Closed DaniJonesOcean closed 3 months ago
We have both been added to the relevant Mcommunity group. We should have access to the coderspace Slack in the next 24 hours.
Following the Slack access instructions here should be the next step: https://its.umich.edu/communication/collaboration/slack
@DaniJonesOcean I attended the Introduction to Research Computing on the Great Lakes Cluster workshop. I learned how the cluster is a shared computing resource, where individuals request a certain amount of time and storage("cores" and GB). I access the cluster Linux cheatsheet. Only after the workshop was I able to actually connect to the cluster via terminal. Dani Jones was able to show me OnDemand and how to use jupyter notebooks with the cluster. Additionally I was able to join the coderspace slack, which is active and has many repliers to help requests.
This HPC resource will be extremely important when we get to training our model, the amount of data we expect to use will surpass the power of my personal laptop or google colab. Something that I will have to learn as that step becomes closer is quantifying how many cores, hours, and GB to request for such a project.
Issue Description:
We encourage you to take advantage of the broader HPC and coding support networks available at U-M. There are upcoming workshops and ongoing events through Coderspaces that could potentially enhance your research computing skills and network within the U-M data science community.
Workshops to Consider:
U-M HPC Workshops:
These workshops are opportunities to familiarize yourself further with the Great Lakes cluster. If you find the content might be too basic, feel free to skip and instead focus on areas that will most benefit your role in our project.
U-M Coderspaces:
Task:
Deliverable:
Resources:
Note: Please prioritize the activities according to the project timeline and your workload. Our goal is to support your development as well as our project's success.