Toward Practical HPC Education with MCJ-CloudHub
Saved in:
| Title: | Toward Practical HPC Education with MCJ-CloudHub |
|---|---|
| Authors: | Kazuichi Oe, Tomoya Saito, Tomoya Tanjo, Jun Nishii, Koichi Okada, Keigo Yabuki, Takahiro Tamesue, You Wang, Atsuko Takefusa |
| Publication Year: | 2025 |
| Subject Terms: | Other information and computing sciences not elsewhere classified, Jupyter Notebook environment, Jupyter Notebook python script, HPC applications |
| Description: | In higher education, there is a growing need for reproducible exercise environments that facilitate teaching of HPC and data science. While JupyterHub can provide students with a consistent environment, challenges remain in operating multiple exercises simultaneously and in building and maintaining the JupyterHub system itself. To address these issues, we have developed MCJ-CloudHub, which is designed to support the concurrent operation of multiple exercises through integration with Moodle and JupyterHub and to enable exercises that use GPU computing. Using Virtual Cloud Provider (VCP) technology, MCJ-CloudHub can be deployed flexibly across both on-premises and cloud environments. |
| Document Type: | conference object |
| Language: | unknown |
| DOI: | 10.6084/m9.figshare.30142132.v1 |
| Availability: | https://doi.org/10.6084/m9.figshare.30142132.v1 https://figshare.com/articles/conference_contribution/Toward_Practical_HPC_Education_with_MCJ-CloudHub/30142132 |
| Rights: | CC BY 4.0 |
| Accession Number: | edsbas.5B12E2BF |
| Database: | BASE |
Nájsť tento článok vo Web of Science | Abstract: | In higher education, there is a growing need for reproducible exercise environments that facilitate teaching of HPC and data science. While JupyterHub can provide students with a consistent environment, challenges remain in operating multiple exercises simultaneously and in building and maintaining the JupyterHub system itself. To address these issues, we have developed MCJ-CloudHub, which is designed to support the concurrent operation of multiple exercises through integration with Moodle and JupyterHub and to enable exercises that use GPU computing. Using Virtual Cloud Provider (VCP) technology, MCJ-CloudHub can be deployed flexibly across both on-premises and cloud environments. |
|---|---|
| DOI: | 10.6084/m9.figshare.30142132.v1 |