Join us in this hands-on training session: Introduction to Parallel Computing using C and OpenMP. This workshop is designed to take you from serial programming to writing efficient, multi-threaded applications. 💡 What you’ll learn: ❓ Why attend As datasets grow, serial computing is no longer enough. Mastering OpenMP allows you to scale your research and make […]
This four-session course will introduce participants to the primary packages and methods for data visualization in Python. You will learn how to produce customized static and interactive visualizations of your data using the Matplotlib, Seaborn, Plotly and Bokeh libraries. This class is intended for graduate students, faculty and staff at Wash U who have basic […]
Join us for a specialized technical workshop: AI Environments: PyTorch and Container Technologies. We will bridge the gap between “it works on my laptop” and “it scales on the cluster.” 💡 What you’ll learn: ❓Why attend: By learning Apptainer and PyTorch, you can package your entire software stack into a single file. Bring your existing […]
Join us in an advanced workshop: Scalable Deep Learning on RIS Compute2. This session is designed for users ready to move beyond single-GPU constraints and master the art of distributed high-performance AI. 💡 What you’ll learn: ❓ Why attend: Don’t just run your code, optimize it. Learn how to use professional-grade profiling tools to ensure […]
This four-session course will provide participants with an introduction to the quantitative analysis of textual data using Python. The course will cover the basics of representing text as numeric data (including text preprocessing, cleaning, stemming, and tokenizing). We will then work through some of the more popular methods for text analysis, including topic modeling, word […]