Research software is often complex and difficult to manage, particularly on shared high-performance computing systems like the Alpine cluster housed at CU Boulder. Conda is an open-source software and environment management system that makes it easy to install complex software packages and their dependencies. Conda supports multiple languages and is particularly well-suited for managing python and R software environments. In this RC Primer* we will cover using Conda, and its newer, faster relative, Mamba, to create python and R environments on the Alpine cluster.
In order to follow along with the hands-on component of this workshop, you’ll want to have a research computing account. If you need assistance with creating an account, see the RC Quick Byte - Getting a Research Computing Account.
The ability to navigate a Linux environment is useful, but not required for this training. If you would like to develop your understanding of Linux, see the RC Short Course - Supercomputing Spinup 1: Working with Linux.
- What is an RC Primer?: An RC Primer is a session that provide an introduction to concepts, systems, and tools. You can expect to leave "Primers" with an introductory-level understanding of the topic.