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Hello - I'm an Engineer in Microsoft Office after looking into possible advantages of using PGO for our Android Applications. We at Microsoft have deep experience with Visual C++'s Profile Guided Optimization<https://msdn.microsoft.com/en-us/library/e7k32f4k.aspx> and often see 10% or more reduction in the size of application code loaded after using PGO for key scenarios (e.g.

Thanks! CIL [LeeHu] for a few comments… From: Xinliang David Li [mailto:xinliangli at gmail.com] Sent: Wednesday, May 27, 2015 9:29 AM To: Lee Hunt Cc: llvmdev at cs.uiuc.edu Subject: Re: [LLVMdev] Capabilities of Clang's PGO (e.g. improving code density) On Tue, May 26, 2015 at 8:47 PM, Lee Hunt <leehu at exchange.microsoft.com<mailto:leehu at exchange.microsoft.com>> wrote:

David, Yes, that is very helpful. Thanks! --randy From: Xinliang David Li [mailto:xinliangli at gmail.com] Sent: Wednesday, May 27, 2015 12:53 PM To: Randy Chapman Cc: Lee Hunt; llvmdev at cs.uiuc.edu Subject: Re: FW: [LLVMdev] Capabilities of Clang's PGO (e.g. improving code density) On Wed, May 27, 2015 at 12:40 PM, Randy Chapman <randyc at microsoft.com<mailto:randyc at

Hi David! Thanks again for your help! I was wondering if you could clarify one thing for me? I find mention of “hot arc” optimization (-fprofile-arcs) , but I’m unclear if this is the same thing. Does Clang PGO do block reordering? It does reordering, but does not do splitting/partitioning. I take this to mean that PGO does block reordering within the function? I don’t see that the clang

Yes, thanks David! For the intra-procedural Basic Block Reordering, do you have any data as to how much improvement that gives speed-wise for any perf tests you’ve measured? I’m thinking this may speed things up for things like application launch by a couple %. For perf intensive code (e.g. spreadsheet recalc), I would expect it would be more. From: Randy Chapman Sent: Wednesday, May 27, 2015