Design Optimization
This module addresses the critical process of design optimization in embedded systems, emphasizing performance, energy efficiency, cost management, and reliability. It explores advanced techniques across various levels, including hardware-level enhancements like pipelining and software optimizations such as algorithm selection. Key topics include understanding trade-offs between conflicting objectives and utilizing sophisticated tools for profiling and verification to ensure optimal system functionality.
Sections
Navigate through the learning materials and practice exercises.
What we have learnt
- Design optimization is essential for improving embedded systems' performance, efficiency, and reliability.
- Multiple conflicting optimization goals (performance, power, area, cost, reliability) necessitate careful trade-offs throughout the design process.
- Utilizing advanced tools and techniques is crucial for accurately profiling, optimizing, and verifying embedded system designs.
Key Concepts
- -- Tradeoffs
- Compromises that must be made when optimizing conflicting objectives such as performance versus power consumption.
- -- Dynamic Voltage and Frequency Scaling (DVFS)
- A technique to dynamically adjust voltage and frequency levels of a processor to save power while maintaining performance.
- -- Error Detection and Correction (EDAC)
- Mechanisms implemented in hardware or software to identify and correct errors in data storage and transmission.
- -- Pipelining
- A technique in processor design where multiple instruction phases are overlapped to improve throughput.
- -- Pareto Front
- A set of optimal solutions in multi-objective optimization where improving one objective would worsen another.
Additional Learning Materials
Supplementary resources to enhance your learning experience.