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...It walks arrays using different strides and working-set sizes so you can observe when access patterns overflow cache or TLB capacity. By timing tight loops and varying parameters, the program reveals step-changes in latency that map to cache lines, page sizes, and TLB coverage. It is intentionally minimal so you can modify page sizes, strides, or pointer-chasing strategies to run experiments on different machines and kernels. The code is useful for teaching, hardware bring-up, or validating assumptions about huge pages and NUMA placement. Rather than providing a plotting framework, it prints timings that you can collect and graph with external tools to visualize cache/TLB boundaries.

KCachegrind visualizes traces generated by profiling, including a tree map and a call graph visualization of the calls happening. It's designed to be fast for very large programs like KDE applications.