The CUIT Research Services HPC Training Series is designed to onboard researchers to shared high-performance computing (HPC) resources at Columbia. Led by HPC engineers, these hands-on sessions will introduce participants to Columbia’s shared on-prem HPC clusters (Insomnia and Ginsburg) and will provide foundational skills for effectively leveraging these resources. Whether you're new to HPC or looking to refine your expertise, this series will guide you through essential tools and workflows for running computational research efficiently.
You can take one or all of the courses, depending on your needs.
Intro to Python for HPC
In this workshop, we'll introduce Python, a versatile and easy-to-learn programming language widely used in various fields, including High Performance Computing (HPC). We'll explore why Python is a popular choice due to its simplicity, readability, and extensive library support. In the context of HPC, Python is used for data analysis, automation, and scientific computing. We'll also cover some key Python modules used in HPC, such as NumPy, which help optimize performance and scale computations efficiently across clusters.
Register for the rest of the HPC Training Series:
- October 23 from 2-3:30pm EDT: Intro to Linux: https://events.columbia.edu/go/intro_linux_2025
- October 30 from 2-3:30pm EDT: Intro to Bash Shell Scripting: https://events.columbia.edu/go/intro_scripting_2025
- November 6 from 2-3:30pm EDT: Intro to Python for HPC: https://events.columbia.edu/go/intro_pythonhpc_2025
- November 13 from 2-3:30pm EDT: Intro to HPC: https://events.columbia.edu/go/intro_hpc_2025
Don't forget to sign up for CUIT's Research Computing Training Listserv, rc-training, to be emailed about future training sessions.
