How do you optimize performance for running multiple applications?
Optimizing performance when running multiple applications (or tasks) depends on the context: embedded systems, general-purpose computing, or real-time systems. Here’s a structured breakdown of general principles and techniques , applicable to systems ranging from microcontrollers to multi-core CPUs: 🔧 1. Use Efficient Task Scheduling RTOS (Real-Time Operating System) : Use an RTOS (e.g., FreeRTOS, Zephyr) for deterministic task switching and priority-based scheduling. Priority Management : Assign appropriate priorities based on task urgency and frequency. Avoid Priority Inversion : Use mechanisms like priority inheritance to prevent lower-priority tasks from blocking high-priority ones. 🚦 2. Minimize Context Switching Keep tasks short and responsive. Use event-driven or interrupt-driven models instead of polling. Avoid excessive use of delays or blocking calls in tasks. 💡 3. Optimize Resource Utilization CPU : Use lightweight processing; off...