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.
OpenHPC: Beyond the Install Guide
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Materials for the "OpenHPC: Beyond the Install Guide" half-day tutorial, first offered at PEARC24. The goal of this repository is to let instructors or self-learners to construct one or more OpenHPC 3.x virtual environments, for those environments to be as close as possible to the defaults from the OpenHPC installation guide, and to then use those environments to demonstrate several topics beyond the basic installation guide.
Topics include:
1. Building a login node that's practically identical to a compute node (except for where it needs to be different)
2. Adding more security to the SMS and login node
3. Using node-local storage for the OS and/or scratch
4. De-coupling the SMS and the compute nodes (e.g., independent kernel versions)
5. GPU driver installation (simulated/recorded, not live)
6. Easier management of node differences (GPU or not, diskless/single-disk/multi-disk, Infiniband or not, etc.)
7. Slurm configuration to match some common policy goals (fair share, resource limits, etc.)
