Computer as Thinker/Doer: Problem-Solving Environments for Computational Science
IEEE Computational Science & Engineering
SCIRun: a scientific programming environment for computational steering
Supercomputing '95 Proceedings of the 1995 ACM/IEEE conference on Supercomputing
From Scientific Software Libraries to Problem-Solving Environments
IEEE Computational Science & Engineering
SciNapse: A Problem-Solving Environment for Partial Differential Equations
IEEE Computational Science & Engineering
Scientific workflow management and the Kepler system: Research Articles
Concurrency and Computation: Practice & Experience - Workflow in Grid Systems
Programming scientific and distributed workflow with Triana services: Research Articles
Concurrency and Computation: Practice & Experience - Workflow in Grid Systems
Programming Erlang: Software for a Concurrent World
Programming Erlang: Software for a Concurrent World
Use of Parallel Simulated Annealing for Computational Modeling of Human Head Conductivity
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part I: ICCS 2007
Computational modeling of human head conductivity
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part I
Executing reconfigurations in hierarchical component architectures
Proceedings of the 16th International ACM Sigsoft symposium on Component-based software engineering
Proceedings of the 16th International ACM Sigsoft symposium on Component-based software engineering
Hi-index | 0.00 |
In scientific domains where discovery is driven by simulation modeling there are found common methodologies and procedures applied for scientific investigation. ODESSI (Open Domain-extensible Environment for Simulation-based Scientific Investigation) is an environment to facilitate the representation and automatic conduction of scientific studies by capturing common methods for experimentation, analysis, and evaluation used in simulation science. Specific methods ODESSI will support include parameter studies , optimization , uncertainty quantification , and sensitivity analysis . By making these methods accessible in a programmable framework, ODESSI can be used to capture and run domain-specific investigations. ODESSI is demonstrated for a problem in the neuroscience domain involving computational modeling of human head electromagnetics for conductivity analysis and source localization.