Cornell Virtual Workshop
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Cornell Virtual Workshop is a comprehensive training resource for high performance computing topics. The Cornell University Center for Advanced Computing (CAC) is a leader in the development and deployment of Web-based training programs. Our Cornell Virtual Workshop learning platform is designed to enhance the computational science skills of researchers, accelerate the adoption of new and emerging technologies, and broaden the participation of underrepresented groups in science and engineering. Over 350,000 unique visitors have accessed Cornell Virtual Workshop training on programming languages, parallel computing, code improvement, and data analysis. The platform supports learning communities around the world, with code examples from national systems such as Frontera, Stampede2, and Jetstream2.
Intro to supercomputing workshop resources
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4/5/25 - 4/6/25
The Duke IEEE Student Chapter is working with ACCESS to host a workshop on a introduction to supercomputing.
All workshop resources are available on https://workshop.dukeieee.org/
Topics include:
Here's a summarized list of topics for the event:
Day 1: Saturday, April 5th
Opening Remarks & ACCESS Overview (Including how to request compute usage with Jetstream 2) Tutorial 1: Introduction to Supercomputing Architecture, Linux, and Job Scheduling (SLURM) Tutorial 2: Containerized Large Language Model Inference and Finetuning Tutorial 3: Portable Code - Local Containers to HPC Scale Tutorial 4: ACCESS Pegasus - Serverless Data Processing Workflow in Jupyter Notebooks Networking & Hors D'oeuvres
Day 2: Sunday, April 6th
Tutorial 2: Deep Dive in AI Agents - "Building Superintelligence in 90 Minutes" by Harry Fazzone Tutorial 3: DASK - Python-based Distributed Computing Framework for HPC Tutorial 4: Basic Parallelism & MPI by Rebecca Hartman-Baker, PhD (NERSC) Closing Talk: Capt. Grace Hopper on Future Possibilities: Data, Hardware, Software, and People (Part One, 1982)
ACES: Charliecloud Containers for Scientific Workflows (Tutorial)
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This tutorial introduces the use of Containers using the Charliecloud software suite. This tutorial will provide participants with background and hands-on experience to use basic Charliecloud containers for HPC applications. We discuss what containers are, why they matter for HPC, and how they work. We'll give an overview of Charliecloud, the unprivileged container solution from Los Alamos National Laboratory's HPC Division. Students will learn how to build toy containers and containerize real HPC applications, and then run them on a cluster. Exercises are demonstrated using the ACES cluster, a composable accelerator testbed at Texas A&M University. Students with an allocation on the ACES cluster can follow along with the ACES-specific exercises.
