[llvm-dev] Reducing code size of Position Independent Executables (PIE) by shrinking the size of dynamic relocations section
Roland McGrath via llvm-dev
llvm-dev at lists.llvm.org
Sat Jan 6 23:43:36 PST 2018
The generic-abi thread has gone into broader subjects of the benefits and
desireability of the work. I'm willing to take it as given that the
encoded size of pure-relative address relocs (i.e. R_*_RELATIVE
equivalents)--ultimately the RODATA segment size of a given ET_DYN file--as
sole metric is a worthy goal and the ballpark savings ratios we're seeing
are worth committing to a new ABI. But I am circumspect about choosing an
encoding we will be supporting for decades to come. Whatever we do now
will surely be good enough that nobody will want to innovate again for many
years just to get to a little or a fair bit better. It behooves us to be
deliberate in getting it as good as we reasonably can get it now for the
broad range of ET_DYN files that will appear in years to come.
I tend to share the intuitions people have expressed about what kinds of
patterns of offsets are likely. I also have a contrary intuition that
there are large codebases with lots of formulaic or generated code and data
tables that may well have truly enormous numbers of such relocs that fit
highly regular patterns just slightly different from the ones we're
considering most likely.
Moreover I don't think there is any excuse for relying on our intuition
when there are vast quantities of actual data pretty readily available. I
don't mean picking a few "important" real-world binaries and using their
real data. Examples like Chrome and Firefox have already been tuned by
sophisticated developers to minimize relocation overhead and may well not
be representative of other programs of similar size and complexity. I mean
collecting data from a large and varied corpus of ET_DYN files across
machines, operating systems, and codebases.
A pretty simple analysis tool can extract from any ET_DYN file the
essential statistics (byte sizes of segments and relocs) and the list of
R_*_RElATIVE reloc r_offset values. (I started writing one in Python and I
can finish it if people want to use it.) It's easy enough to feed that
with lots of ET_DYN files available in public collections such as Linux
distros. The tool is simple to run and the data extracted not really
revealing (beyond rough binary size), so it can be applied to lots of
proprietary sets of ET_DYN files and the data contributed to the public
corpus, from places like Google's internal binaries, Android system
binaries, ET_DYN files in APKs in app stores, etc. across many companies.
Given this corpus of "reloc traces" you can code up many competing encoding
formats and do serious measurements of their space savings across the
entire corpus from simple simulations without having to implement each
encoding in an actual toolchain and dynamic linker to do the analysis.
This is some work, but I don't think it's a huge undertaking in comparison
to the actual full deployment roll-out of a new ELF dynamic linking ABI
feature and its impact, which always wind up being much more than just the
actual new code in toolchain and runtime implementations. I think the work
all over that will ripple out from the deployment, and the many-year
commitment to the new format that will inevitably be incurred, merit a
rigorous and public data-driven approach.
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