Batch computing enables you to execute concurrently or independently a large number of simulations, practically scaling up your ability to conduct research. Come and learn the basics of how to submit jobs, how to request resources and how to take advantage of very many CPU and GPU cores on the Hoffman2 Cluster.
Learn how to perform interactive computing on the Hoffman2 Cluster. From requesting the computational resources needed for your interactive session to loading and starting TUI and GUI applications.
Jupyter Notebook and JupyterLab are a powerful tool for interactive computing and for proof of concept implementations. Come and learn how to open jupyter sessions on your local browser while harnessing the computing power on the Hoffman2 Cluster. Work in a conda/python environment, in R, julia or many other programming languages.