Getting Started with HPC at WashU (Session 4)
This 4-course seminar will provide participants with a foundation in using the RIS computing cluster. RIS is a computing platform run by WashU, which provides services for both data storage (allowing users to easily store and access terabytes of their own data) and high-performance computing (allowing users to run large-scale, computing intensive tasks requiring many CPU and GPU cores, and high amounts of RAM). The course will first guide participants in gaining access to RIS, setting up Docker, configuring the Python environment, and uploading data to RIS Storage. The training will then progress to cover the basics of running jobs on RIS while also highlighting strategies for maximizing GPU efficiency. This class is intended for graduate students, faculty, and staff from any field at WashU who currently write and run programs on their own computers but want to move their programs to WashU’s high-performance computing cluster at RIS. This session will focus primarily on running Python code on the RIS cluster, but much of the session will also be applicable to those using other programming languages such as R.
This class will be fully in-person, and participants will use their own laptops. Enrollment is limited to 20.
