squall | HTC computing resources for fMRI analysis

squall is a Python library. squall has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However squall build file is not available. You can download it from GitHub.

In response to the aforementioned obstacles, we have designed an application, Squall, to facilitate the use of distributed computing resources for fMRI analysis. The system consists of a ‘front-end’ web application to gather user input, ‘back-end’ web server to automate the process of deploying workflows, and a database to organize and facilitate examination of the results returned by completed analyses. As a whole, Squall alleviates the previously mentioned bottlenecks by providing a means to manage more scalable workflows on distributed computing resources. The web application consists of a number of forms used to collect the information needed to run computation on HTCondor execute nodes such as URLs to code and data, executables, and system requirements (memory, disk, space, ect.). Additionally, the application collects metadata used to organize the results returned by these computations. Squall uses this information to generate a file structures consisting of DAGs, Submit Files, Wrapper Scripts, and Pre/Post Scripts that are used to deploy Parameter Sweeps using HTCondor. The results from completed Parameter Sweeps are returned to the web application for organization and storage. These results (and the meta-data associated with them) are collected in MongoDB (a document based database) where they are easily accesible to the user for exploration, analysis, and visualization via any number of extensions.