[llvm-dev] [RFC] Profile guided section layout

Sergei Larin via llvm-dev llvm-dev at lists.llvm.org
Tue Jun 27 09:02:43 PDT 2017


Michael,

 

I have tried this patch with adaptation to our own linker and it works great. I would like to see this implemented on master.

Please let me know if I can do anything to facilitate this.

 

Sergei

 

From: llvm-dev [mailto:llvm-dev-bounces at lists.llvm.org] On Behalf Of Xinliang David Li via llvm-dev
Sent: Thursday, June 15, 2017 5:38 PM
To: Sean Silva <chisophugis at gmail.com>
Cc: LLVMDev <llvm-dev at lists.llvm.org>; haojiewang at google.com
Subject: Re: [llvm-dev] [RFC] Profile guided section layout

 

 

 

On Thu, Jun 15, 2017 at 2:39 PM, Sean Silva <chisophugis at gmail.com <mailto:chisophugis at gmail.com> > wrote:

 

 

On Thu, Jun 15, 2017 at 2:33 PM, Xinliang David Li <xinliangli at gmail.com <mailto:xinliangli at gmail.com> > wrote:

 

 

On Thu, Jun 15, 2017 at 2:30 PM, Sean Silva <chisophugis at gmail.com> wrote:

 

 

On Thu, Jun 15, 2017 at 11:09 AM, Xinliang David Li via llvm-dev <llvm-dev at lists.llvm.org <mailto:llvm-dev at lists.llvm.org> > wrote:

 

 

On Thu, Jun 15, 2017 at 10:55 AM, Michael Spencer via llvm-dev <llvm-dev at lists.llvm.org <mailto:llvm-dev at lists.llvm.org> > wrote:

On Thu, Jun 15, 2017 at 10:08 AM, Tobias Edler von Koch <tobias at codeaurora.org <mailto:tobias at codeaurora.org> > wrote:

Hi Michael,

This is cool stuff, thanks for sharing!

On 06/15/2017 11:51 AM, Michael Spencer via llvm-dev wrote:

The first is a new llvm pass which uses branch frequency info to get counts for each call instruction and then adds a module flags metatdata table of function -> function edges along with their counts.

The second takes the module flags metadata and writes it into a .note.llvm.callgraph section in the object file. This currently just dumps it as text, but could save space by reusing the string table.

Have you considered reading the profile in the linker and extracting that information directly from the profile? The profile should contain call sites and their sample counts and you could match these up with relocations (calls) in the section?

 

The main reason is that IPO transformations such as inlining and clonining will change the hotness of functions, so the original profile can not be directly for the purpose of function layout.   There is a similar support in Gold plugin for Google GCC.

 

Will this cause issues with ThinLTO? E.g. the thinlto backends are doing inlining of imported functions. Do we have a mechanism for those decisions to be reflected in a global profile for the linker to look at?

 

In theory the thinlto backends can keep a history of their IPO decisions in metadata or something and emit a section for the linker to aggregate and reconstruct an accurate global profile, but that seems relatively invasive. 

 

 

Yes, it will cause problems which is also known to GCC's LIPO. We have an intern working on that problem :)

 

Nice! What approach is being used to solve it?

 

 

 

The method and results will be shared at some point. One approach is what you mentioned which uses meta data and pass them to linker plugin. Another way to be explored is to let thin link phase to make a very quick cross module inlinining decisions globally and teach the backend inliner to honor the results .  The global inline decisions are not intended to replace the backend inline analysis. The global analysis can for instance, 1) expose linker GC opportunities; 2) can focus on hot functions with few callsites or very few really hot callsites; 3) identify a single module that has the most # of calls to a function and assign that module to be be final info updater; 4) decide the post-link hotness for those functions whose decisions are made at thin-link time.

 

David

 

 

-- Sean Silva

 

 

David

 

 

-- Sean Silva

 

 

David

 

 

 

 

I did this using IR PGO instead of sample PGO so the profile data can only be applied in the same place in the pipeline it is generated. Even for sample based this would be complicated as the linker would actually need to generate machine basic blocks from sections to be able to accurately match sample counts to relocations, as there may be cold calls in hot functions.

 

It may be useful however for the linker to directly accept an externally generated call graph profile. The current approach can actually do this by embedding it into an extra object file.

 

 

It doesn't currently work for LTO as the llvm pass needs to be run after all inlining decisions have been made and LTO codegen has to be done with -ffunction-sections.

So this is just an implementation issue, right? You can make LTO run with -ffunction-sections (by setting TargetOptions.FunctionSections=true) and insert your pass in the appropriate place in the pipeline.

 

Yeah, just an implementation issue. Just need to build the pass pipeline differently for LTO and add a way to do -ffunction-sections in lld.

 

- Michael Spencer

 


Thanks,
Tobias

-- 
Qualcomm Innovation Center, Inc. is a member of Code Aurora Forum,
a Linux Foundation Collaborative Project.

 


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