I found a new approach. By emitting histograms dynamically according
to gaps in the address space, we can skip encoding long regions
of mostly-zero-bins.
https://review.openocd.org/c/openocd/+/8739/ (plus the others)
Compared to increasing the single-histogram bucket count to fit the
target addre
Currently, OpenOCD's gmon profiling output is limited to a 128KBucket
histogram. This works well when samples lie within roughly 128K instructions
of each other, but when profiles contain program counter samples with
extremes beyond that, we lose instruction level granularity as the
buckets contain
