Megan McCracken: Computational Research Facilitator at UWM
Megan McCracken, a PADI Dive Instructor, excels in facilitating computational research at UWM. Her best success story involves an ongoing project for data transfer and deployment of A100 GPU nodes. Despite critical challenges like varied research needs and space management issues, Megan overcomes them efficiently. Key issues to be aware of include managing diverse requests effectively. To thrive in her role, Megan utilizes tools of the trade like ZFS, Slurm scheduler, and GPU acceleration to support research groups effectively.
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Presentation Transcript
Megan McCracken Computational Research Facilitator - UWM Interesting Fact: PADI Dive Instructor
Best Success Story - Ongoing project for data transfer of multiple ~40 Tb packets - Installation and deployment of new A100 GPU nodes to aide - Seen acceleration in research due to responsiveness - Onboarded 3 new members and continue to grow this Data set
Critical Challenges - Every challenge is different - Multitude of research needs and none have the same solution - Constant need for different types of transfer and storage capabilities - Space management
Key Issues to be aware of - Each lab/group/individual requesting solutions based off of previous experiences - Your facilities may not be managed in the same way - Have the ability for explain what you can provide and what you can t in a clear effective manner - Be supportive and reach out to your network if you are unsure of the solution
Tools of the Trade - Understand and be able to manage your file storage system: ex. ZFS - Know your scheduler and how to use it: Slurm - Be familiar with the types of applications the groups you work with are likely to use: Matlab, ICC, GCC etc. - GPU acceleration
