Learn how to scale your research using the OSPool, a high throughput computing (HTC) resource for running large numbers of computational jobs. This training will introduce the fundamentals of HTC, guide you through getting started on the OSPool, and include a hands-on walkthrough where you'll submit and manage your own jobs. Ideal for researchers who want to scale their analyses efficiently and new/prospective OSPool users.
Training is online; zoom information will be sent the day of the training.
Are you new to the OSPool? This short workshop will help you get started on the OSPool through the Jupyter Hub interface. We’ll introduce and explore the interface, submit HTCondor jobs, and discuss workflows suitable for this resource. An OSPool account is not required for this training.
The training is online; Zoom information will be sent the day of the training.
Many programs used by researchers are written in Python. In this training, you'll learn how to set up and use Python in the OSPool. We'll start with how to deploy a consistent software environment, primarily through the use of containers. We'll also cover how to use Conda for managing and deploying Python environments. Then we'll cover how to set up your execution script for running Python jobs. Finally, we'll discuss the practical considerations for adapting your Python programs to a high throughput computing system.
Training is online; zoom information will be sent the day of the training.
