The section prefix validation was initially added when global variable's
section prefix is only added in the codegen pass.
Now the optimizer pass MemProfUse can annotate data section prefix by
making use of data access profiles, so we can remove the validation.
Also calls `setSectionPrefix` which returns whether section prefix is
updated.
This is the 3rd patch as a split of
https://github.com/llvm/llvm-project/pull/155337
This change introduces new helper functions to check if a global
variable is eligible for section prefix annotation.
This shared logic is used by both MemProfUse and StaticDataSplitter to
avoid annotating ineligible variables.
This is the 2nd patch as a split of
https://github.com/llvm/llvm-project/pull/155337
These are identified by misc-include-cleaner. I've filtered out those
that break builds. Also, I'm staying away from llvm-config.h,
config.h, and Compiler.h, which likely cause platform- or
compiler-specific build failures.
In this PR, static-data-splitter pass finds out the local-linkage global
variables in {`.rodata`, `.data.rel.ro`, `bss`, `.data`} sections by
analyzing machine instruction operands, and aggregates their accesses
from code across functions.
A follow-up item is to analyze global variable initializers and count
for access from data.
* This limitation is demonstrated by `bss2` and `data3` in
`llvm/test/CodeGen/X86/global-variable-partition.ll`.
Some stats of static-data-splitter with this patch:
**section**|**bss**|**rodata**|**data**
:-----:|:-----:|:-----:|:-----:
hot-prefixed section coverage|99.75%|97.71%|91.30%
unlikely-prefixed section size percentage|67.94%|39.37%|63.10%
1. The coverage is defined as `#perf-sample-in-hot-prefixed <data>
section / #perf-sample in <data.*> section` for each <data> section.
* The perf command samples
`MEM_INST_RETIRED.ALL_LOADS:u:pinned:precise=2` events at a high
frequency (`perf -c 2251`) for 30 seconds. The profiled binary is built
as non-PIE so `data.rel.ro` coverage data is not available.
2. The unlikely-prefixed `<data>` section size percentage is defined as
`unlikely <data> section size / the sum size of <data>.* sections` for
each `<data>` section
