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GPU Workload Profiling & Optimization
Full-stack profiling and optimization of GPU workloads — my final-year project, turning measurements into concrete speedups.
Final-Year Project · 2026–2027
- systems
- performance
Problem
GPU workloads are easy to run and hard to make fast — occupancy, memory bandwidth, and kernel latency all pull against each other, and intuition is a poor guide. This final-year project profiles GPU workloads end to end and lets the measurements, not guesswork, drive each optimization. It’s the centerpiece of my systems work, and this page grows into a full case study as results land.
Results — before / after
| Metric | Before | After |
|---|---|---|
| Kernel latency (p99) | — | — |
| Memory throughput | — | — |
| SM occupancy | — | — |