We present a simple framework that allows a researcher to automate their computational simulations. In particular the framework facilitates assembling several long-running computations and producing various plots as a result of these computations. The framework makes it possible to reproduce every figure made for a publication with a single command. It also allows one to distribute the computations across a network of computers. The framework has been used to write a research paper in the area of numerical computing. This paper discusses the benefits of such a system both for the researcher and to the research area in general .
We present an easy-to-use, Python-based framework that allows a researcher to automate their computational simulations. In particular the framework facilitates assembling several long-running computations and producing various plots from the data produced by these computations. The framework makes it possible to reproduce every figure made for a publication with a single command. It also allows one to distribute the computations across a network of computers. The framework has been used to write research papers in numerical computing. This paper discusses the design of the framework, and the benefits of using it. The ideas presented are general and should help URLanize their computations for better reproducibility .
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benefits of such a system both for the researcher and to the research area in general
design of the framework, and the benefits of using it. The ideas presented are general and should help URLanize their computations for better reproducibility