Minor QTC Integration Items

[kspaff]

Testing issue tracker with a couple of minor action items for QTC integration.

@adanalis should check and make sure:

• What I put on the wiki page (https://github.com/spaffy/shoc/wiki/Qtc) looks correct and maybe add the outputs. I haven't run QTC yet to see what metric the result is.
• Move QTC to Level 2 directory
• Add the -s parameter and sizes, then I will integrate into driver script and google results db

[rothpc]

Commit 18925dc moves QTC to level 2.

[rothpc]

Commit 1b83eb7 integrates QTC into driver script

[kspaff]

@adanalis QTC problem sizes need a little adjustment. -s 4 took 81 minutes on the Kepler in newark.

[kspaff]

Also, the only difference I notice in the output is that the Kepler (gtx680) is allocating much less texture memory (193MB vs. 1024MB on the Tesla M2090 in Keeneland)

[adanalis]

This is because "-s 4" is supposed to be badass :-)

On Jun 6, 2012, at 10:22 AM, Kyle Spafford wrote:

@adanalis QTC problem sizes need a little adjustment. -s 4 took 81 minutes on the Kepler in newark.

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[rothpc]

I don't think it takes that long on a M2090, so this seems to be a problem with the mapping of qtc to kepler.

On Jun 6, 2012, at 11:08 , adanalis wrote:

This is because "-s 4" is supposed to be badass :-)

On Jun 6, 2012, at 10:22 AM, Kyle Spafford wrote:

@adanalis QTC problem sizes need a little adjustment. -s 4 took 81 minutes on the Kepler in newark.

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Reply to this email directly or view it on GitHub:
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Philip C. Roth | +1 865 241-1543 | http://ft.ornl.gov/~rothpc

[kspaff]

Yeah, total runtime on 1 M2090 GPU on Keeneland is only ~68 seconds, so the slowdown is quite surprising.

[adanalis]

It's probably interesting to tune it. There are a couple of parameters that are easily tunable and should have a large effect on performance (i.e. number of threads/TB and numbers of registers per thread). I will look into it.

A.

On Jun 6, 2012, at 11:27 AM, Kyle Spafford wrote:

Yeah, total runtime on 1 M2090 GPU on Keeneland is only ~68 seconds, so the slowdown is quite surprising.

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