Learning Objectives
- Implement provided simulation stubs (heat diffusion, traffic flow, or population models).
- Profile runtime and interpret performance dashboards.
- Reflect on trade-offs between accuracy, speed, and hardware constraints.
Simulation Studio
A one-week intensive where teams implement simplified physics or environmental models and compare CPU versus GPU performance.
Project Overview
Perfect for advanced programming electives or HPC clubs that want a sprint-style experience with hardware profiling.
1
Week (+ extension)
CUDA
or OpenACC
Sandbox
HPC Access
Lesson Snapshot
Standards Alignment
- NGSS HS-ETS1-4: Evaluate solutions using trade-off criteria.
- AP CS A + CSA-PL: Algorithm efficiency analysis.
- CTE Engineering Pathway: Systems modeling + reporting.
Suggested Timeline
Day 1
Kickoff + Baseline
Teams select a model, run baseline CPU code, and log assumptions.
- Mini-lesson on profiling + HPC basics
- Checkpoint: hypothesis about GPU gains
Day 2–3
Optimization Sprint
Students implement GPU or parallel extensions with mentor support.
- Workshop: memory + parallel patterns
- Checkpoint: profiling report draft
Day 4–5
Demo + Retro
Teams present results, compare benchmarks, and complete retrospectives.
- Deliverable: slide deck + repo pull request
- Reflection: ethical use of acceleration
Materials & Supports
Repo
Simulation Starter Code
CPU baseline, GPU scaffolding, and test datasets.
Python + C options
Guide
Profiling Workbook
Step-by-step log for capturing runtime, memory, and bottlenecks.
Printable + digital formats
Mentor
HPC Sandbox Access
Optional remote GPU environment with pre-configured logins.
Limited seats · request early
Assessment & Deliverables
Artifacts
- Annotated notebook or source file with documented optimizations.
- Profiling workbook summarizing CPU vs GPU metrics.
- Two-slide takeaway explaining impact + trade-offs.
Evaluation
- Rubric categories: technical accuracy, clarity, teamwork, reflection.
- Peer review prompts for code readability and testing.
- Mentor notes on professional practices.
Download Requests
Complete lab materials are available via GitHub + shared drive access.
Checklist
Access + Safety Guide
Sandbox onboarding steps, acceptable use policy, and troubleshooting tips.