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randyenergy

H2o vs. Ln2 - 4x Titan V - 0sec 995ms GPUPI - 1B

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For me it's interesting to see that Vince's run is faster for all finished batches after the first one with an advantage of up to 28 ms after batch 9 finished. From "Batch 19 finished" to "PI value output" however his system needs 114 ms, while Slinky is noticably faster with 98 ms. At first you might think that the higher-clocked 7980X with faster RAM outperformed the lower clocked 7960X with slower RAM in this phase of the benchmark in some way, but watching at the statistics segment it seems that some small hickup with Titan V #2 lead to the loss of the WR. Slinky's values are way more even in comparison. Anyway, congratulations!

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..., but watching at the statistics segment it seems that some small hickup with Titan V #2 lead to the loss of the WR. Slinky's values are way more even in comparison. Anyway, congratulations!
Actually card #1 and #3 are the problem, card #2 was the most efficient. You have to look at the percentage of batches calculated, #2 did 32% of the whole calculation in about the same time as #1 did only 21%.

 

On the software part, there was only a minor upgrade of the CUDA toolkit between 3.0 and 3.1, so there shouldn't be much difference. I think this is a good case for hardware efficiency through better stability.

 

Well done, H2o! Try GPUPI 3.2 as well, it should have a little less overhead, because it doesn't use a physical log file on a disk anymore. That could scrape off another ms maybe. :P

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