ACES: Python for High Performance Computing Workflows
Overview
Instructor(s): Richard Lawrence
Time: April 2026
Location: Online using Zoom
Prerequisite(s): Active ACCESS ID, some Python or programming experience
This short course for experienced Python programmers will cover several topics relevant to Python workloads running on HPC systems, including environment setup, parallelism, and checkpointing.
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Course Materials
Participation
During the training, attendees are expected to log in to an HPRC cluster using their own computer and complete the instructor-led examples and exercises.
Learning Objectives and Agenda
In this course, participants will:
- Access the ACES cluster via the Open OnDemand portal
- Learn to handle Python environments and packages
- Learn tools to speed up and maintain high-performance Python code
