Philippe,
I couldn't help but notice you have a FirePro W9100. Any chance you have
updated benchmarks similar to
http://viennacl.sourceforge.net/viennacl-benchmarks.html? I realize the
intent of the graphical benchmark SoC project is to get more data from a
variety of systems but my curiosity is getting the better of me.
Thanks,
-Matt
On Sun, Jul 6, 2014 at 7:43 AM, Philippe Tillet <[email protected]>
wrote:
> Hey,
>
> @Toby : I'll also try to take care of runing the auto-tuner/benchmark
> script on my HD5850 or Hawaii (It's the Firepro W9100, but you can
> advertise a R9 290x for single-precision, as it is much cheaper and has the
> same chip for single precision). Which one do you prefer?
>
>
> @Karl : Yes, an easy fix :) Considering the portability problems we've had
> with GEMM for ViennaCL 1.5.2, I want to be careful. There will be a better
> default profiles for CPUs/Accelerators, a better default profiles for GPUs,
> and a better default profile for each NVidia / AMD / Intel GPUs. (In the
> meanwhile, there is one default crappy global profile. Although the 1
> work-group thing is a bug anyway...)
>
> Philippe
>
>
> 2014-07-06 13:37 GMT+02:00 Karl Rupp <[email protected]>:
>
> Hey,
>>
>>
>> > I made a small mistake when creating these "conservative" profiles. GEMV
>>
>>> runs with only one work group. I'll fix this, don't worry :)
>>>
>>
>> ah, that's an easy fix then. Thanks!
>>
>> Best regards,
>> Karli
>>
>>
>>
>>
>>> 2014-07-06 13:31 GMT+02:00 Karl Rupp <[email protected]
>>> <mailto:[email protected]>>:
>>>
>>>
>>> Hey,
>>>
>>> > I'm getting on the plane in a couple of hours, so this might be
>>> the last
>>> > you here from me till the middle of the night Europe time.
>>>
>>> Have a good flight and enjoy Texas! :-)
>>>
>>>
>>>
>>> >> > I suggest we start unifying in a couple of days indeed. I
>>> still have a
>>> >>> couple of things to merge, essentially having GEMM dynamically
>>> generated
>>> >>> for some cases and publishing the repo for auto-tuning using
>>> pyviennacl.
>>> >>> These have to be done soon so that Toby can present some good
>>> benchmarks
>>> >>> at the talk.
>>> >
>>> > I'm currently struggling to get decent performance out of
>>> viennacl-dev
>>> > master, even when not doing GEMM. Consider single-precision dense
>>> GEMV
>>> > using a square matrix and vector with 4096 rows/cols. On the GTX
>>> 470 on
>>> > krupp2, one execution takes ~0.100s; on the C2050, ~0.106s.
>>> Execution
>>> > overhead is about 0.0003s. But NumPy with MKL takes only ~0.004s;
>>> I know
>>> > that krupp2 has an 8(?)-core i7, so (something like) 512
>>> rows/cols per
>>> > core, but I still didn't expect the gap to be like that. It's
>>> strange,
>>> > because my GeForce 610M takes ~0.090s, and my Intel Ivy Bridge M
>>> GT2 GPU
>>> > takes ~0.001s (at last competitive with MKL, though I'm waiting
>>> to test
>>> > correctness as I write this). And NumPy with OpenBLAS on my i5
>>> takes
>>> > ~0.009s. Any hints?
>>>
>>> So 16M entries with 4 bytes each need to be transferred for the
>>> matrix,
>>> which amounts to 64 MB of data. At an execution time of 0.1 sec,
>>> this is
>>> equivalent to 640 MB/sec of memory bandwidth, which is about a
>>> factor of
>>> 100 off the peak. Way too low. I'll check this today, it can only be
>>> a
>>> tiny detail in the generator integration.
>>>
>>>
>>> >> These are all valid points. What about cropping this 'offset'
>>> and use
>>> >> something like the following:
>>> >>
>>> >> namespace viennacl { namespace linalg {
>>> >>
>>> >> void some_api_function() { ... }
>>> >>
>>> >> namespace detail
>>> >> {
>>> >> void some_implementation_detail() { ... }
>>> >> }
>>> >>
>>> >> }}
>>> >>
>>> >> This would preserve the benefit of a visual separation of public
>>> API and
>>> >> private implementations, yet remove the 'global' indent offset
>>> from the
>>> >> source file.
>>> >
>>> > I like this; and indeed is what I tend to do when indentation
>>> gets out
>>> > of hand.
>>>
>>> Thanks for the feedback :-)
>>>
>>> Best regards,
>>> Karli
>>>
>>>
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>>>
>>>
>>
>
>
> ------------------------------------------------------------------------------
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> Turn processes into business applications with Bonita BPM Community Edition
> Quickly connect people, data, and systems into organized workflows
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>
>
--
--------------------
Matthew Musto
[email protected]
------------------------------------------------------------------------------
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Turn processes into business applications with Bonita BPM Community Edition
Quickly connect people, data, and systems into organized workflows
Winner of BOSSIE, CODIE, OW2 and Gartner awards
http://p.sf.net/sfu/Bonitasoft
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