NeuroManager: A workflow analysis based simulation management engine for computational neuroscience

Frontiers in Neuroinformatics

David Bruce Stockton¹  Fidel eSantamaria² 

[1] Department of Biomedical Engineering;Neurosciences Institute;University of Texas at San Antonio;

关键词: simulation;    Neuron;    big data;    Grid Computing;    High performance computing;    MCell;   

DOI  :  10.3389/fninf.2015.00024

来源: DOAJ

【 摘 要 】

We developed NeuroManager, an object-oriented simulation management software engine for computational neuroscience. NeuroManager automates the workflow of simulation job submissions when using heterogeneous computational resources, simulators, and simulation tasks. The object-oriented approach 1) provides flexibility to adapt to a variety of neuroscience simulators, 2) simplifies the use of heterogeneous computational resources, from desktops to super computer clusters, and 3) improves tracking of simulator/simulation evolution. We implemented NeuroManager in Matlab, a widely used engineering and scientific language, for its signal and image processing tools, prevalence in electrophysiology analysis, and increasing use in college Biology education. To design and develop NeuroManager we analyzed the workflow of simulation submission for a variety of simulators, operating systems, and computational resources, including the handling of input parameters, data, models, results, and analyses. This resulted in twenty-two stages of simulation submission workflow. The software incorporates progress notification, automatic organization, labeling, and time-stamping of data and results, and integrated access to Matlab's analysis and visualization tools. NeuroManager provides users with the tools to automate daily tasks, and assists principal investigators in tracking and recreating the evolution of research projects performed by multiple people. Overall, NeuroManager provides the infrastructure needed to improve workflow, manage multiple simultaneous simulations, and maintain provenance of the potentially large amounts of data produced during the course of a research project.

【 授权许可】

Unknown