Skip to content
Snippets Groups Projects
Commit 610fa581 authored by Natasha Pavlovikj's avatar Natasha Pavlovikj
Browse files

Edit class_account_setup_information.md

parent f2b008b7
No related branches found
No related tags found
1 merge request!444Added the file
This guide provides a list of useful links for Classes utilizing HCC resources
## Useful Links for Students
### Account Creation
- New user account [Form](https://hcc.unl.edu/new-user-request/- [https://hcc.unl.edu/new-user-request/](https://hcc.unl.edu/new-user-request/)
- Already have a HCC account. Link to Supplementary Group request [Form](https://hcc.unl.edu/group-addchange-request)- [https://hcc.unl.edu/group-addchange-request](https://hcc.unl.edu/group-addchange-request)
- How to activate [Duo](https://hcc.unl.edu/docs/accounts/setting_up_and_using_duo/)-[https://hcc.unl.edu/docs/accounts/setting_up_and_using_duo/](https://hcc.unl.edu/docs/accounts/setting_up_and_using_duo/)
- Forgot Password? Link to [password reset](https://hcc.unl.edu/docs/accounts/how_to_change_your_password/)-[https://hcc.unl.edu/docs/accounts/how_to_change_your_password/](https://hcc.unl.edu/docs/accounts/how_to_change_your_password/)
### Software links
- Open on Demand [(OOD)](https://hcc.unl.edu/docs/open_ondemand/connecting_to_hcc_ondemand/)-[https://hcc.unl.edu/docs/open_ondemand/connecting_to_hcc_ondemand/](https://hcc.unl.edu/docs/open_ondemand/connecting_to_hcc_ondemand/)
- Create custom CPU/GPU conda [envs] (https://hcc.unl.edu/docs/applications/user_software/using_anaconda_package_manager/#creating-custom-anaconda-environments)- [https://hcc.unl.edu/docs/applications/user_software/using_anaconda_package_manager/#creating-custom-anaconda-environments](https://hcc.unl.edu/docs/applications/user_software/using_anaconda_package_manager/#creating-custom-anaconda-environments)
- Run JupyterLab [Notebooks](https://hcc.unl.edu/docs/applications/submitting_jupyter_code/running_jupyter_lab_code/) on HCC- [https://hcc.unl.edu/docs/applications/submitting_jupyter_code/running_jupyter_lab_code/](https://hcc.unl.edu/docs/applications/submitting_jupyter_code/running_jupyter_lab_code/)
## Useful Links for Faculties
### Class Account
- Class account creation [form](https://hcc.unl.edu/new-group-request)- [https://hcc.unl.edu/new-group-request](https://hcc.unl.edu/new-group-request)
- link to HCC class [policy page](https://hcc.unl.edu/hcc-policies#class-groups)- [https://hcc.unl.edu/hcc-policies#class-groups](https://hcc.unl.edu/hcc-policies#class-groups)
### Training
- Thraining [support](https://hcc.unl.edu/docs/faq/#can-hcc-provide-training-for-my-group) by HCC- [https://hcc.unl.edu/docs/faq/#can-hcc-provide-training-for-my-group]([https://hcc.unl.edu/docs/faq/#can-hcc-provide-training-for-my-group])
The Holland Computing Center (HCC) provides high-performance computing resources for Universities and Colleges in the state of Nebraska. HCC supports both research and creative, and class activity.
This guide provides a list of useful links for classes utilizing HCC resources.
## Useful Links for Instructors
- Class group creation [form](https://hcc.unl.edu/new-group-request).
- Class group renewal [form](https://hcc.unl.edu/class-renewal-request).
- Link to HCC class [policy page](https://hcc.unl.edu/hcc-policies#class-groups)
- Some class may utilize custom conda environments. Some conda environments, especially the GPU-based ones, can be very large and can easily exceed the available $HOME quotas of 20GBs. To avoid this, we recommend creating group-level custom conda environment. If you are interested in this, please email hcc-support@unl.edu for further information.
- If data needs to be shared among all group members, please see https://hcc.unl.edu/docs/handling_data/swan_data_sharing/#using-group-level-shared-directory for best practices.
- You can request HCC training/presentation [in-class](https://hcc.unl.edu/docs/faq/#can-hcc-provide-training-for-my-group).
### Tips
- Add some assignment at the beginning of the class so students can create class accounts and setup Duo before the beginning of the class
## Share Data
- How to share [data](https://hcc.unl.edu/docs/handling_data/swan_data_sharing/) across lab members-[https://hcc.unl.edu/docs/handling_data/swan_data_sharing/](https://hcc.unl.edu/docs/handling_data/swan_data_sharing/)
## Support
- When to email HCC and when to email the class TA
- For issues related to classwork or assignment please contact your TA. For issues with HCC resources (e.g., unavailable resources, sudden errors and job failures), contact [HCC support](mailto:hcc-support@unl.edu.)
\ No newline at end of file
- Creating and setting HCC accounts takes some time. To motivate students to create HCC accounts before the training/assignments are due, some professors make this process a graded assignment.
## Useful links for students
### Account creation and setup
- New user account [form](https://hcc.unl.edu/new-user-request/).
- If you already have existing HCC account, use the Supplementary Group request [form](https://hcc.unl.edu/group-addchange-request) instead.
- How to activate HCC [Duo](https://hcc.unl.edu/docs/accounts/setting_up_and_using_duo/).
- How to reset your HCC [password](https://hcc.unl.edu/docs/accounts/how_to_change_your_password/).
- What are HCC [good practices](https://hcc.unl.edu/docs/good_hcc_practices/)?
### Application links
- HCC Open OnDemand (OOD) [web access to Swan](https://swan-ood.unl.edu/).
- Detailed HCC Open OnDemand [guide](https://hcc.unl.edu/docs/open_ondemand/).
- If the OOD resources are not enough, you can run JupyterLab Notebooks within [SLURM job](https://hcc.unl.edu/docs/applications/submitting_jupyter_code/running_jupyter_lab_code).
- Creating custom CPU/GPU conda [envs] (https://hcc.unl.edu/docs/applications/user_software/using_anaconda_package_manager/#creating-custom-anaconda-environments).
- Custom conda environments are created in $HOME by default. You can change the location of the [conda environment](https://hcc.unl.edu/docs/applications/user_software/using_anaconda_package_manager/#using-common-for-environments/).
- Custom conda environments can easily fill the 20GBs quota on $HOME. To clean space, you can [remove unused Anaconda packages and caches](https://hcc.unl.edu/docs/applications/user_software/using_anaconda_package_manager/#remove-unused-anaconda-packages-and-caches).
- For various SLURM examples of applications that run on Swan, please this [this repo](https://github.com/unlhcc/job-examples/).
- How to share [data](https://hcc.unl.edu/docs/handling_data/swan_data_sharing/) across group members.
### Training
- [HCC Info Sheet](https://go.unl.edu/hcc_info_sheet)
- [HCC SLURM Scheduler Cheat Sheet](https://go.unl.edu/hcc_slurm_cheatsheet)
- Conda user [cheat sheet](https://hcc.unl.edu/docs/attachments/11635089.pdf).
- YouTube videos of previous HCC [training events](https://www.youtube.com/@hollandcomputingcenter8962).
### Support
- When to email HCC and when to email the class TA?
- For issues related to classwork or assignment please contact your TA.
- For issues with HCC resources (e.g., unavailable resources, sudden errors and job failures), contact [HCC support](mailto:hcc-support@unl.edu.).
\ No newline at end of file
0% Loading or .
You are about to add 0 people to the discussion. Proceed with caution.
Please register or to comment