Presentation
An Interactive Agentic HPC Tutor for Lesson Planning, Teaching, and Assessment
DescriptionHigh-performance computing (HPC) education is at an inflection point, driven by agentic systems and “prompt-engineering” as a form of programming. We describe an interactive tutor built from autonomous LLM-based agents, each with a narrow role: planning lessons, explaining concepts, scaffolding code, and executing runs. Using open-source toolkits and locally hosted models on leadership-class supercomputers, the tutor lets educators generate and refine parallel-programming examples in real time without external APIs or subscription fees. Complex workflows are composed through structured prompts rather than traditional source code, while per-agent history summarization prevents context-window overflow and enables self-correcting code generation. Requiring no proprietary services, the platform is immediately deployable in institutional HPC environments and scales from single-user sessions to classroom labs. Beyond a teaching aid, it illustrates how prompt-driven, multi-agent software can deliver dynamic, personalized, and extensible learning experiences across technical domains.
Author/Presenters
Event Type
Workshop
TimeSunday, 16 November 20259:20am - 9:35am CST
Location261
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