Full course coming soon

Performance Tuning and Constraint Engineering for Hardware Systems

7 chapters · 31 lessons

1. 1. The Performance Tuning Feedback Loop

   4 lessons

   Understand the core methodology for safe, measurable hardware optimization through controlled experiments and telemetry.

2. 2. Reading and Interpreting Hardware Telemetry

   4 lessons

   Learn to collect, parse, and act on real-time signals from GPUs, CPUs, and system monitors.

3. 3. Constraint Knobs: Frequency, Voltage, Power, and Thermal Limits

   5 lessons

   Explore the interdependent parameters that govern hardware behavior and how to adjust them safely.

4. 4. Designing Safe Performance Experiments

   5 lessons

   Build experiment protocols that minimize risk, isolate variables, and produce actionable data.

5. 5. Undervolting and Efficiency Optimization

   4 lessons

   Achieve better performance per watt by reducing voltage and heat without sacrificing stability.

6. 6. Validation Workflows for Hardware Procurement and Deployment

   4 lessons

   Apply performance tuning discipline to hardware selection, vendor claims, and production rollout.

7. 7. Applying Constraint Thinking Beyond GPUs

   5 lessons

   Transfer performance tuning principles to CPUs, edge devices, mobile SoCs, and data center infrastructure.