Scientific Experiment Exploration framework
SciExp² (aka SciExp square or simply SciExp2) stands for Scientific Experiment Exploration, which contains a comprehensive framework for easing the workflow of creating, executing and evaluating experiments.
The driving idea behind SciExp² is the need for quick and effortless design-space exploration. It is divided into the following main pieces:
- Launchgen: Aids in the process of defining experiments as a permutation of different parameters in the design space, creating the necessary files to run them (configuration files, scripts, etc.).
- Launcher: Takes the result of launchgen and integrates with some well-known execution systems (e.g., simple shell scripts or gridengine) to execute and keep track of the experiments (e.g., re-run failed experiments, or run those whose files have been updated). In addition, experiments can be operated through filters that know about the parameters used during experiment generation.
- Data: Aids in the process of collecting and analyzing the results of the experiments. Results are collected into arrays whose dimensions can be annotated by the user (e.g., to identify experiment parameters). It also provides functions to automatically extract experiment results into annotated arrays (implemented as numpy arrays with dimension metadata extensions).
The framework is available in the form of Python modules which can be easily integrated into your own applications or used as a scripting environment.
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