Containers and Reproducible Science
Prepare Linux environments, migrate software to HPC, build and run Singularity containers, and organize research code for reproducible execution.
Learning Paths
Start with a sequence, not a search box.
Start with a curated learning path to build your skills in High Performance Computing (HPC). These paths arrange HPC trainings into a clear first journey. They are proposed guidance, not a completed curriculum.
Choose a goal
Available learning paths
Each path organizes existing public materials into a practical progression.
Getting Started with Expanse
Learn how to access Expanse, schedule work, use interactive environments, and take the next step toward accelerated computing.
GPU Programming and Portability
Move from parallel computing fundamentals to GPU programming on Expanse, portable SYCL applications, and CPU/GPU performance measurement.
HPC Performance Optimization
Understand scaling, improve code efficiency, accelerate Python workloads, and use profiling and tracing to find the next bottleneck.
New to HPC
Build a practical foundation before moving into parallel tools or system-specific workflows.
Research Data Workflows
Choose appropriate HPC storage, move data efficiently, apply FAIR sharing practices, and connect data handling to reproducible research software.
Slurm and Batch Workflows
Build command-line confidence, understand scheduling, submit batch jobs, and automate high-throughput workloads with Slurm.