<html><head><meta http-equiv="content-type" content="text/html; charset=utf-8"></head><body dir="auto"><div><span></span></div><div><meta http-equiv="content-type" content="text/html; charset=utf-8"><div>Apple folks are also gearing up to push on the PGO front. We are primarily interested in using instrumentation, rather than sampling, to collect profile info. However, I suspect the way profile ended up being used in the various optimization and codegen passes would be largely similar. </div><div><br></div><div>There is also some interests in pursuing profile directed specialization. But that can wait. I think it makes sense for us to get together and discuss our plans to make sure there won't be duplication of efforts. </div><div><br></div><div>Evan<br><br>Sent from my iPad</div><div><br>On Jun 12, 2013, at 4:26 PM, Xinliang David Li <<a href="mailto:xinliangli@gmail.com">xinliangli@gmail.com</a>> wrote:<br><br></div><blockquote type="cite"><div><div dir="ltr"><br><div class="gmail_extra"><div class="gmail_quote"><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left-width:1px;border-left-color:rgb(204,204,204);border-left-style:solid;padding-left:1ex">
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After the basic profile-based transformations are working, I would
like to add new sources of profile. Mainly, I am thinking of
implementing Auto FDO. </div></div></blockquote><div><br></div><div style="">For those who are not familiar with what autoFDO is -- Auto FDO is originally called Sample Based FDO. Its main author is Dehao Chen @google, and Robert Hundt is the one of the main pushers of technology in Google. The latest incarnation of this technology uses LBR events available on Nehalem and above. <a href="http://www.computer.org/csdl/trans/tc/2013/02/ttc2013020376-abs.html">http://www.computer.org/csdl/trans/tc/2013/02/ttc2013020376-abs.html</a></div>
<div><div><br></div></div><div style="">Cheers,</div><div style=""><br></div><div style="">David</div></div></div></div>
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