Sea: A lightweight filesystem to process large neuroimaging data on HPC
ValHayot opened this issue · 1 comments
Project info
Title:
Project lead:
Valerie Hayot-Sasson @ValHayot
Mathieu Dugre @mathdugre
Timezone:
UTC-4
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
Project submission
Submission checklist
Once the issue is submitted, please check items in this list as you add under 'Additional project info'
Please include the following above (all required):
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- Flesh out at least 2 "good first issues": those are tasks that do not require any prior knowledge about your project, could be defined as issues in a GitHub repository, or in a shared document, cf here.
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You can also include information about (all optional):
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- Number of participants, cf. here
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- Set up a kanban board on your repository to better divide the work and keep track of things, cf here
- Project snippet for the OHBM Brainhack website, cf. here
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- Provide links to onboarding documents if you have some.
QMENTA has agreed to sponsor the event and provide computational resources through their platform.
- Get in touch with QMENTA through their Brain Innovation Hub Slack space, if you think your project would benefit from their support.
hi @ohbm/project-monitors: My project is ready!