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Mobile System Design for Graphics and AI Workloads

7 chapters · 32 lessons

1. 1. Mobile System Architecture and Resource Constraints

   4 lessons

   Understand how CPU, GPU, and neural accelerators share memory, power, and thermal budgets in mobile systems on chip.

2. 2. GPU Rendering Pipeline Fundamentals

   5 lessons

   Learn how mobile GPUs execute parallel graphics workloads and coordinate with CPU scheduling.

3. 3. Workload Placement and Specialization Strategies

   5 lessons

   Decide which processing unit should handle each task based on efficiency, latency, and power characteristics.

4. 4. Power and Thermal Management for Sustained Performance

   4 lessons

   Implement strategies to maintain performance without battery drain or thermal throttling.

5. 5. Neural Rendering and Hybrid Graphics Techniques

   5 lessons

   Apply AI-assisted rendering methods to reduce computational cost while maintaining visual quality.

6. 6. Real-Time Applications: Games, Camera, and AR

   4 lessons

   Design graphics and AI pipelines for latency-sensitive mobile experiences.

7. 7. Performance Optimization and Production Debugging

   5 lessons

   Profile, diagnose, and resolve performance bottlenecks in production mobile applications.