on Winter Simulation
Data farming in Singapore: a brief history
Proceedings of the 40th Conference on Winter Simulation
Automated red teaming: an objective-based data farming approach for red teaming
Proceedings of the 40th Conference on Winter Simulation
Simulation analysis on destabilization of complex adaptive organizations
CISDA'09 Proceedings of the Second IEEE international conference on Computational intelligence for security and defense applications
Better than a petaflop: the power of efficient experimental design
Winter Simulation Conference
Proceedings of the Winter Simulation Conference
Better than a petaflop: the power of efficient experimental design
Proceedings of the Winter Simulation Conference
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The development of models and analysis of modeling results usually requires that models be run many times. Very few modelers are satisfied with the computing resources available to do sensitivity studies, validation and verification, measurement of effectiveness analysis, and related necessary activities. Fortunately, high performance computing, in the form of distributed computing capabilities and commodity node systems, is becoming more pervasive and cost effective. In this paper the authors describe the concept and methods of Data Farming, the study and development of methods, interfaces, and tools that make high performance computing readily available to modelers and allows analysts to explore the vast amount of data that results from exercising models.