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Understanding systematic errors #61

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jowens opened this issue May 8, 2020 · 2 comments
Open

Understanding systematic errors #61

jowens opened this issue May 8, 2020 · 2 comments

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@jowens
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jowens commented May 8, 2020

Performance variance study of min-/max-/avg-process-time, and looking at the impact of GPU clock/thermals/power, caching, etc.

@neoblizz
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neoblizz commented May 28, 2020

  • We can do a mini case study later on on the impact of GPU clocks, etc...
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  • Performance variance study of min-/max-/avg-process-time
    @jowens Can we try this for delaunay graphs or any of the synthetic graphs where number of nodes and edges scale up?

@jowens
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jowens commented May 28, 2020

Sure, but do we have enough runs to do that? I mean, each run we have has 10 data points, right?, but that's all. It would be hard to get anything meaningful out of that. I think we'd need a lot more data points. For instance, if the OS decided to do something compute-heavy right when a run was starting, that might completely skew the results. But you tell me!

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