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Hello Aljoscha,
Thank you for reaching out to the community with your question. It sounds like you’re encountering a performance bottleneck when using the v4l2 driver in your C++ application compared to command line tools like v4l2-ctl or GStreamer. Let’s explore some potential areas to investigate:
-
Memory Mapping and Access:
- Since you’re using
mmap
, ensure that the memory is correctly aligned and that your access patterns are optimized for the CPU cache. The high CPU usage suggests that the memory copying process might be inefficient. Consider exploring alternatives tostd::memcpy()
that could better utilize the CPU’s capabilities.
- Since you’re using
-
CPU and Cache Optimization:
- You’ve already tried manual cache invalidation and prefetching, which is great. Double-check that these operations are correctly implemented, as incorrect cache handling can degrade performance. Additionally, while you’ve used
-march=archv8-a+simd
and-mtune=cortex-a53
, experimenting with different compiler flags or combinations might yield better results.
- You’ve already tried manual cache invalidation and prefetching, which is great. Double-check that these operations are correctly implemented, as incorrect cache handling can degrade performance. Additionally, while you’ve used
-
Driver and Kernel Considerations:
- Verify that the v4l2 driver and kernel are optimally configured for your use case. Sometimes, driver settings or kernel parameters can impact performance. Ensure you have the latest updates or patches for the driver that might address performance issues.
-
Benchmarking and Profiling:
- Use profiling tools to identify where the bottlenecks occur in your application. This can provide insights into whether the issue is with memory copying, CPU usage, or another part of the process.
Given the complexity of the issue, a combination of these approaches might be necessary to achieve the desired performance. If the problem persists, further investigation into the specific interactions between your application and the v4l2 driver may be required.
I hope these suggestions help you improve the performance of your application.
Best regards,
Toradex AI Assistant
Please, also check if these links can help you solve your problem:
https://www.nxp.com/docs/en/user-guide/IMX-MACHINE-LEARNING-UG.pdf.