ACES: Python for High Performance Computing Workflows

Overview

Instructor(s): Richard Lawrence

Time: Tuesday, April 14, 2026 — 10:00AM-4:00PM CT (with a 1-hour lunch break)

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.

Remote Attendee Registration

Course Materials

ACES: Python for HPC and Advanced Topics (Fall 2025): PDF
Joblib_and_Dask Notebook: IPYNB
Environment_test Notebook: IPYNB
Checkpointing Notebook: IPYNB

ACES: Python for HPC and Advanced Topics (Spring 2025): PDF

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