The focus of this course is on Graham usage other than batch computing via the scheduler. Although the majority of production work on the Compute Canada clusters is executed as unsupervised compute jobs dispatched via the Slurm scheduler, large scale research projects involve several other computational tasks that precede and follow the batch production work. Some of these tasks involve file management, software development and prototyping, performance profiling, data sharing and visualization. This course demonstrates common ways for accessing the cluster with interactive capabilities for achieving the various pre- and post-production tasks associated with computationally demanding research projects.
- Teacher: James Desjardins
Access is restricted to Digital Research Alliance of Canada (formerly Compute Canada) authenticated users only: Non