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Using Visual Trace Diagnostics to Evaluate Linux User space and Kernel space Implementations

Mohammed Billoo - Available in 6 days, 5 hours and 44 minutes (2021-05-14 07:00 EDT)

Developing performant implementations for Linux-based embedded systems can be difficult, due to the sheer complexity of the Linux kernel and the volume of processes and applications that generally exist on a Linux-based embedded system. For kernel space implementations, such as kernel modules, it is important to leverage the appropriate interfaces to the kernel and pay careful attention to the hardware interface. For user space applications, performance is key to ensure that the application can scale without substantial rework.

Software tracing can be an invaluable tool to ensure that an implementation is performant. It enables a developer to identify any anomalies that may exist while the system is running. While there exist numerous open-source utilities that can provide textual cues towards the performance of the implementation, they are generally not amenable to quickly identify any clear issues, due to the way the human brain operates.

Visual trace diagnostics can significantly reduce the time to identify anomalies in a Linux-based implementation. It leverages software tracing, but presents data in a manner that is easily consumed by the human brain. This results in quickly identifying and rectifying anomalies in an implementation.

Join Mohammed Billoo as he explores the different facets of visual trace diagnostics. His talk will consist of hands-on demonstrations that show the different elements of capturing and analyzing software traces on a Linux-based embedded system, in both user space and kernel space.

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