Sea: A lightweight filesystem to process large neuroimaging data on HPC

Project info

Title:

Project lead: Valerie Hayot-Sasson @valhayot Mathieu Dugre @mathdugre

Description: Large file transfers to and from slow storage can impede the processing of neuroimaging workflows processing such data. Sea is a file system that aims to reduce the costs of such file transfers by leveraging compute-local storage whenever possible during pipeline execution to offset the overhead of reading and writing to local storage.

Link to project: https://github.com/big-data-lab-team/sea

Mattermost handle: @valeriehayot @mathdugre

Goals for the OHBM Brainhack

Evaluate the performance improvement brought by Sea on various neuroimaging workflows
Ensure compatibility of Sea with neuroimaging workflows

Good first issues:

Testing execution of neuroimaging pipelines with Sea running
Adding Github actions CI
Creating test cases for commonly used file interaction functions
Writing documentation for Sea

Skills:

Knowledge of neuroimaging workflows/how to execute them

Chat channel: hbmhack-sea

Image for the OHBM brainhack website sea logo

Project submission

Submission checklist

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ohbm / hackathon2021