Workshop: EduHPC-25: Workshop on Education for High Performance Computing
Authors: Kazuichi Oe (National Institute of Informatics); Tomoya Saito (Yamaguchi University); Tomoya Tanjo (National Institute of Informatics); Jun Nishii, Koichi Okada, Keigo Yabuki, Takahiro Tamesue, and Yue Wang (Yamaguchi University); and Atsuko Takefusa (National Institute of Informatics)
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.
Back to EduHPC-25: Workshop on Education for High Performance Computing Archive Listing Back to Full Workshop Archive Listing