Summary

Lance Harvie's 2024 blog examines practical techniques to optimize real-time operating systems for resource-constrained edge devices. Readers will learn how to tune schedulers, reduce interrupt latency, shrink memory footprints, and apply power-aware strategies to improve latency, determinism, and battery life on ARM Cortex-M and similar MCUs.

Key Takeaways

• Tune the RTOS scheduler to balance latency and throughput using priority adjustments, preemption, and CPU affinity.
• Reduce interrupt latency by restructuring ISRs, using deferred work, and minimizing critical sections.
• Minimize memory footprint through kernel feature selection, static allocation, and stack-size optimization.
• Lower power consumption with tickless idle, power-aware scheduling, and peripheral gating.
• Measure and validate improvements with latency/jitter tests, tracing, and profiling on target hardware.

Who Should Read This

Embedded firmware engineers and system architects with a few years of experience building low-power, latency-sensitive IoT/edge devices who want practical RTOS optimization techniques.

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