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Challenges of Using Artificial Intelligence in Safety-Critical Systems

Artificial Intelligence (AI) has transformed the world of technology, enabling systems to learn, adapt, and make decisions without explicit programming. From autonomous vehicles to medical diagnostics and flight control systems, AI promises unprecedented efficiency and capability. However, when it comes to safety-critical systems—where failure could result in injury, loss of life, or significant damage—the use of AI introduces profound challenges that go far beyond traditional software engineering. Unlike conventional software, which behaves predictably according to its programmed logic, AI is built on learning and training. Its decisions and outputs depend heavily on the data it has been trained on and the patterns it recognizes during runtime. This adaptive, data-driven behavior means that an AI system’s responses may vary with changing inputs or environments, often in ways that are not explicitly defined or foreseen by developers. While this flexibility is a strength in many applica...

Best CPU Utilization Profiling and Measurement Tools for Safety-Critical Systems

Best CPU Utilization Profiling and Measurement Tools for Safety-Critical Systems

In the design and verification of safety-critical systems, such as those used in avionics, automotive, defense, or medical devices, performance predictability is as essential as functional correctness. Among the many performance parameters that engineers must analyze, CPU utilization is perhaps one of the most fundamental — it defines how efficiently software uses the processor, how well timing constraints are met, and whether the system can maintain deterministic behavior under peak loads.

This blog explores the most effective tools and techniques for CPU utilization profiling, emphasizing their importance and suitability for safety-critical environments, where certification, determinism, and traceability are non-negotiable.

1. Why CPU Utilization Profiling Matters

In safety-critical systems, timing and performance are directly tied to system safety and reliability. A processor overload or a task that exceeds its execution time budget can lead to catastrophic failure. Profiling CPU utilization helps engineers to:

  • Identify bottlenecks and overutilized tasks.

  • Ensure real-time schedulability of threads and processes.

  • Verify compliance with DO-178C, ISO 26262, or IEC 62304 performance requirements.

  • Support Worst-Case Execution Time (WCET) and response time analysis for critical functions.

In short, CPU utilization profiling is not about mere optimization — it’s about ensuring deterministic timing and certifiable performance.

2. Characteristics of Tools Suitable for Safety-Critical Systems

Not all performance profilers are equal. Tools for safety-critical domains must exhibit:

  • Low instrumentation overhead — they must not significantly alter execution timing.

  • Deterministic measurement accuracy.

  • Traceability and auditability to meet certification requirements.

  • Integration with RTOS or bare-metal environments.

  • Compatibility with hardware timers or on-chip trace modules (like ARM ETM, NEXUS, or PowerPC NEXUS).

3. Popular CPU Utilization and Profiling Tools

Below are some of the widely used tools — both commercial and open-source — suitable for embedded and safety-critical domains.

a) Tracealyzer by Percepio

Tracealyzer is a powerful visualization and analysis tool for embedded systems. It integrates with many RTOS environments (FreeRTOS, SafeRTOS, VxWorks, Zephyr) and provides:

  • Real-time CPU load graphs.

  • Detailed task execution trace visualization.

  • Analysis of interrupt handling, context switches, and bottlenecks.

Tracealyzer is particularly beneficial in safety-critical systems as it provides post-mortem trace review and integrates with certified RTOSs like SafeRTOS.

b) Arm Development Studio and Arm Streamline

For systems running on Arm Cortex processors, Arm Streamline (part of Arm DS) offers detailed profiling of:

  • CPU utilization per core.

  • Cache misses, pipeline stalls, and thread scheduling.

It supports hardware performance counters, which means profiling is achieved with minimal perturbation to timing behavior — a critical advantage for real-time systems.

c) Lauterbach TRACE32

Lauterbach TRACE32 is a standard in aerospace and automotive domains. It supports:

  • Non-intrusive hardware tracing.

  • Real-time task execution time and CPU load analysis.

  • Integration with certified compilers and RTOSs.

Its NEXUS trace interface provides high-resolution timing data — vital for WCET and performance verification in DO-178C environments.

d) Wind River Workbench

For systems based on VxWorks, Wind River Workbench provides built-in performance analysis and CPU utilization tools. It captures:

  • Task-level CPU usage.

  • ISR latencies and context switch overheads.

  • Real-time execution traces.

Because VxWorks is a certifiable RTOS, the profiling data from Workbench can directly feed into certification evidence for timing verification.

e) QNX Momentics

Momentics IDE for QNX offers an advanced System Profiler that can measure:

  • CPU load and thread execution times.

  • Inter-process communication delays.

  • Priority inversion and blocking analysis.

QNX’s deterministic kernel and the traceability of its profiler make it ideal for high-assurance systems like avionics or automotive ECUs.

f) FreeRTOS+Trace and SafeRTOS Trace Tools

For developers using FreeRTOS or SafeRTOS, the FreeRTOS+Trace plugin provides:

  • CPU utilization timelines.

  • Task and ISR performance breakdowns.

  • Execution time statistics and anomaly detection.

It supports data export for certification reporting, useful when demonstrating performance consistency under DO-178C.

4. The Certification Perspective

From a certification standpoint, CPU profiling contributes to:

  • Verification of timing requirements.

  • Evidence for resource usage compliance.

  • Validation of safety margins and worst-case utilization.

For instance, DO-178C emphasizes verification of system timing margins and demonstration of deterministic behavior, both of which rely heavily on accurate profiling data. Therefore, profiling reports often become part of verification artifacts during certification audits.

5. Challenges and Best Practices

While profiling tools are essential, engineers must handle them carefully in safety-critical contexts:

  • Avoid intrusive instrumentation during final verification phases.

  • Use hardware-based tracing where possible.

  • Always cross-validate measurements using independent methods (e.g., oscilloscope vs. profiler data).

  • Maintain traceability of tool qualification — if a tool affects verification outcomes, its use may require qualification under DO-330 (Tool Qualification Supplement).

Conclusion

CPU utilization profiling is not just a performance exercise — it’s a safety assurance activity. The right tools help engineers gain insight into how software interacts with hardware under real conditions, ensuring that every task, interrupt, and process executes within defined timing limits.

For safety-critical systems, where predictability equals safety, understanding and measuring CPU utilization with precision is indispensable. Tools like TRACE32, Tracealyzer, Arm Streamline, and QNX Momentics not only enhance efficiency but also contribute directly to the certification credibility of the system.

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