HI Armin and Maciej,

Let us know once you have something we could actually try.  One requirement is 
on the sampling/profiling overhead, ideally <1%, but >5% could be troublesome.  
We'd like to allow people to do performance analysis on production systems.

Meanwhile, could I make this as two separate requests:
1.  Application hot spot analysis.  Today I could run cProfile with CPython and 
get application code profiles running OpenStack Swift, but can't do the same 
thing with PyPy
2.  JITed code (assembly) mapping back to the application Python code.  VTUNE 
integration with HHVM and node.js are completed and working today, and I'd hope 
to see same capability with PyPy.  

Thanks,

Peter

 

-----Original Message-----
From: armin.r...@gmail.com [mailto:armin.r...@gmail.com] On Behalf Of Armin Rigo
Sent: Tuesday, August 02, 2016 1:18 AM
To: Maciej Fijalkowski <fij...@gmail.com>
Cc: Wang, Peter Xihong <peter.xihong.w...@intel.com>; pypy-dev@python.org
Subject: Re: [pypy-dev] how to extend VTUNE support from pypy for application 
hot spot analysis

Hi,

On 2 August 2016 at 10:09, Maciej Fijalkowski <fij...@gmail.com> wrote:
>> As far as I know (my team members tried this), vmprof does not allow us to 
>> attach to a running process? We will evaluate 
>> https://github.com/vmprof/vmprof-python if you think it's doable.
>
> You would need some form of process cooperation (I think) but it does 
> not seem impossible. What I would do is I would run a separate thread 
> that accepts something (e.g. a pipe write) and then starts vmprof.
> vmprof once started is global to all threads

Also, please note that I mentioned vmprof as a way to get started.
You would need some *like*  what vmprof does; for a clean solution you don't 
want to enable an additional profiler on your vtune code.


A bientôt,

Armin.
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