[PyCUDA] Using TAU to profile CUDA

[Christoph Statz]

Hi;

Same thing with vampirtrace:
http://tu-dresden.de/die_tu_dresden/zentrale_einrichtungen/zih/forschung/software_werkzeuge_zur_unterstuetzung_von_programmierung_und_optimierung/vampirtrace/index_html/document_view?set_language=en

It can be used to trace CUDA CallTree/Communication and Performance.
Unfortunately a VT-instrumented pycuda triggers "CUDA Errors".

Basically tau instrumentation may be used with vampirtrace, so it might
be a starting point in getting this working.

Has there already been effort on this topic?

Sincerely,
Christoph



Am 09.12.10 17:03, schrieb reckoner:
> Hi,
> 
> Here is something I stumbled upon:
> 
> http://www.cs.uoregon.edu/research/paracomp/publ/htbin/bibify.cgi?cmd=show&coll=CONF&id=ics10&data_present=no
> 
> 
> It looks like a way to use the TAU performance instrumentation system
> with CUDA. Can this be used with PyCUDA?
> 
> Here are some more links on the subject:
> 
> http://www.cs.uoregon.edu/research/tau/docs/newguide/re17.html
> http://www.cs.uoregon.edu/research/tau/docs/newguide/bk04ch01.html#d0e2562
> 
> Thanks!
> 
> 
> 
> 
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> 

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