[BOLT][heatmap] Compute section utilization and partition score (#139193)
Heatmap groups samples into buckets of configurable size (`--block-size`
flag with 64 bytes as the default =X86 cache line size). Buckets are
mapped to containing sections; for buckets that cover multiple sections,
they are attributed to the first overlapping section. Buckets not mapped
to a section are reported as unmapped.
Heatmap reports **section hotness** which is a percentage of samples
attributed to the section.
Define **section utilization** as a percentage of buckets with non-zero
samples relative to the total number of section buckets.
Also define section **partition score** as a product of section hotness
(where total excludes unmapped buckets) and mapped utilization, ranging
from 0 to 1 (higher is better).
The intended use of new metrics is with **production profile** collected
from BOLT-optimized binary. In this case the partition score of .text
(hot text if function splitting is enabled) reflects **optimization
profile** representativeness and the quality of hot-cold splitting.
Partition score of 1 means that all samples fall into hot text, and all
buckets (cache lines) in hot text are exercised, equivalent to perfect
hot-cold splitting.
Test Plan: updated heatmap-preagg.test
llvm-project
7f4febde - [BOLT][heatmap] Compute section utilization and partition score (#139193)
